Why Do a Ph.D in Finance?

As a sophomore undergrad, how can I best position myself to get into a good Ph.D. program? I plan on doing a masters beforehand, and I was wondering if it would be in my best interest to seek out work experience prior to applying to Ph.D. programs or if I should just do research and work towards publications at my University (which is a top 25 school).

What are the requirements for a Top 25 Ph.D. in Finance?

Getting into a top Ph.D. in Finance program is extremely competitive. A firm foundation in math is essential as is economics. To set yourself apart, a letter from a well-published professor is going to give you an edge. If you can get yourself an internship with this professor, even better.

Any and all experience you can get prior to your Ph.D. application will be useful. The most effective approach is getting published in a top finance publication, however with the limited research knowledge and experience received in an undergrad, this can prove difficult.

Finance related work experience and internships are valuable as they display your dedication and work ethic but they are not likely going to be enough for your Ph.D. application. What they will do is give you a better of an idea what a career in finance would be like and if you would prefer to be in a bank/corporate setting or academia post-graduation.

Finance Ph.D. Ranking

Take a look at some of the top-ranked business schools according to Bloomberg

teenagepirate:
Top finance Ph.Ds are more competitive than any entry-level job within banking. A publication always helps. Research experience helps more than internships but competitive internships (top name bank etc.) have value because they're a signal that you're capable of working hard.

Admission to the top 25 schools is essentially a lottery. Average GMAT for Chicago's finance Ph.D. was 760+ for instance. Work hard, do your math courses, do your economic courses, get good recommendation letters from well-published finance profs (try to do research internships with them). Independent research won't get you very far because as an undergrad, you're just not trained well enough to do it to a high level.

What do Finance Ph.Ds do after Graduating?

A Ph.D. in Finance will set you up for a position at a quantitive trading desk. They land fewer jobs with I-banks and more often work behind the scenes and are generally less involved directly with clients as their reputation tends to be that they are more academic and less business oriented. What it does set you up for, however, is a career in academia as a professor or researcher.

Schumacher:
I-banks generally have economists and market strategists (not sure who gets these jobs and how) that generally most of these people carry PhDs.
The trend at most quant trading desks seems to lean more towards the physics, mathematics, statistics PhDs.

It's a great degree to have if you want to break into trading. To be honest, a Finance Ph.D. is basically only beneficial to people who want to become college professors, which has its perks (ridiculously short hours, low-stress environment, and great pay assuming you can get a job at a half-decent college).

https://www.youtube.com/watch?v=tnn4Ny67DY4

UES802:
I was talking a bit ago with an MD at an MM I-bank and someone asked him a similar question. He responded with, while anything is possible, attaining a Ph.D. in Finance won't really help your chances to get into I-banking all that much. He personally felt that people who go this route tend to get too used to the culture and routine that is involved with school, and are better equipped to become a professor than to attempt to enter the business world.

Academic-based positions can be extremely lucrative and appealing due to the great benefits and hours but if you’re keen to work with clients and in the front end of things, it would probably be more book education than you need.

Read More about Finance Ph.Ds at Wall Street Oasis

Decided to Pursue a Wall Street Career? Learn How to Network like a Master.

Inside the WSO Finance networking guide, you'll get a comprehensive, all-inclusive roadmap for maximizing your networking efforts (and minimizing embarrassing blunders). This info-rich book is packed with 71 pages of detailed strategies to help you get the most of your networking, including cold emailing templates, questions to ask in interviews, and action steps for success in navigating the Wall Street networking process.

Networking Guide

 
IlliniProgrammer:
It's fairly difficult. Princeton admits 1-2 PhDs each year. Same with the other top ten schools.

My advice is to write a paper that gets published in a Big Three journal (Journal of Finance, Journal of Financial Economics, Review of Financial Studies.) If you can do that, you should get in just about anywhere.

Wow, are non-ivies (say, top 30 schools) a little easier? How about a publication in a good health economics journal? (I hope to get more involved in healthcare finance research)

Would my undergrad summers best be utilized by doing research or internships at F500 or investment banks?

 
IlliniProgrammer:
It's fairly difficult. Princeton admits 1-2 PhDs each year. Same with the other top ten schools.

My advice is to write a paper that gets published in a Big Three journal (Journal of Finance, Journal of Financial Economics, Review of Financial Studies.) If you can do that, you should get in just about anywhere.

Woah woah woah... Princeton doesn't have a PhD in Finance, it's a PhD in Economics but you can do a finance concentration. Nevertheless, it's not the best place to go for pure finance, definitely not a top 10 school for finance research. They're good at some areas and have some good profs but not a top 10 overall... top 25 maybe. "If you can do that" is something that has eluded most finance PhD students at the top schools until the final year of their PhD or similar. You can get tenure at a top 150 school with one top 3 publication.

Top finance PhDs are more competitive than any entry level job within banking. A publication always helps. Research experience helps more than internships but competitive internships (top name bank etc.) have value because they're a signal that you're capable of working hard.

Admission to the top 25 schools is essentially a lottery. Average GMAT for Chicago's finance PhD was 760+ for instance. Work hard, do your math courses, do your econ courses, get good recommendation letters from well published finance profs (try to do research internships with them). Independent research won't get you very far because as an undergrad, you're just not trained well enough to do it to a high level.

Finally, don't post here, post on urch.com and read econjobrumors.com . People here are a little bit retarded and think a PhD is something you do if you don't get a job and you want to be lazy. A finance assistant prof (ie straight out of PhD) at a top 25 school will get $200k+ for 9 months a year and a professorial lifestyle. Hell, even PhD students get a $30k stipend (and can raise external financing for the program). It's not as much as you get paid in industry, but it's pretty excellent when you consider the lifestyle and the fact that you don't have to wade through as much bullcrap in your career.

 
teenagepirate:
IlliniProgrammer:
It's fairly difficult. Princeton admits 1-2 PhDs each year. Same with the other top ten schools.

My advice is to write a paper that gets published in a Big Three journal (Journal of Finance, Journal of Financial Economics, Review of Financial Studies.) If you can do that, you should get in just about anywhere.

Woah woah woah... Princeton doesn't have a PhD in Finance, it's a PhD in Economics but you can do a finance concentration. Nevertheless, it's not the best place to go for pure finance, definitely not a top 10 school for finance research. They're good at some areas and have some good profs but not a top 10 overall... top 25 maybe. "If you can do that" is something that has eluded most finance PhD students at the top schools until the final year of their PhD or similar. You can get tenure at a top 150 school with one top 3 publication.

Top finance PhDs are more competitive than any entry level job within banking. A publication always helps. Research experience helps more than internships but competitive internships (top name bank etc.) have value because they're a signal that you're capable of working hard.

Admission to the top 25 schools is essentially a lottery. Average GMAT for Chicago's finance PhD was 760+ for instance. Work hard, do your math courses, do your econ courses, get good recommendation letters from well published finance profs (try to do research internships with them). Independent research won't get you very far because as an undergrad, you're just not trained well enough to do it to a high level.

Finally, don't post here, post on urch.com and read econjobrumors.com . People here are a little bit retarded and think a PhD is something you do if you don't get a job and you want to be lazy. A finance assistant prof (ie straight out of PhD) at a top 25 school will get $200k+ for 9 months a year and a professorial lifestyle. Hell, even PhD students get a $30k stipend (and can raise external financing for the program). It's not as much as you get paid in industry, but it's pretty excellent when you consider the lifestyle and the fact that you don't have to wade through as much bullcrap in your career.

How are the results for attending a program outside the top 30 or even top 50? Does it get increasingly tough to get tenure and industry opportunities?

Also, I was on academic probation during my freshman year due to poor grades. If I bounce back to about a 3.7 GPA or so by time of application, would it come back to bite me?

Thank you for your response, it helped greatly!

 
teenagepirate:
IlliniProgrammer:
It's fairly difficult. Princeton admits 1-2 PhDs each year. Same with the other top ten schools.

My advice is to write a paper that gets published in a Big Three journal (Journal of Finance, Journal of Financial Economics, Review of Financial Studies.) If you can do that, you should get in just about anywhere.

Woah woah woah... Princeton doesn't have a PhD in Finance, it's a PhD in Economics but you can do a finance concentration. Nevertheless, it's not the best place to go for pure finance, definitely not a top 10 school for finance research. They're good at some areas and have some good profs but not a top 10 overall... top 25 maybe. "If you can do that" is something that has eluded most finance PhD students at the top schools until the final year of their PhD or similar. You can get tenure at a top 150 school with one top 3 publication.
Well yes. Technically the PhD is in Econ, but we call the Econ PhDs at Bendheim Finance PhDs and it is for pretty much all purposes a Finance PhD.

Between Harrison Hong, Markus Brunnermeier, and Ben Bernanke, we have our fair share of research on the financial markets.

Everyone has access to WRDS; everyone can crank out an analysis and figure out if there's something publishable in about a week's time; and the papers are examined blindly. This is something any 21 year old with Excel and WRDS can do; it's not exactly like this is 1978 and some 18 year old is trying to invent the PC in his parents' California garage. (Oh wait.)

Ask a tough question for which there is financial or economic data to answer it with. Then find an appropriate journal to submit your analysis to. They don't really consider the fact that you're an undergrad until the decision to publish has already been made.

Get something published- just make sure you have something really interesting. The JoF's submission fee is something like $250 and they have a twelve week turnaround time.

 

The market is very good, solid 6 figure salaries for starting associate professors. Pretty much everything you read about getting into economics PhD programs can be cross applied to finance PhD programs. The most improtant things are going to be:

  • Math background: math stats, probability, differential equations, and real analysis would be very good.
  • Recs from profs
  • Experience working as a research assistant, writing a senior thesis, etc. These are the sorts of things that make for good recs.
  • A non disqualifying GRE quant score (as close to 800 as possible).

Also look into econ PhDs where you can concentrate in financial economics. They won't care about interning at a F500 or whatever, it's irrelevant.

 
teenagepirate:
(the reason I mentioned Etula there in the last paragraph is not because he's a retard or anything but because his asset pricing paper was mentioned on Falkenblog yesterday http://falkenblog.blogspot.com/2013/01/is-broker-dealer-leverage-elusiv… and I really wasn't convinced by it yet this guy is an "asset pricing expert" in QIS at GSAM)

How difficult is getting into an accounting phd program? What undergrad/MS concentrations would set me up best for this and/or finance?

 
jackd9999:
teenagepirate:
(the reason I mentioned Etula there in the last paragraph is not because he's a retard or anything but because his asset pricing paper was mentioned on Falkenblog yesterday http://falkenblog.blogspot.com/2013/01/is-broker-dealer-leverage-elusiv… and I really wasn't convinced by it yet this guy is an "asset pricing expert" in QIS at GSAM)

How difficult is getting into an accounting phd program? What undergrad/MS concentrations would set me up best for this and/or finance?

Accounting is easier than finance. Take a look at the applicants/place numbers for some of the top research business schools like Chicago, Harvard, NYU etc. (though admittedly, they're among the best places for finance but not for accounting). It's less crowded.

As for your undergrad, it's not super important. Undergraduate accounting tends to be way more practical than what research is. Your best bets are math, econ, statistics and finance, with a few accounting courses so that you understand the very basic concepts. After those come engineering, physics etc. Essentially, you just need to be able to show that you can handle the very quantitative courseload. Often, you'll need to have done a few basic courses in micro-economics and finance, but this is not a hard requirement at all schools. Some schools (Stanford comes to mind, MIT too I think) also require some programming proficiency so it makes sense to do a bit of compsci as well.

 
And are you serious about "everyone can crank out an analysis and figure out it there's something publishable"? It takes Hong, Brunnermeier etc. a year or so to go from idea to publication and that's with an army of research assistants and co-authors. It's virtually impossible for an undergrad to know the established methodologies for a given field, to know whether their question is relevant and to be able to write the paper in the right way to get their point across in a way that's acceptable to the editors. An undergrad is not going to get a top 3 pub in econ/acc/fin, they may get their dissertation in if their supervisor puts a lot of work into it, but I've never seen a BSc diss make it, only masters level ones. And, as I said, the supervisor usually helps a lot with that.

If you have a trading strategy that can generate a big enough sharpe ratio, it's not too tough to get it published in the JQFA. And if it's big enough and obvious enough to raise a lot of doubt about the EMH or CAPM, you're now talking about a big three publication.

You can vet a trading strategy in about three days in industry. It took me a week to come up with something that can consistently generate a Sharpe of 2.

Most of the quants who held Finance PhDs I worked with in industry were published multiple times in grad school. Seriously, it's not all that tough. And it doesn't really matter your school's ranking- it matters what you, personally get published. Attending a school with a brand name can also be helpful, but you're only the sum of your work product.

Bottom line: If you want into grad school, get something published.

 
IlliniProgrammer:
And are you serious about "everyone can crank out an analysis and figure out it there's something publishable"? It takes Hong, Brunnermeier etc. a year or so to go from idea to publication and that's with an army of research assistants and co-authors. It's virtually impossible for an undergrad to know the established methodologies for a given field, to know whether their question is relevant and to be able to write the paper in the right way to get their point across in a way that's acceptable to the editors. An undergrad is not going to get a top 3 pub in econ/acc/fin, they may get their dissertation in if their supervisor puts a lot of work into it, but I've never seen a BSc diss make it, only masters level ones. And, as I said, the supervisor usually helps a lot with that.

If you have a trading strategy that can generate a big enough sharpe ratio, it's not too tough to get it published in the JQFA. And if it's big enough and obvious enough to raise a lot of doubt about the EMH or CAPM, you're now talking about a big three publication.

You can vet a trading strategy in about three days in industry; probably less. It took me a week to come up with something that can consistently generate a Sharpe of 2.

Most of the quants who held Finance PhDs I worked with in industry were published multiple times in grad school. Seriously, it's not all that tough. And it doesn't really matter your school's ranking- it matters what you, personally get published. Attending a school with a brand name can also be helpful, but you're only the sum of your work product.

http://mitsloan.mit.edu/phd/current-students.php http://www.stern.nyu.edu/experience-stern/about/departments-centers-ini… http://www.gsb.stanford.edu/phd/students/job_candidates.html

Just randomly picked 3 top 10 schools that showed CVs of their current students / job market candidates. Most of them have no publications, a few have one paper with a supervisor or something. You don't get a top 3 publication for figuring out a trading rule, you don't even get a JPM or FAJ for that. No one cares, it's probably the result of data mining or ignoring something like liquidity/trading costs etc..

And what do you mean by quant? You mean someone working derivs, or a quant as in someone who specializes in quantitative investing? Basically mathematical finance vs. asset pricing? Because in mathematics and physics it's a lot easier to publish than in finance, articles are much shorter and take less time to get through.

If getting a top journal publication was easy, leading professors wouldn't travel half-way around the world to present papers at seminars and get comments on them.

 
teenagepirate:
IlliniProgrammer:
And are you serious about "everyone can crank out an analysis and figure out it there's something publishable"? It takes Hong, Brunnermeier etc. a year or so to go from idea to publication and that's with an army of research assistants and co-authors. It's virtually impossible for an undergrad to know the established methodologies for a given field, to know whether their question is relevant and to be able to write the paper in the right way to get their point across in a way that's acceptable to the editors. An undergrad is not going to get a top 3 pub in econ/acc/fin, they may get their dissertation in if their supervisor puts a lot of work into it, but I've never seen a BSc diss make it, only masters level ones. And, as I said, the supervisor usually helps a lot with that.

If you have a trading strategy that can generate a big enough sharpe ratio, it's not too tough to get it published in the JQFA. And if it's big enough and obvious enough to raise a lot of doubt about the EMH or CAPM, you're now talking about a big three publication.

You can vet a trading strategy in about three days in industry; probably less. It took me a week to come up with something that can consistently generate a Sharpe of 2.

Most of the quants who held Finance PhDs I worked with in industry were published multiple times in grad school. Seriously, it's not all that tough. And it doesn't really matter your school's ranking- it matters what you, personally get published. Attending a school with a brand name can also be helpful, but you're only the sum of your work product.

http://mitsloan.mit.edu/phd/current-students.php http://www.stern.nyu.edu/experience-stern/about/departments-centers-ini… http://www.gsb.stanford.edu/phd/students/job_candidates.html

Just randomly picked 3 top 10 schools that showed CVs of their current students / job market candidates. Most of them have no publications, a few have one paper with a supervisor or something. You don't get a top 3 publication for figuring out a trading rule, you don't even get a JPM or FAJ for that. No one cares, it's probably the result of data mining or ignoring something like liquidity/trading costs etc..

And what do you mean by quant? You mean someone working derivs, or a quant as in someone who specializes in quantitative investing? Basically mathematical finance vs. asset pricing? Because in mathematics and physics it's a lot easier to publish than in finance, articles are much shorter and take less time to get through.

If getting a top journal publication was easy, leading professors wouldn't travel half-way around the world to present papers at seminars and get comments on them.

You keep acting like getting a paper published is work. Here is a sample of stuff that's going to be published in the JoF:
Uncovering Hedge Fund Skill from The Portfolio Holdings They Hide

This paper studies the “confidential holdings” of institutional investors, especially hedge funds, where the quarter‐end equity holdings are disclosed with a delay through amendments to Form 13F and are usually excluded from the standard databases. Funds managing large risky portfolios with nonconventional strategies seek confidentiality more frequently. Stocks in these holdings are disproportionately associated with information‐sensitive events or share characteristics indicating greater information asymmetry. Confidential holdings exhibit superior performance up to 12 months, and tend to take longer to build. Together the evidence supports private information and the associated price impact as the dominant motives for confidentiality.

http://onlinelibrary.wiley.com/doi/10.1111/jofi.12012/pdf

Ok, so someone had the neat idea of running a regression of hedge fund performance against the percentage of portfolios that they disclose through amendments. Woohoo! Journal of Finance! Oh, wow, it was probably mostly done by a grad student too (Yuehua Tang).

As for the strategies, of course you have to take bids and asks. These are reported in nearly every market database. You also have to be conservative in estimating market impact for larger strategies- the fact is that you may not be able to execute some strategy with millions of dollars off of a bid or ask of 500 shares, but there are a number of models commercially available for empirically guessing how much such a transaction would move the market.

If you (1) have a valid arbitrage strategy that WILL make money and (2) use it to make a convincing argument about financial theory, you pretty much have a publication in either the Big Three or one of the next few journals.

Of course, sometimes the best strategies and ideas never get published.

1.) Come up with a theory about the markets. Ideally one that relies on data that wasn't available 20 years ago. (This may rule out theories on cash equities) 2.) Design a strategy to test that theory. 3.) Figure out whether the results show anything. Ideally, try to have a natural experiment with a control and a test. 4.) Figure out how interesting and meaningful those results are. 5.) Clean it up and try to publish it.

You should be able to cycle through 1-4 in 40 hours of work. 5 will take another ~80 hours before you submit to your first journal. Also it's wise to submit to some repository so your idea doesn't get scooped.

 

I just noticed you also asked about the UK in your first post. So I'll mention that briefly as well.

Basically, in the UK, LBS is basically an American school and is the only UK school that ranks really well globally. LSE has a good name in industry but they're very large and not that respected internationally in "academic finance" or accounting, and apparently treat their PhD students quite poorly. LSE, Warwick, Imperial, Cass, Oxford and Cambridge are pretty much what you would treat as the second tier of schools in the UK after LBS with each having some sort of problem: Cambridge's faculty of finance is tiny and very junior but decent, at the other end of the spectrum you have LSE and Cass which are really big but with a lot of mediocre people and bought talent. Oxford had like 3 people go to this year's AFA meeting which was quite impressive for a faculty as small as theirs. For the UK and finance, LBS is the way to go and should that fail, then LSE and Oxford. But there are many many schools that are as good as LSE and Oxford which are not impossible to get into in the US so at that point it becomes a point of how much funding you can get and how well the research interests match yours. For accounting, I have no idea really because it seems like accounting research in Europe and accounting in the US are done completely differently and European researchers are just unable to get good publications into the top US journals but dominate publishing in AOS. I don't know enough to rank the schools but LBS's department of accounting seems fairly good by international standards (faculty seem to publish in the top US journals), even though it's quite small.

 
As for if you have a valid arbitrage strategy, lots of people think they do and try to publish them but get rejected. Why? Because most likely they're ignoring something... A lot of professionals think they've got a winning strategy but if they exposed that strategy to the kind of scrutiny that academic ideas get they'd realize just how flawed it actually is.
Professionals' strategies are scrutinized by the market and it either works or they go out of business.
There have been a couple of arbitrages published in recent years but in reality they're quite rare.. If you have a valid arbitrage strategy that will make money, chances are that either you can use it to make a lot of money (doesn't happen often in practice) or you can publish it (doesn't happen often either).
The best indication of whether a strategy makes money is (1) whether you can actually execute on it (duh) (2) whether there is an intuitive explanation for it and (3) whether the backtests hold up through several market cycles and environments.

This isn't that complicated, though.

 

Geez, finance PhD programs are insanely competitive. If you're in a good program, I would stay where you are.

Depending on your location, you should be able to find part-time work/internships/consulting jobs while you are working on your degree. If you come out with strong work experience and a good thesis, just about any buyside firm will at least give you a look.

I assume you have a stipend? Then the only cost is opportunity. In this market, staying in a PhD program isn't a terrible idea. You could always quit if you get an offer from a top fund - but in the meantime, you are building your resume (and hopefully getting work experience).

 

I do have a stipend, but unfortunately my program won't allow me to take outside work while enrolled in the program. So my options for building work experience are pretty limited.

 

A phD will definitely get you noticed but if you don't have any relevant experience, summer internship, etc, then you will be just like every other PhD who is having a career crises. The problem with a masters at a non-feeder school is that there are many people with them (MFE, etc.) so your resume won't stand out too much. I would say the ceiling is not higher with a PhD but it will help you get noticed by top shops/AM firms.

If you don't want to do quant/systematic strategies then the value proposition of a PhD diminishes. But again, a PhD will get you noticed in any shop that isn't straight fundamental.

I would think that if you're at a top school then many of your professors consult for the industry. you should ask them about their experience and then also see if they can help you get a summer internship or help them on a project. that should give you a better idea if you think it's worth quitting your program.

 

Since you're pursuing a PhD in Finance, you're most likely going to be offered positions in quantitative finance research(derivatives pricing). It isn't that bad of a place to be. If you don't want to complete your thesis, then by all means start applying to all the major companies.

You're most likely in a small predicament. I'm guessing you don't know how to program the common languages used like c, c++, java, and python which would rule you out of many quantitative research positions. Given that, you'll be in a more competitive pool competing with students straight out of undergrad for research positions. Since you have a masters, many company HR reps will say you deserve higher pay. But then you've got to think about the department budget and who's running it and what they're willing to sacrifice. In a sense, you run the risk of being overqualified for a research position but under-qualified for another(quant finance research).

With that said, i'd recommend you get through the remainder years and complete your phd.

If you really want to go into industry, 2 years of programming will do you well, C++, Java, and Python at the minimum.

I would have to disagree with one of the above posters. Do not tell your professors that you're planning to go into industry. As you already know, the whole point of a PhD is to prepare you to be an academic researcher. You'll most likely face some opposition when planning your thesis if you tell your professors that your headed to industry.

It is not about the title that you have, it is about how much money that you have.
 
 

Also, finish the PhD. Somehow. The signal premium is worth it. You could arguably drop out with an MS which was paid for and go to work on the street as a quant, but Dr. ABC > Mr. ABC.

Also the buy side roles which are available to Finance PhDs are VERY different from the roles held by MFEs.

 

i actually put these facts to this forum just after seeing very few "quality" Masters level specialized fin. programs in US, on other hand all big universities are investing through doctorate level finance courses in finance industry.

 

From my understanding most of the PHD students in business schools go there for free. Most of these people want to teach and do research, which is cool. I don't think most of them get a phd for the money, it is more like credential that they need to be able to teach and do research.

 

Why are you asking? These types of questions alone are a pretty good indication that you will never be a Finance PhD.

But to answer your question Finance PhDs have been known to secure jobs as quants and associates at BBs. Like always the better the school...the better your chances of landing these types of jobs.

Personally, I think a PhD in Finance is a complete waste of time unless you had your heart sent on the academic world. If youre brainy enough to get a PhD in finance youre probably brainy enough to get a PhD or at least a Masters in Math/Stats/CompSci/Physics, all of which are probably more marketable in the academic world AND finance.

 

I concur with Schumacher.

I was talking a bit ago with an MD at a MM I-bank and someone asked him a similar question. He responded with, while anything is possible, attaining a PhD in Finance won't really help your chances to get into Ibanking all that much. He personally felt that people who go this route tend to get too used to the culture and routine that is involved with school, and are better equipped to become a professor than to attempt to enter the business world.

 

I'm interested in why you think quants are quasi-academic trolls?

I've heard a lot of quants say that having a postgraduate math degree for quant roles is completely unnecessary/overkill, since the math you learn as an undergraduate math major is sufficient. It's more a function of marketability, or advertising on behalf of the firms who hire these math PhDs.

Also, your comments on mathematical-finance research seems reasonable given many of the opinions of renown quants. Apparently, a lot of the research has just become completely useless and unsound - essentially mental masturbation.

 

Keep in mind, quants at places like AQR/Two Sigma do more than just research - they also develop and execute actual investment strategies.

The issue is that your background already puts you into the 'quantitative roles bucket'. It may be difficult to convince people in roles with more client-interaction that they should hire you. Trading, risk and investment management roles are what's open to you right now. Of these, investment management would probably offer the most client-interactions.

Investment management at a BB like Goldman Sachs Asset Management, as opposed to a quant fund, may offer a bit more of what you're looking for. I have seen some quants (with/without PhDs) in asset management roles at BB banks. I also hear that Asset Management has quite a bit of client interaction, although others are better qualified to advise you on this.

If you want to get out of quant roles completely, then you're going to have more trouble. This is made significantly worse by the fact that you're a Math PhD, rather than straight out of undergrad. It makes you an 'experienced' hire and I'm not sure how well a Math PhD would be able to recruit for an IB analyst role, ect.

 

IBD I would say a no. You're likely too old and a bit too quantitatively orientated for the role which is as much soft skills as hard science. I would imagine you may have an easier time on the S&T side with a quant desk but I would think you'd likely need to develop some coding skills which frankly shouldn't be that hard to pick up.

 

Thanks, guys. So you guys suggest that only 'quant' related positions would be available for me? And for the programming language, I am currently using matlab and R for my coursework and research. Would it be sufficent?

 
Best Response
undefined:

Thanks, guys. So you guys suggest that only 'quant' related positions would be available for me?
And for the programming language, I am currently using matlab and R for my coursework and research. Would it be sufficent?

Matlab and R are perfect. In trading, you want a language you can crunch data / backtest strategies with (R / Python) as well as one that has solid execution when you go live (Matlab / Python / C++). Look into statistical arbitrage / pairs trading, you should pick this up no problem w/ your background. Download a few data sets online, run some simple analysis to start, and you can formulate a strategy to start paper trading on your own. From there you can join prop desks, HFT, structuring etc.

If algorithmic trading doesn't interest you and you don't want to go the pure academic route another way in is through a multilateral organization as an economist. After a few years those positions can set you up well to jump to a bank or hedge fund where you can make some serious coin.

 

I like the idea about economics. There is a third option other than industry and academia... Government!

Federal Reserve has nice paychecks and exit opps... They cap out around 200 k though if I remember right.

And PLEASE... If you want to go to industry do NOT do research on corporate finance. I would use the opportunity to find an arbitrage or something other statistically significant relationship which produces consistent alpha.

 

My thesis in on market microstructure of derivatives market. I also work on asset pricing.

Let's say I am graduating in summer, when do you think I should start sending e-mails?

 
buybuybuy:
3 years ago.

Agreed. Start emailing and calling ASAP. Attend as many networking events as possible. Tap into the alumni networks of both your PhD school and BA/BS school, as well as any possible masters you may have done.

Array
 

Your background certainly isn't bad. I have done some reading in finance PhD programs and I think you have a lot of points in your favor. I think it is likely that you will be able to get in somewhere, however there are a few things to keep I mind from what I've read:

  1. The Math. Have you taken Real Analysis in undergrad? Finance and Econ PhDs are pretty brutal math-wise and knowing the EE students I know, it is very possible to come out of an engineering program without a strong enough math background for a Finance/Econ PhD.

  2. You alluded to this in your post but finance PhD programs are extremely competitive. Even for someone like you it will be tough to get in to a top program.

  3. Research fellowship is a big point in your favor, leverage that in your application.

The last act is tragic, however happy all the rest of the play is; at the last a little earth is thrown upon our head, and that is the end for ever.
 

Great thanks for your comment. First of all, here is a list of math courses I took: Cal I, II, III, IV, Linear Algebra, statistics, Regression/forecasting, Probabilistic method in engineering which covers some Real Analysis, and many other engineering courses requiring intro knowledge level of Real analysis. But I have not taken a course called Real Analysis. And I am aware of the competitiveness of the Finance PHD program :(

What do you think of my lowish gpa and verbal score? Any reg flag or yellow card?

 

The life of an academic is, to misquote Thomas Hobbes, "solitary, poor, nasty, brutish" and shit.

You have much less autonomy you think you do; you're obliged to churn out a constant streams of papers that will (most likely) be read by almost nobody; and, you have to be prepared to relocate to the middle-of-nowhere's-ville to take a job teaching undergrads. To make things worse, the actual process of researching can be incredibly lonely too.

Not for me. And I strongly considered it.

 

Also, I think that a major catalyst for my thought process here is that I don't really see myself living tick-by-tick to the stock market, or being so focused on a given industry that I can tell you the exact inventory level for a company 3 quarters ago. Don't get me wrong, I love my job right now -- and I think that analysts who are so in tune with an industry are really good, and it's amazing to see that level of knowledge about companies.

I feel like the things that I like about doing ER I can do for my own portfolio on a go-forward basis. And I also want to make sure that I can have solid balance in my life -- be a husband, be a good dad. Not that it can't be done in ER, but the balance challenge is significantly more difficult.

I'm aware that academia is no bed of roses and that there's no "free lunch", but I feel like, for me, the benefits outweigh the costs.

 

Fair enough.

Do a Masters and re-assess. I was dead set on avoiding the City and "corporate" economics when I finished my undergrad. Two years later I u-turned.

So long as you apply yourself with gusto- and don't look back- you can't really go wrong, as with most things in life. Until your set off in the direction, keep your options open and don't burn any bridges.

 

Ibanks generally have economists and market strategists (not sure who gets these jobs and how) that generally most of these people carry PhDs.

The trend at most quant trading desks seems to leaning more towards the physics, mathematics, statistics PhDs.

If you have a good math background you can check out the MFE programs both in the U.S. and U.K. Its a great degree to have if you want to break into trading

To be honest, a Finance PhD is basically only beneficial to people who want to become college professors, which has its perks (ridiculously short hours, low stress environment, and great pay assuming you can get a job at a half-decent college). If I-banking is what you're after though, dont waste 8-12 years of your life pursuing a PhD when you could be gaining some valuable work exp.

 

A PhD would be relevant on certain trading desks, research, probably risk management, and I can't really speak to other areas . If you have a finance PhD you will not have a problem getting a job at a bank - they are in very high demand. Having said that, don't get a PhD as a means to get into banking unless you are really, really, interested in the topic you're working on. Something like 50% of PhD finance candidates burn out, and that's coming from an already very select crowd - I've heard admissions stats are somewhere around 10-20%. It's not an easy road.

 

I wouldn't recommend to do that online MBA. To me that's kinda ridiculous. There are all kinds of majors in IBD, so don't worry about that. Maybe the CFA Level I can show your general interest in finance, but there are very variable notions on this strategy here on WSO

You're Ivy, so that's a very big plus. I would concentrate on getting my story right: " Why do you wanna do finance?" Why now? What can you bring to the table? I also would try to dwell on your quant skills, if there are any.

Your age is a big problem, so be prepared.

Good luck!

 

Due to my experience you would only have a shot for an assoiciate positions with a prestigious MBA, not at all with an online MBA.

The UCLA program or CFA Level I program is a very good add on in my opinion.

But I think you have to focus on getting a job (networking) more than to add another qualification.

So let me ask you: Why do you wan't to get into finance?

Have you ever thought about consulting? (Your CV and Ph.D. may have mor advantages here) I'm just asking because I do have a couple of friends who want(ed) to get out of their traditional field (engineering, chemistry;..) just to do something more business related without any clear focus.

 

I am leaning towards a MBA which could open more doors compared to specific training/knowledge I could get from CFA. Even though its online, its the same degree given to other students in the full-time program (the interviewers won't know unless he/she asks me explicitly about the nature of the program) Since I already have access to alumni network and career services at my ivy league schools, I don't care much about the networking opportunity within my MBA cohort. My plan is not get another brand name on my resume - but to retool my management skills and sharpen my business acumen, which I think can be done through an online program.

I am also planning to give a shot at consulting too. BUT English is my second language, and my presentation skills might not be as smooth as those of native speakers. And consulting involves a lot more interactions with clients, social skills play a bigger role to success in consulting than in IB. So I guess I might have better chances of having a career in IB.

I don't want to go into academia. My goal had been to join the private sector since I started my PhD program. Finance fascinates me for several reasons (including great pay). Particularly, I am pretty good with analytical skills and want to help companies search out ways to become more financially independent. Another reason is that my home country does not have an established financial market (no credit bureau, no mortgage loan, no stock exchange). With international experiences and top-notch training i could get here in the US, my dream is to return home one day and help develop the financial sector back in my country.

Any more suggestions? Thank you!

 

You can make it into banking- but generally speaking the work is pretty mind numbing and might feel below your intellectual abilities / curiosity, given that you have gone through the trouble of getting an advanced degree. Realistically, your best shot is to network your way in. Success depends on how good you are at networking, MBAs, CFAs, all that stuff is a waste of time.

 

28 is the average age, so you're definitely not on the old side. Your work experience is a bit on the light side, and it's going to be a red flag that you were at two firms for less than a year unless you explain it well. That said, a dual Biochem Ph.D and MBA will make you highly employable, so I think you can certainly get into the schools you are aiming for (although, you might come off as unfocused since your career isnt based on your Ph.D...make sure you can build a coherent story). You MIGHT have to re-apply once before you get in, to show more experience, but you'll definitely get in eventually. You might have more trouble in the Top 10/MBA business schools ">M7 schools though if you decide to reach, but your target schools are fine (Haas will be a reach though).

 

Thank you for the input guys. I realize that my work experience will be a glaring weakness on my application that I would need to address in some capacity. To qualify, I was not laid off, nor was I job hopping. My 7 months work experience at the boutique consulting firm was a work study (co-op) program. The work focused on management consulting for the life science and biotech industry. I am still currently employed at the start-up and the IT consulting firm. Both firms are involved in software development for the healthcare and life science sector. By the time I matriculate into any MBA program I would have been at these two companies for 2 years.

I am also not sure how MBA programs take into consideration the PhD experience. As part of the PhD program, I essentially served as a research assistant for 4 years. Since I am legally a paid employee of the University, should this not count as work experience in some capacity?

Thanks again.

 

Yes, your work experience as a research assistant in the university does count. Your combination on-going experiences look consistent with what I have seen in other students who are applying from an academic setting. I don't see any red flags. But like any other candidate, you want to present your purpose as having something bigger than simply wanting to switch functions. Get your story clear, I mean really clear, and of course, figure out ways that your experiences will add to a class.

Tell us more about this Cornell program for scientists (!) I thought it was just a tech program in NY. -- sorry to be ignorant, especially in public. I will be visiting the Cornell Tech Center in NY in a few weeks, so give me good questions to ask.

Betsy Massar Come see me at my Q&A thread http://www.wallstreetoasis.com/forums/b-school-qa-w-betsy-massar-of-master-admissions Ask away!
 

I do know of a number of PhDs that have gone to MBA business schools ">M7 schools more or less straight out of grad school. Doable, but not that common. If you can justify an MBA (having a good story) and also have demonstrated excellence out of academics (ECs, leadership roles, etc...), I believe you would be competitive at your schools of interest.

 

There's literally book guides printed out to answer those general questions. Search the forum or read them. also go to the wilmott forum instead. More PhDs there and they would be more knowledgeable of the opportunities. This forum is mostly populated with Investment Bankind Division aspirants. You'd be in Sales and Trading.

The most important and first filter for you is going to be- how good is your C++?

And yes, you'd be an associate. And full-time recruiting is going on right now. But for the jobs where they specifically look for quant PhDs- that recruiting isn't as structured. (of course some PhDs go into non-PhD required/recommended jobs too). For the quant PhD jobs you're looking at 3 main things:

  1. risk management. especially market risk. considered middle office. nobody's top choice. mostly statistics skills. filled with many non-PhDs too. Some people kind it interesting though. little to no programming.
  2. Quantitative Developer. This is almost all programming work. Yet filled with math/physics/engineerg, etc PhDs.
  3. model validation. almost all quant PhDs. will require programming but not as much as QD. Generally MFE-type maths, but they prefer a PhD to get it right. Considered a typical springboard to front office trading/structuring.
  4. trading. what everyone wants. the background highly depend on the asset you trade- PhDs will go to the exotic products or the more automated products (automated is obviously programming work).
 

thanks a lot.

i know a bit of C and am gonna work on developing that. i think i will be fine after studying it for a month...

is there any other skill theyre gonna look for? for instance, say my phd is in engineering. are they gonna ask me technical questions related to my prior cousework? or is it just going to be basic probability questions and brainteasers that i've seen on the internet?

finally, assuming im an industrial engineering phd from columbia, have working C skills, and can talk about my research, what's the chance i can get hired as a phd, in any div at GS?

 
is there any other skill theyre gonna look for? for instance, say my phd is in engineering. are they gonna ask me technical questions related to my prior cousework? or is it just going to be basic probability questions and brainteasers that i've seen on the internet?

finally, assuming im an industrial engineering phd from columbia, have working C skills, and can talk about my research, what's the chance i can get hired as a phd, in any div at GS?

An interview is not going to be advanced technical stuff. But in the past it was common to have some people take a test and decide interviews based on that. That's another reason you'd want to apply sooner or later. Credit Suisse used to have a in-house test for applicants to their "quantitative associate" program- which basically encompassed 99% of the jobs a PhD would go into. Several times a year they'd have a 100+ people come in and take a test- mostly higher-level undergrad level questions in math areas useful for finance. And another common thing is an online test that supposedly measures your programming ability through multiple choice questions. There's a company that does it that several banks use- can't remember the name now.

But how they interview PhDs can change over the years depending on the bank, the department and sometimes even whoever is currently in charge in that area. Don't know how GS does it. As for your chances of getting into ANY division at GS? That's not an illuminating question. And in fact depends more on their current staffing needs in particular areas than it does on you (unless you're an expert in some in vogue area like signal processing?). But assuming you work at it- e.g. contacting HR and headhunters- I'd say pretty good.

 

GS is actually the largest employer of PhD's after I believe the federal government. BB love PhDs and they are much harder to fire too, due to their expertise.

Consider finding a recruiting firm.

You will most likely find a position as a quant or as GS likes to call them, strategists. Put simply, you will a traders bitch.

 
GS is actually the largest employer of PhD's after I believe the federal government. BB love PhDs and they are much harder to fire too, due to their expertise.

I don't think that's true. At the end of the day its a bank not a technology/science company. And quantitative finance is just a subset of a broader industry. Besides Google is almost 2x as big. IBM is 10x as big (in employees).

I'm sure they have a higher attrition rate though- just because there's a higher learning curve in their job.

 

thanks so much for the insights, everyone. very helpful.

so all in all, you'd say that there is a good chance that I can land a job at a BB, provided I prepare. that's pretty much what I wanted to gauge.

given that, what would you say is the best way I should approach preparing for interviews? is the interview process as cutthroat as it is for undergrads? is there a book or a program i can subscribe to that will prepare me for interviews? i'm just reading wilmott's FAQs in quantitative finance as of now.

 

Heard on the Street....but its kinda old now. But everyone uses this. And they expect almost everyone to have seen it. Review your probability, calculus, ode/pde. Prepare for C++ brainteasers. The interview process is a lot more variable then undergrad. It's not nearly as structured. Typically not as many stages.

They'll look at your CV and ask you questions from it. So be prepared for that obviously. If you display some quant finance knowledge they might ask you further questions. Otherwise just read Hull. If you have time- then go into more finance reading like Shreve- but better to be strong on the basics than weak and broad. The finance questions will be secondary. If you fuck up the prob/calc/ode question- then that's instant death.

Next, a lot of PhD hires are interviewed specifically by a certain desk/group for a specific position. So once you hear about the interview- you're going to want to learn more about their work, the financial instrument, etc. And pay extra attention on that group's most relevant quant skill. e.g. for an interview with market risk you might want to add stats/econometrics to your reviewing. for model validation pde's. for quant developer- c++ brainteasers.

 

'I am an international student who is about to graduate this semester from a non-target school in US, have not yet networked enough and secured a job in IB due to time manners. I am thinking of pursuing a PHD degree here in US after my undergraduate probably at schools around New York area so that it would be easy for me to travel there and make connections. If success in securing a job, then I would leave the PHD program. I dont want to pursue a MSF or a MFE due to budgetary issue. Do you think it is feasible? Will I have a shot in getting into BBs? By the way I am majoring in economics, had an internship with a boutique in the M&A advisory, but currently only targeting the BBs'

'have not yet networked enough' 'due to time manners.' 'if success in securing a job' 'due to budgetary issue,' etc.

Iunno. your point gets across, but it's not 'good' english persay.

 

Amet quia est sequi labore. Et sed quia quo ut cum temporibus necessitatibus. Harum ab id laudantium officia quo deserunt. Harum inventore molestiae nam nam et eos nulla. Qui quaerat incidunt consequuntur doloremque quam consequatur odio. Deleniti officiis culpa omnis tempore. Ullam ducimus tempora consequuntur quis molestias nam eveniet quia.

Labore dolorem ducimus possimus rerum at. Voluptatum est earum cumque officia distinctio. Impedit aliquid adipisci id temporibus laudantium ut eos.

Accusamus ut dolores veritatis repellendus perferendis culpa quis. Sit blanditiis omnis deleniti et officia dignissimos. Nam sed autem ad ipsa est consequatur reiciendis.

 

Sed fugiat voluptas quis maiores vel. Odit qui est nesciunt minus error. Iusto eos quis aut sed quisquam delectus. Numquam quo saepe repellat necessitatibus consequatur eos est.

Quas tempora tenetur fugiat iure. Eveniet quis ut reiciendis molestiae.

Laborum et aut error sit vel. Qui repellat error impedit vitae neque. Beatae id molestias reiciendis voluptatum ut qui.

Qui aut et eveniet omnis eligendi. Debitis numquam et omnis dolorum explicabo.

 

Ut necessitatibus vitae ex velit dolorem. Eaque et explicabo eos repellendus quia. Possimus vel voluptate aut fugit soluta aut aut.

Eos rerum maiores voluptas voluptatem autem dolorem qui officia. Nesciunt tempore blanditiis enim natus et labore at provident. Qui impedit est aliquam ea cupiditate beatae.

Et fugit enim perspiciatis exercitationem voluptas cumque. Odit recusandae ut vel qui ipsum. Quod consequuntur sit quasi voluptate nesciunt perferendis vel ut. Qui dolor sed quia quod magni enim. Magni porro quo cum non adipisci.

Career Advancement Opportunities

April 2024 Investment Banking

  • Jefferies & Company 02 99.4%
  • Goldman Sachs 19 98.8%
  • Harris Williams & Co. New 98.3%
  • Lazard Freres 02 97.7%
  • JPMorgan Chase 03 97.1%

Overall Employee Satisfaction

April 2024 Investment Banking

  • Harris Williams & Co. 18 99.4%
  • JPMorgan Chase 10 98.8%
  • Lazard Freres 05 98.3%
  • Morgan Stanley 07 97.7%
  • William Blair 03 97.1%

Professional Growth Opportunities

April 2024 Investment Banking

  • Lazard Freres 01 99.4%
  • Jefferies & Company 02 98.8%
  • Goldman Sachs 17 98.3%
  • Moelis & Company 07 97.7%
  • JPMorgan Chase 05 97.1%

Total Avg Compensation

April 2024 Investment Banking

  • Director/MD (5) $648
  • Vice President (19) $385
  • Associates (86) $261
  • 3rd+ Year Analyst (13) $181
  • Intern/Summer Associate (33) $170
  • 2nd Year Analyst (66) $168
  • 1st Year Analyst (205) $159
  • Intern/Summer Analyst (145) $101
notes
16 IB Interviews Notes

“... there’s no excuse to not take advantage of the resources out there available to you. Best value for your $ are the...”

Leaderboard

1
redever's picture
redever
99.2
2
BankonBanking's picture
BankonBanking
99.0
3
Secyh62's picture
Secyh62
99.0
4
Betsy Massar's picture
Betsy Massar
99.0
5
CompBanker's picture
CompBanker
98.9
6
dosk17's picture
dosk17
98.9
7
GameTheory's picture
GameTheory
98.9
8
kanon's picture
kanon
98.9
9
Jamoldo's picture
Jamoldo
98.8
10
bolo up's picture
bolo up
98.8
success
From 10 rejections to 1 dream investment banking internship

“... I believe it was the single biggest reason why I ended up with an offer...”