Complete European master guide for S&T/Quant position

BrianHunter's picture
Rank: Neanderthal | 2,554

Given the post about best master in EU to land a job in IB, I thought could be interesting to share which master I think could help you get a job in S&T/Quant, based previous research, personal experience and advices of friends in trading/quant positions.

In S&T and Quant the concept of target/semi has less importance than IB, but these masters are for sure what I think the best.
If I forget something just feel free to comment

OXFORD:
MSc Computational Math
MSc Financial Mathematics

IMPERIAL COLLEGE:
MSc Mathematical Finance
MSc Risk Management & Financial Engineering
MSc Mathematics (pure & applied)

UCL:
MSc Computational Finance
MSc Financial Risk Management
MSc Statistics

Warwick:
MSc Financial Mathematics

LSE:
MSc Risk and Finance (formerly known as Risk and Stochastic)
MSc Financial Statistics

CASS Business School:
MSc Mathematical Finance/Mathematical Trading/Quantitative Finance

King's:
MSc Financial Mathematics

Merit note goes to Birkbeck's centre of mathematics with the famous Helyette Geman

In France things are quite different with masters in math/stat in these schools still valid

CentraleSupelec:
Mastere Specialise Mathematiques appliquees a la finance

Pierre and Marie Curie university:
Most famous program like probability and finance (DEA El Karoui) and Probabilites et Modeles Aleatoires

ESSEC/EDHEC master in financial engineering or HEC master in finance work too

ENSAE master in math/engineering work too

Paris Dauphine master in financial engineering merits another note
Also Paris Diderot works

Switzerland has a lot of opportunities, most important are:

ETH Zurich:
MSc Quantitative Finance

EFPL:
MSc Financial Engineering

HSG St Gallen:
MSc Finance
MSc Quantitative Economics

In Italy

Bocconi:
MSc Finance - Quantitative Finance path

Politecnico of Milano:
MSc Mathematical Engineering - Quantitative Finance path

Good note goes to Bologna's MSc in Quantitative Finance, though placement quite regional (lands to Milan)

Germany:

TUM
MSc Math Finance

Netherlands:

Amsterdam's MSc Quantitative Finance
RSM's MSc Econometrics and Finance is another strong master

Austria

WU's MSc Quantitative Finance

Hope it helps, feel free to share comments

Comments (15)

Apr 9, 2019

Is important to note also that is quite important to have a quant background, and also master in pure physics, math, statistics or computer science help a lot, even more than MFE if you are aiming for pure quant/algorithmic trading positions!

    • 1
Most Helpful
Apr 9, 2019

Looks good. I suggest to add also

France:

EMLyon Msc quantitative finance
Ecole polytechnique (all the masters)

Italy:

Scuola Normale Pisa for Math
Scuola Sant'Anna Pisa for Math too (maybe better at UG)

Ngl I've seen also people from University of Florence's MSc in Finance and Risk Management around Paris

Germany:

Humblot Uni Berlin MSc Stochastic
UBonn

The name of the game, moving the money from the client's pocket to your pocket

    • 3
Apr 10, 2019

Seems very quant focused..

What about MSc 203 at Dauphine? MSc Financial Markets at EDHEC? MSc Finance at ESSEC? (where ~40% go into S&T)

Apr 9, 2019

They're all strong. Dauphine is more PARIS focused though
I'm impressed by the placement of EDHEC in S&T, I think is quite underrated (probably because people are more interested in IBD)

The name of the game, moving the money from the client's pocket to your pocket

Apr 9, 2019

Good Uni and masters too. Dauphine has a very great placement in Paris' banks, whilst both EDHEC and ESSEC do well in London/Singapore too
I met a great commodities trader that works in Singapore graduated from ESSEC's MSc Finance (the plain vanilla course)

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Apr 11, 2019

Why no mention of the generalist MSc Finance programs at LSE/Oxford/imperial etc? Aside from being the flagship programmes of their respective school, they all allow for module choices that are geared towards financial markets/quant stuff (Oxford financial economics and imperial MSc finance are already very quantitative anyway), and so for at least s&t I would think they are superior than the less prestigious pure financial math programs.

    • 1
Apr 9, 2019

They are strong of course, Oxford'MFE and Imperial's MSc Finance are also pretty quant focused. Nonetheless, we are coming back with the "prestigious" thing that for S&T/Quant does not matter a lot as long as you are good with numbers and able to make money.

The MD who looks at your CV would prefer Oxford financial math to MFE

Anyway, these are good masters too

    • 1
Apr 23, 2019
BrianHunter:

Given the post about best master in EU to land a job in IB, I thought could be interesting to share which master I think could help you get a job in S&T/Quant, based previous research, personal experience and advices of friends in trading/quant positions.

In S&T and Quant the concept of target/semi has less importance than IB, but these masters are for sure what I think the best.
If I forget something just feel free to comment

OXFORD:
MSc Computational Math
MSc Financial Mathematics

IMPERIAL COLLEGE:
MSc Mathematical Finance
MSc Risk Management & Financial Engineering
MSc Mathematics (pure & applied)

UCL:
MSc Computational Finance
MSc Financial Risk Management
MSc Statistics

Warwick:
MSc Financial Mathematics

LSE:
MSc Risk and Finance (formerly known as Risk and Stochastic)
MSc Financial Statistics

CASS Business School:
MSc Mathematical Finance/Mathematical Trading/Quantitative Finance

King's:
MSc Financial Mathematics

Merit note goes to Birkbeck's centre of mathematics with the famous Helyette Geman

In France things are quite different with masters in math/stat in these schools still valid

CentraleSupelec:
Mastere Specialise Mathematiques appliquees a la finance

Pierre and Marie Curie university:
Most famous program like probability and finance (DEA El Karoui) and Probabilites et Modeles Aleatoires

ESSEC/EDHEC master in financial engineering or HEC master in finance work too

ENSAE master in math/engineering work too

Paris Dauphine master in financial engineering merits another note
Also Paris Diderot works

Switzerland has a lot of opportunities, most important are:

ETH Zurich:
MSc Quantitative Finance

EFPL:
MSc Financial Engineering

HSG St Gallen:
MSc Finance
MSc Quantitative Economics

In Italy

Bocconi:
MSc Finance - Quantitative Finance path

Politecnico of Milano:
MSc Mathematical Engineering - Quantitative Finance path

Good note goes to Bologna's MSc in Quantitative Finance, though placement quite regional (lands to Milan)

Germany:

TUM
MSc Math Finance

Netherlands:

Amsterdam's MSc Quantitative Finance
RSM's MSc Econometrics and Finance is another strong master

Austria

WU's MSc Quantitative Finance

Hope it helps, feel free to share comments

But many of these are for ppl with a STEM undergrad, aren't they? (e.g. EFPL, ETH, centralesupelec, Polimi and even WBS financial mathematics (I have not see a single candidate with a Bsc in econ/management/finance, the majority had a background in physics/mathematics))

Apr 9, 2019

I'd say yes, also because the math component is quite heavy. I personally attended one of these with bachelor in accounting & finance, though wouldn't recommend doing anything related to this to someone who studied history or philosophy

Mind also that whilst a PhD in corporate finance is not that useful, a PhD in quant finance/financial econometrics/financial maths etc would be great to break into some quant funds or banks

    • 1
Apr 23, 2019

Surprised you've included LSE's Risk & Finance programme instead of its straight-up Finance programme - especially as the latter has, I think, higher quant entry requirements. It's also the case that LSE's R&F programme has a lot of qualitative modules that can be taken in place of more quantitive modules: AC412 - Accountability, Organisations and Risk Management; GY465 - Concepts in Environmental Regulation; LL4BK - Corporate Crime.

Apr 9, 2019

Thanks for pointing it out! I have to apologies, as I meant the old Risk & Stochastic course that now is quantitative methods for risk management

May 8, 2019

Hi guys,
first of all great work with this thread, a couple years ago I would have paid to have some light on which msc to target.
Anyway I would really appreciate an advice on my situation from some more experienced people who work in S&T (my goal is London S&T, specifically structuring / systematic strategies / maybe (algo) trading).
I am about to graduate from a BSc in Engineering from a university in continental europe (respected in my country, but far from a target for the UK). I hold a deferred offer for a math msc in a top UK uni (think Oxbridge / Imperial) to start in autumn 2020. I deferred it because I wanted to get some work experience before my master but I still haven't found anything valuable so I was thinking of accepting one of the other offers I had for next year (2019) since I believe that having two strong MSc is better than doing nothing / an unrelated job for a year, and I don't mind at all an extra year of study. The other offers I have are Applied Maths at LSE and Machine Learning at UCL. Which would you pick between the two (the courses in both MScs are completely different from the MSc I deferred)? Personally I see the ML msc more useful and future-proof (for areas like algo trading, and btw it has 2 electives in finance / stochastics) but I don't want to end up as a software engineer if I fail to get into finance, infact my plan B would be Management consulting in my home country, where the LSE has a much stronger brand than UCL, (the LSE msc has courses in stochastic calc, derivatives, etc but also has some elctives in Op. Research so maybe they would be useful for consulting too). What would you do in my shoes? I feel that for London S&T the ML msc would be more useful, also because UCL is a top player in CS, while LSE isn't super strong in maths, but the LSE's brand is huge, especially in my country.

Apr 9, 2019

I personally think that your profile is strong, and adding this masters would result in a very good mix for what you want to do in S&T

I don't know so much about the two master mentioned, but do feel the same about LSE and UCL. I personally think that both are strong, so I would consider them via:
1. Costs
2. How many alumni employed in your target industry

Then would contact few alumni/current students on LinkedIn
I met a few kids coming from the computational finance's MSc at UCL, and tbh they said that placement of the course is great though a bit "random" in assigning places in banks/funds etc. Moreover, a very high percentage of them go to risk management instead of trading

Oxbridge and Imperial for these subjects definitely have the edge

    • 2
May 8, 2019
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