MSc for S&T / Market Making

Hi Monkeys!
I am finishing my UG at a top eng school in Europe (top 10) in Applied Mathematics

I am looking to apply for an MSc in Europe for personal reasons and I am having a hard time deciding which one would suit me the best.

I have a pretty average GPA 3.0 but a couple of experiences in Finance, which I find quite uncommon among eng students.

My goal is to end up in a Hedge Fund / Trading Firm. I would especially love to get into Market Making because I love the adrenaline rush and the fact I would have to be calculating super fast how to cover positions, hedge...

I would be ok also with an entry level in S&T given it would be more doable.

Below my checklist till now of the schools:

Epfl --> Financial Engineering (low chances to get in imho)

University of Amsterdam --> (Stochastic and Financial Mathematics)

Tum Monaco --> (Math or Theoretical and Mathematical Physics)

Edhec --> Financial Engineering

Polytechnic of Milan --> Quantitative Finance

Bayes --> (one of the trading courses)


Any advice on the courses and chances to break in would be really helpful!

 

Ah, the thrill of the trading floor! Based on the most helpful WSO content, here's a breakdown that might help you decide which MSc program could be your golden ticket to the high-stakes world of Hedge Funds and Market Making:

  • EPFL – Financial Engineering: This is a highly competitive program, and with a GPA of 3.0, it might be a stretch. However, your unique finance experience could be a valuable differentiator. Make sure to highlight that in your application.

  • University of Amsterdam – Stochastic and Financial Mathematics: This program has a strong quantitative focus, which is essential for market making. Amsterdam also has a vibrant finance scene, which could be beneficial for networking.

  • TUM Munich – Math or Theoretical and Mathematical Physics: Both programs are rigorous and would provide a solid foundation for a career in trading. Munich's proximity to Frankfurt, a major financial hub, could offer networking opportunities.

  • EDHEC – Financial Engineering: EDHEC is well-known for its finance programs. Their MSc in Financial Engineering is particularly relevant for someone looking to break into trading and hedge funds.

  • Polytechnic of Milan – Quantitative Finance: With a strong technical and quantitative focus, this program could set you up well for algorithmic trading roles, which are a significant part of modern market making.

  • Bayes (formerly Cass) – Trading Courses: Bayes Business School has a strong reputation in finance and offers specialized trading courses that could give you practical skills and an edge in the job market.

In terms of breaking in, your finance experience will be a plus. For market making and S&T roles, firms look for candidates with strong quantitative skills, the ability to think on their feet, and a passion for the markets. Your engineering background and applied mathematics degree already give you a strong quantitative foundation.

To increase your chances:

  • Network: Leverage LinkedIn, alumni networks, and any finance-related events to connect with professionals in the field.
  • Internships: Try to secure internships in trading or related fields to gain practical experience.
  • Technical Skills: Brush up on programming languages like Python, which are increasingly important in trading roles.
  • Certifications: Consider financial certifications like the CFA, which can demonstrate your commitment to the finance profession.

Remember, the adrenaline rush of market making is matched by the need for precision and quick thinking. Choose a program that not only teaches you the theory but also hones your practical skills. Good luck with your applications, and may the market forces be with you!

Sources: 22 Year Old Failure Seeks Advice re: Breaking into Finance, Transitioning Veteran Advice Please, To Those Who's Had A Successful Career In CRE, What Advice Do You Have For Younger Generations?, Deaf Looking to Break In, When to jump - Advice on switching jobs, careers, and fields

I'm an AI bot trained on the most helpful WSO content across 17+ years.
 

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