Context:

I have a Bachelor's in Electrical Engineering and a Master's in Computer Science. As you would expect, my Bachelor's in EE had a strong applied mathematics component to it, but that was 3-4 years ago. My Master's in CS had little/no math.

Case:

I'm looking to pivot myself toward a quantitative developer role in the near future. Specifically with hedge funds/buy-side firms like Citadel/Two Sigma, Jump Trading etc. Note that I'm not considering quantitative researcher or quantitative trader roles, just purely quantitative developer as I enjoy and want to work with software primarily but in the financial space - i.e. Quantitative Software engineers who implement models in code from QResearchers/Traders in an efficient and optimized manner. Now I'm very well aware that QDs will have to have a decent/strong mathematics background to be able to understand and communicate effectively with QRs and QTs and implement their solutions.

So given my background, do you think a second Master's in Mathematics/Statistics would solidify me for that path or is it just a complete waste of time/money? I could do the Master's in 1 year full-time or 2 years part-time. Or should I take online courses/refreshers?

Applied Mathematics electives:

I have a Bachelor's in Electrical Engineering and a Master's in Computer Science. As you would expect, my Bachelor's in EE had a strong applied mathematics component to it, but that was 3-4 years ago. My Master's in CS had little/no math.

Case:

I'm looking to pivot myself toward a quantitative developer role in the near future. Specifically with hedge funds/buy-side firms like Citadel/Two Sigma, Jump Trading etc. Note that I'm not considering quantitative researcher or quantitative trader roles, just purely quantitative developer as I enjoy and want to work with software primarily but in the financial space - i.e. Quantitative Software engineers who implement models in code from QResearchers/Traders in an efficient and optimized manner. Now I'm very well aware that QDs will have to have a decent/strong mathematics background to be able to understand and communicate effectively with QRs and QTs and implement their solutions.

So given my background, do you think a second Master's in Mathematics/Statistics would solidify me for that path or is it just a complete waste of time/money? I could do the Master's in 1 year full-time or 2 years part-time. Or should I take online courses/refreshers?

Applied Mathematics electives:

- Applied Complex Analysis
- Asymptotic Methods
- Bifurcation Theory
- Classical Dynamics
- Computational Linear Algebra
- Computational Partial Differential Equations
- Dynamical Systems
- Dynamics of Games
- Finite Elements: Numerical Analysis and Implementation
- Fluid Dynamics I
- Fluid Dynamics II
- Function Spaces and Applications
- Introduction to Partial Differential Equations
- Markov Processes
- Mathematical Biology
- Mathematical Finance
- Methods for Data Science
- Numerical Solution of Ordinary Differential Equations
- Quantum Mechanics I
- Quantum Mechanics II
- Random dynamical systems and Ergodic Theory (Seminar Course)
- Scientific Computation
- Special Relativity and Electromagnetism
- Stochastic Differential Equations
- Tensor Calculus and General Relativity
- Vortex Dynamics

- Probability for Statistics
- Fundamentals of Statistical Inference
- Applied Statistics
- Computational Statistics
- Statistics Research Project
- Introduction to Statistical Finance
- Advanced Statistical Finance
- Stochastic Processes
- Contemporary Statistical Theory
- Bayesian Methods
- Multivariate Analysis
- Machine Learning
- Biomedical Statistics
- Statistical Genetics and Bioinformatics
- Big Data
- Advanced Simulation Methods
- Data Science
- Deep Learning with TensorFlow
- Nonparametric Statistics
- Time Series Analysis
- Survival Models

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