Jeroen Van Zundert is a portfolio manager and experienced quantitative corporate credit investor with 11 years in systematic and research-driven strategies, currently managing credit portfolios at Cubist Systematic Strategies. He holds a PhD in Finance and dual cum laude master’s degrees in Quantitative Finance & Actuarial Science and Operations Research, and has published in top finance journals while serving as a referee for academic outlets. His background blends deep econometrics, statistics and programming skills with practical quant experience across corporate bonds, global equities and cross-asset strategies. Notably, he contributes to open-source data tooling—improving tests and type annotations in the high-performance Polars dataframe project—reflecting his interest in data analytics and machine learning applied to quant investing.
11 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Finance, Doctor of Philosophy - PhD, Finance at Tilburg University
Bsc., Econometrics & Operations Research, Bsc., Econometrics & Operations Research at Universiteit van Tilburg / Tilburg University
Dataframes powered by a multithreaded, vectorized query engine, written in Rust
Role in this project:
Back-end Developer & Test Automation Engineer
Contributions:141 reviews, 145 commits, 209 PRs in 1 year 2 months
Contributions summary:Jeroen contributed to the Polars repository by addressing Python test warnings and improving the quality of the test suite. They fixed warnings in Python tests, improved the date range functionality, added new tests for functions within the `polars` library and updated the tests. They also addressed and fixed various type annotations and ensured that the output from the tests are correct.
Fast multi-threaded DataFrame library in Rust and Python
Contributions:3 PRs, 400 pushes, 201 branches in 1 year 10 months
multithreadingpolarspythondataframesrust
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Jeroen Van Zundert - Portfolio Manager at Cubist Systematic Strategies