Mentorship is separate from our client work. It is for individual researchers, developers and traders who want an experienced second opinion, and for people moving into quantitative finance from another field.
Sessions are one to one with Ben Racz, who taught algorithmic trading at the College of Engineering of Carnegie Mellon University from 2023 to 2025 and wrote the curriculum of the Institute of Algorithmic Trading and Applied Computational Finance.
What a session can cover
- Your research. A review of a strategy, a backtest or a research notebook against the research standard we use for clients: costs, sizing, search space and untouched data.
- Your systems. How to structure research infrastructure, execution code and risk controls so they can be tested and trusted.
- Your career. What desks, funds and trading firms look for, how to show research to them, and what to learn next.
Structured learning
If you need a full grounding rather than advice, the Institute of Algorithmic Trading and Applied Computational Finance teaches it in 52 courses and 15 credential programmes, with routes for traders, practitioners and researchers. Some courses are free.
How to ask
Write to our contact address with “Mentorship” in the subject line. Tell us where you are now, what you are working on, and what you want from the sessions. Do not send code or data in the first message.