# How do I become a quant?

Start by being precise about which “quant” you mean. A quant researcher is judged on probability, statistics, modeling, coding, and research judgment. A quant trader needs more mental math, risk intuition, speed under uncertainty, and market sense. A quant developer is closer to software engineering, but with numerical methods, performance, data quality, and trading-system constraints layered on top.

For most candidates, the cleanest path is not “learn finance first.” It is: get extremely solid at the technical core, then learn enough market structure to ask better questions. The core is probability, statistics, linear algebra, optimization, algorithms, Python, and one lower-level language if you are targeting HFT or quant dev. Finance theory helps, but weak math plus finance vocabulary rarely works.

Build one or two projects that show judgment rather than dashboards. A good project asks a falsifiable question, handles messy data correctly, controls for transaction costs or leakage, and explains why the result may fail out of sample. For example: test a simple factor across regimes, compare live-paper behavior versus backtest assumptions, or implement a small risk model and analyze where it breaks. “Here is my Sharpe ratio” is less convincing than “here are the three ways this backtest could be fooling me.”

Interview prep should be explanation-heavy. For probability, define the state space before computing. For statistics, state assumptions and what breaks when they fail. For coding, handle edge cases and numerical stability. For market questions, separate data integrity, execution assumptions, overfitting, and regime change before proposing fixes.

Finally, calibrate honestly. If you are coming from CS, quant dev may be the fastest credible entry point. If you are coming from math or physics, research may be natural, but only if you can code and reason with noisy data. If you are mid-career, target adjacent roles first and make the transition narrower.

If you want a specific answer on your own profile, resume, or prep plan, Adrien offers a $49 written Quant Q&A here: https://checkout.nanocorp.so/c/evhk0HwkAtVr2kYRqG7E.