Quantitative Trading & Technology
Jane Street is a global proprietary trading firm that uses sophisticated quantitative analysis and technology to trade a wide range of financial instruments. Known for its collaborative culture and emphasis on problem-solving, Jane Street consistently ranks among the most selective employers in quantitative finance.
3-5 medium-hard coding problems covering arrays, graphs, dynamic programming, and probability. Trading tracks include mental math questions.
Basic probability topics including Bayes' Rule and Conditional Expectation. Questions feel conversational rather than quiz-like.
Long-form applied probability problems using the same principles as Round 1 but with different constraints and scenarios.
Complex probability problems significantly harder than previous rounds. Tests depth of understanding and creative problem-solving.
Multiple interviews covering problem solving, probability/statistics, coding (any language), data analysis, and general interests. For researchers, includes elements of both trading and software engineering.
Make real-time trading decisions using quantitative analysis. Work on pricing models, risk management, and market strategy.
Develop trading strategies and models. Work overlaps both trading and software engineering.
Build trading systems, market data infrastructure, and internal tools. OCaml is the primary language.
Compensation varies by role, with traders typically at the higher end. Strong performance-based bonuses.
Sharpen your arithmetic speed for Jane Street interviews with our free mental math games.
Jane Street is extremely selective, with an acceptance rate below 1% for internships (fewer than 80-150 spots from thousands of applicants). Full-time roles are similarly competitive.
No prior finance knowledge is required. Jane Street looks for strong problem solvers with mathematical aptitude. The interviews focus on probability and reasoning, not financial concepts.
Jane Street is famous for using OCaml extensively. However, you can interview in any language you're comfortable with. Learning OCaml basics can be helpful for SWE roles.
Practice daily with MyntBit's mental math games at myntbit.com/games. Focus on speed and accuracy with multiplication, division, and percentage calculations. Our games are designed specifically for quant interview prep.
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