Job
Description
Role Quantitative Trader Location Gurugram, India (on-site) Description At tensorfox, we’re building a high-performance trading firm competing across crypto, equities, and listed options on the world’s most liquid exchanges . We are hiring Quantitative Traders with strong technical and analytical ability — people who think in expected value, understand risk, and want to build edge through data. You’ll work on both systematic and semi-systematic strategies — using data and code to develop models, test ideas, and trade real capital. Whether you’re a recent grad or have a few years of experience, what matters is your ability to think probabilistically, act autonomously, and stay intellectually curious. If you’ve explored markets on your own, played poker or bet sports seriously, or built models to test an edge — we want to talk. The Mission Design, test, and iterate on systematic and semi-systematic trading strategies across crypto, equities, and options. Analyze data to find patterns, inefficiencies, and alpha signals. Collaborate with engineering to implement strategies and optimize execution. Monitor performance and adapt strategies to changing market conditions. Use a scientific approach to evaluate new ideas — from backtest to live deployment. Engage with global macro events, exchange behavior, and real-time risk. The Skills and Qualifications Degree in Computer Science, Mathematics, Engineering, Physics, or similar — from a top university (IITs or equivalent strongly preferred). Proficiency in Python for research and prototyping (Rust or C++ are a plus). Strong grasp of probability, statistics, and data-driven reasoning. Clear and demonstrable interest in financial markets. Bonus: Background in games of skill — poker, sports betting, fantasy sports, or chess. Bonus: Prior experience at a trading firm, fund, or prop desk. Bonus: Built or traded your own strategies (even in sim/demo environments). The Compensation For graduates : Starting salary of $40,000 – 50,000 USD per year . For experienced candidates : Compensation is flexible and depends on your track record, skillset, and fit. Discretionary bonuses are available, linked to individual and firm performance. We operate in a meritocratic environment — sharp, curious minds move up quickly and are given responsibility early.
