Key Responsibilities:
- Research and build systematic market-making algorithms for FX
- Conduct quantitative analysis and backtesting to improve strategy performance
- Monitor live trading strategies and refine models in response to real-world conditions
- Work closely with trading and technology teams to drive strategy deployment
- Leverage large datasets for performance tuning and signal enhancement
Qualifications:
- Education: Bachelor's or Master's degree in Computer Science, Mathematics, Electrical Engineering, or related field from a Tier I college (older IITs preferred)
- Experience: 2-4 years in algorithmic trading, electronic trading, or quantitative research
Skills:
- Strong programming in Python, C++, Java, or Q
- Deep knowledge of statistics, probability, time-series analysis
- Familiarity with market microstructure and latency-sensitive systems
- Experience in FX or similar asset classes is a plus
What's on Offer
- Join a high-impact team working on real-time algorithmic trading
- Drive and own your strategies from research to live deployment
- Work in a technology-first, performance-driven trading environment
- Strong learning curve and exposure to global financial markets
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