About the role

We are seeking a highly driven and analytical Quantitative Researcher with a strong foundation in mathematics, statistics, and market microstructure to join our crypto trading team. This role is ideal for candidates passionate about high-frequency trading (HFT), statistical arbitrage, and creative alpha discovery in decentralized and centralized digital asset markets.

The ideal candidate should have hands-on experience in developing and testing trading strategies, coupled with a deep understanding of order book dynamics, risk modeling, and ML techniques grounded in sound statistical reasoning, not just generic algorithmic applications.
Key Responsibilities
- Research, design, and implement quantitative trading strategies in crypto markets using statistical and machine learning models.
- Conduct alpha research, signal generation, and strategy backtesting using large-scale historical tick/order book data.
- Develop and apply statistical arbitrage techniques across multiple crypto assets and exchanges (both CEXs and DEXs).




- Model market microstructure phenomena such as latency arbitrage, limit order book dynamics, and short-term price impact.
- Perform rigorous data analysis and hypothesis testing to validate trading ideas and monitor live strategies.
- Collaborate with engineering teams to deploy strategies in production environments with low-latency constraints.
- Continuously monitor and improve model performance using real-time and historical data.
- Stay abreast of latest developments in DeFi, crypto trading infrastructure, and quantitative finance research.
Required Qualifications
- Bachelors, Masters, or PhD in Statistics, Mathematics, Physics, Computer Science, or a related quantitative field.
- Solid knowledge of probability theory, stochastic processes, time series analysis, and optimization.
- Proven experience with crypto markets, including knowledge of CEX/DEX mechanics, liquidity provision, and volatility regimes.
- Strong coding skill

📌 Quantitative Researcher (Bengaluru)
🏢 BitQcode Capital
📍 Bengaluru