The primary focus of this role is to design, implement, and analyze algorithms based on mathematical or statistical models to facilitate decision-making in the financial markets. We are looking for candidates with strong coding expertise in both C++ and Python, who are currently running live strategies in their present role.
What will you do
- Identify, develop, and implement algorithmic trading strategies based on sophisticated mathematical models.
- Get involved in directional high-frequency trading (HFT), optionalspread trading, volatility trading, and option market making, particularly on the National Stock Exchange (NSE) for single stocks, index, and commodities.
- Manage future& options portfolios with a consistently high Sharpe Ratio.
- Design and implement trading algorithms using real-time data, analyze marketstructure, and conduct risk analysis.
- Monitor trading strategies and performance metrics,making necessary adjustments to optimize profitability.
What will you bring
- Proven experience of successfully running strategies in a live trading environment.
- Robust coding skills in both C++ and Python with the ability to build robust, low-latency, and scalable systems.
- Deep understanding of market microstructure and order book in HFT setup
- Keen interest and In-depth knowledge of financial markets and derivatives theory
- Ability to create, test, monitor, and troubleshoot proprietary trading models, as well as customize existing models to align with specific requirements
- Familiarity with machine learning and AI in financial modeling
- 4-5 years of hands-on experience in a live High-Frequency Trading (HFT) environment
- Degree in Computer Science or Mathematics from a renowned institute
📌 Quantitative Researcher (Delhi)
🏢 Quantizer Research
📍 Delhi
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