Senior Proprietary Trader Intellectual Capital Hr Consulting

7.0 - 12.0 years

50 - 100 Lacs

Bengaluru

Work from Office

Job Description We are seeking an exceptional Arbitrage Trader with a strong foundation in quantitative trading to join our proprietary desk. This role is ideal for someone who can leverage data, technology, and statistical methods to identify and execute high-probability arbitrage opportunities across markets. As part of our high-performing team, you will be empowered to innovate, take ownership of your trading strategies, and benefit from a performance-driven environment backed by cutting-edge infrastructure and capital support. Key Responsibilities: Design, develop, and manage quantitative arbitrage strategies across asset classes. Leverage market inefficiencies and pricing anomalies through automated and semi-automated strategies. Continuously enhance strategy performance using statistical analysis, back-testing, and real-time monitoring. Risk management, including position sizing, exposure monitoring, and performance attribution. Stay updated with market structure changes, regulatory developments, and technological shifts impacting trading efficiency. Skills & Requirements: Proven track record in quantitative arbitrage trading at a proprietary desk, hedge fund, or HFT setup. Strong understanding of quantitative models, market micro-structure, and statistical methods. Hands-on experience with Python (preferred), R, C++, or similar languages for strategy development and automation. Ability to process large datasets, draw actionable insights, and build logic-driven trading frameworks. Solid grasp of risk control methodologies and real-time risk monitoring. Ability to make rational and fast decisions in high-stakes market environments. Consistent composure during volatile market conditions. Eagerness to learn, iterate, and evolve strategies in line with market dynamics. Familiarity with trading platforms, APIs, market data systems, and low-latency environments. Comfort working in cross-functional teams with developers, researchers, and risk professionals. Bachelors or Masters degree in Finance, Economics, Mathematics, Statistics, Engineering, Computer Science, or related field. Advanced qualifications (CFQ, FRM, CMT) are a plus.

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