Quantitative Arbitrage Trader – Proprietary Desk

7 days ago


Bangalore Karnataka India FYERS Securities Full time ₹ 15,00,000 - ₹ 30,00,000 per year

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.Bachelor's or Master's degree in Finance, Economics, Mathematics, Statistics, Engineering, Computer Science, or related field.Advanced qualifications (CFQ, FRM, CMT) are a plus.



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