Quantitative Arbitrage Trader - Proprietary Desk

As an Arbitrage Trader at our proprietary desk in Bangalore, Karnataka, India, you will play a crucial role in leveraging data, technology, and statistical methods to identify and execute high-probability arbitrage opportunities across markets. You will be part of a high-performing team that encourages innovation, ownership of trading strategies, and operates in a performance-driven environment supported by cutting-edge infrastructure and capital. Key Responsibilities: - Design, develop, and manage quantitative arbitrage strategies across different asset classes. - Identify and exploit market inefficiencies and pricing anomalies through automated and semi-automated strategies. - Continuously improve strategy performance through statistical analysis, back-testing, and real-time monitoring. - Manage risks effectively by monitoring position sizing, exposure, and performance attribution. - Keep abreast of market structure changes, regulatory developments, and technological shifts affecting 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. - Proficiency in Python (preferred), R, C++, or similar languages for strategy development and automation. - Ability to analyze large datasets, derive actionable insights, and construct logic-driven trading frameworks. - Sound knowledge of risk control methodologies and real-time risk monitoring. - Capable of making rational decisions swiftly in high-pressure market scenarios. - Maintain composure during volatile market conditions. - Willingness to adapt, learn, and refine strategies in alignment with market dynamics. - Familiarity with trading platforms, APIs, market data systems, and low-latency environments. - Comfortable collaborating 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 such as CFQ, FRM, CMT are considered advantageous.,