Quantitative Research - Strategic Indices Modelling - Associate/ Vice President

As part of Quantitative Research in the Strategic Indices business, you will collaborate closely with Traders, Structuring, and Technology teams on a global scale. You will be contributing to the firm's Strategic Indices business as a Quantitative Research Associate/Vice President and a Quant Algo Developer. J.P. Morgan's Global Quantitative Research Group in Mumbai, established in 2013, serves as an extension of the firm's global quant teams worldwide. The team covers multiple asset classes across various geographies, providing essential knowledge supporting Investment Banking, Structuring, Sales & Trading, and Research businesses globally. Integrated with the Investment Banking division, the team facilitates deals and transactions by offering crucial research and insights. This role involves a Dev/Algo Quant profile within the QR SI team, focusing on developing advanced mathematical pricing models and innovative methodologies for designing, valuing, and constructing algorithmic trading strategies and their corresponding hedges. The team utilizes financial engineering, data analytics, statistical modeling, and portfolio optimization techniques to create Investable Indices for financial products. Working as a global team, collaboration with traders, marketers, and risk managers across all products and regions is essential for sales, client interaction, product innovation, valuation, risk management, portfolio optimization, and implementing appropriate financial risk controls. We are seeking an experienced quantitative strategist to join our Mumbai team, collaborating closely with trading desks to design, develop, and manage tradable indices. **Job Responsibilities:** - Develop and maintain new and existing algorithmic trading strategies. - Comprehend the valuation and risk management of production trading strategies. - Contribute to the SDLC infrastructure of complex tradable strategies and develop analytical tools for risk analysis, identifying PnL deviations and other trade investigations. - Support OTC and electronic trading activities by explaining model behavior and major sources of risks in the portfolio. - Evaluate the suitability and limitations of quantitative models and algorithmic strategies, monitoring associated model risks. - Deliver end-to-end automation and optimization of trading execution and related workflows. The successful candidate will collaborate closely with traders/structurers in Asia-Pacific, London, and/or New York and should be proactive in accessing and learning J. P. Morgan's sophisticated solutions. **Required qualifications, skills, and capabilities:** - Advanced degree (PhD, MSc or equivalent) in Engineering, Mathematics, Physics, Computer Science, etc. - Strong programming skills with proficiency in Python or C++. - Advanced knowledge of mathematics used in financial modeling, including calculus, numerical analysis, optimization, and statistics. - Understanding of the mathematics involved in financial product valuation and trading strategies. - Experience with object-oriented programming concepts. - Exceptional analytical, quantitative, and problem-solving skills. - Excellent communication skills, both verbal and written, with the ability to engage and influence partners and stakeholders. **Preferred qualifications, skills, and capabilities:** - Experience in financial markets and familiarity with trading concepts and terminology. - Knowledge of derivatives pricing theory, trading algorithms, and financial regulations. - Interest in market microstructures and quantitative trading within global markets. - Understanding of various financial risks and strategies for risk management. - Interest in applying agile development practices in a front-office trading environment. - Practical knowledge of derivatives pricing and risk management of vanilla options and volatility products. - Mindset focused on robust system and solution design and implementation, including thorough testing and verification practices.,