Quantitative Research Wholesale Credit Risk, Data Team - Associate
JPMorgan Chase
Mumbai, Maharashtra
Permanent
Full-time
22 days ago
Are you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging area This is a unique opportunity for you to work in our team to partner with the Business to provide a comprehensive view. As an Associate Quantitative Research - Cash Equities in the Global Quants Group, you will be part of a fast-growing team covering multiple asset classes across geographies. You will have the opportunity to develop cutting-edge analytics and processes, create innovative trading strategies, and collaborate with various technology teams across the trading systems and data platforms. Your role will be vital in providing the in-depth knowledge that supports our Investment Banking, Structuring, Sales & Trading, and Research businesses globally. This position is a Quant profile to support the activities of the Cash Equities Quantitative Research globally sitting out in Mumbai. The Cash Equities Quantitative Research team collaborates and partners with the Sales and Trading desks in the Equities Cash business with specific focus on developing quantitative analysis and research of trading activity, development of trading / unwinding strategies for the principal trading desk and central risk desk based on various market based alpha signals and client principal activity, automation, optimization, and hedging of trading positions managed by the desk. Job responsibilities Develop cutting-edge next generation analytics and processes to transform, automate, and improve the trading operations of our Cash businesses Develop of trading / unwinding strategies for the principal trading desk and central risk desk based on various market based alpha signals and client principal activity, automation, optimization Hedging of trading positions managed by the desk Actively engage with senior stakeholders and leaders in Equities Cash Risk businesses along with Sales and Trading desk partners to drive the implementation of sophisticated tools / analytics and advance our risk / pricing solutions Develop new innovative trading strategies, as well as enhance existing trading strategies and automated solutions. Collaborate with various technology teams across the trading systems and data platforms. Work closely with risk traders to manage the unwinding of risk positions and build analytics and data-driven processes that automate and optimize trading quantitatively Code in Python Required qualifications, capabilities, and skills Masters or equivalent degree program in math, statistics, econometrics, financial engineering or computer science Algorithms and Data Structures knowledge Exceptional analytical, quantitative and problem-solving skills Good communication and interpersonal skills Preferred qualifications, capabilities, and skills Past experience of developing mid frequency trading strategies at a buy/sell side firm. Q/KDB , Java experience Wide range of modern statistical & ML techniques
