Quantitative Research - Custody & Fund Services - Associate/Vice President

Are you seeking an exciting opportunity to join a dynamic and growing team in a fast-paced and challenging environment This unique position offers you the chance to work with our team to collaborate with the Business and provide a comprehensive view of the operations. This role is a Quant Profile that supports the activities of the Quantitative Research Group (across asset classes) & Custody & Fund Services on a global scale, based in Mumbai. The QR team in Mumbai plays a crucial role in delivering effective, timely, and independent assessments of the Firm's booking models for exotic structures and contributes to the development of new models as required. As a Quantitative Research Associate/Vice President in the Quantitative Research Group, you will partner with the Business to offer a comprehensive view and support activities across asset classes globally. You will be instrumental in providing effective, timely, and independent assessments of the Firm's booking models for exotic structures while also contributing to the development of new models. Join a team that is revolutionizing business practices through data science and quantitative methods, where JP Morgan is a key player managing trillions of dollars of client assets. Responsibilities: - Conduct large-scale analysis on proprietary datasets to solve unprecedented problems - Discover new insights to drive feature modeling for nuanced insights - Develop models from prototype to full-scale production - Provide real-world, commercial recommendations through effective presentations to stakeholders - Utilize data visualization to communicate data insights and results - Document and test new/existing models in collaboration with control groups - Implement models in Python-based proprietary libraries - Provide ongoing desk support Required qualifications, capabilities & skills: - Master's or Ph.D. degree in computer science, statistics, operations research, or other quantitative fields - Proficient in data manipulation, extraction, and analysis - Strong understanding of statistics, optimization, and machine learning methodologies - Experience building models from prototype to full-scale production using ML/big data modeling techniques - Familiarity with developing models on cloud infrastructure - Integration and utilization of LLM models for advanced model development and enhancement - Basic knowledge of financial instruments and pricing - Proficiency in software design principles and development using C++, Python, R, Java, or Scala - Previous hands-on experience solving machine learning problems using open-source packages - Excellent communication skills (verbal and written) with the ability to present findings to a non-technical audience Preferred qualifications, capabilities & skills: - Participation in KDD/Kaggle competitions or contributions to GitHub are highly desirable.,