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

Are you seeking an exciting opportunity to become a part of a dynamic and expanding team in a fast-paced and challenging environment This unique role offers you the chance to collaborate with the Business in providing a comprehensive view. This position entails a Quant Profile to support the activities of the Quantitative Research Group across various asset classes and Custody & Fund Services globally, located in Mumbai. The Quantitative Research team in Mumbai holds a pivotal 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 within the Quantitative Research Group, you will engage with the Business to offer a comprehensive perspective and aid the activities of the Quantitative Research Group globally across asset classes. Your key responsibilities will involve delivering effective, timely, and independent assessments of the Firm's booking models for exotic structures and contributing to the development of new models when necessary. You will be an integral part of a team revolutionizing business practices through data science and other quantitative methods, where JP Morgan stands as a leading player, managing trillions of dollars of client assets. **Job Responsibilities:** - Conduct large-scale analysis on our proprietary dataset to address unprecedented challenges - Discover new insights to drive feature modeling for nuanced insights - Develop models from prototype to full-scale production - Provide real-world, commercial recommendations through impactful presentations to various stakeholders - Utilize data visualization for effective communication of data insights and results - Document and test new/existing models in collaboration with control groups - Implement models in Python-based proprietary libraries - Offer ongoing desk support **Required Qualifications, Capabilities & Skills:** - A master's or Ph.D. degree program in computer science, statistics, operations research, or other quantitative fields - Strong technical skills in data manipulation, extraction, and analysis - Fundamental knowledge of statistics, optimization, and machine learning methodologies - Ability to build models from prototype to full-scale production, utilizing 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 understanding of financial instruments and their pricing - Proficiency in software design principles and development skills using C++, Python, R, Java, or Scala - Prior practical experience in solving machine learning problems using open-source packages - Excellent communication skills (both verbal and written) and the capability to present findings to non-technical audiences **Preferred Qualifications, Capabilities & Skills:** - Participation in KDD/Kaggle competitions or contributions to GitHub are highly desirable,