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 role offers you the chance to work with our team, collaborating with the Business to provide a comprehensive perspective. This role is a Quant Profile that supports the activities of the Quantitative Research Group across asset classes and Custody & Fund Services globally, based in Mumbai. The Quantitative Research team in Mumbai plays a vital role in delivering effective, timely, and independent assessments of the Firm's booking models for exotic structures and assists in developing new models as needed. As a Quantitative Research Associate/Vice President in the Quantitative Research Group, you will collaborate with the Business to offer a comprehensive view and support the activities of the Quantitative Research Group across asset classes globally. Your responsibilities will include delivering effective, timely, and independent assessments of the Firm's booking models for exotic structures, as well as contributing to the development of new models. You will be part of a team that is revolutionizing business practices through data science and other quantitative methods, with JP Morgan being a key player managing trillions of dollars of client assets. **Job Responsibilities:** - Perform large-scale analysis on our proprietary dataset to solve unprecedented problems. - Identify new insights that drive feature modeling for nuanced insights. - Develop models from prototype to full-scale production. - Provide real-world, commercial recommendations through effective stakeholder presentations. - 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:** - A master's or Ph.D. degree in computer science, statistics, operations research, or other quantitative fields. - Strong technical skills in data manipulation, extraction, and analysis. - Fundamental understanding of statistics, optimization, and machine learning methodologies. - Experience in developing models on cloud infrastructure. - Proficiency in utilizing LLM models for advanced model development and enhancement. - Knowledge of financial instruments and pricing. - Mastery of software design principles and development skills in languages such as C++, Python, R, Java, or Scala. - Previous practical experience in solving machine learning problems using open-source packages. - Strong 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 contribution to GitHub is highly desirable.,