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.

This position is a Quant Profile to support the activities of the Quantitative Research Group (cross asset classes) & Custody & Fund Services globally sitting out in Mumbai. The QR team in Mumbai plays a critical role in providing effective, timely and independent assessments of the Firm’s booking models of exotic structures and also help in developing new models for structures as and when necessary.

As a Quantitative Research Associate/Vice President within the Quantitative Research Group, you will partner with the Business to provide a comprehensive view and support the activities of the Quantitative Research Group across asset classes globally. You will play a critical role in providing effective, timely, and independent assessments of the Firm’s booking models of exotic structures and help develop new models as necessary. You will be part of a team transforming business practices through data science and other quantitative methods, where JP Morgan is a dominant player, handling trillions of dollars of client assets.

Job Responsibilities :

• Perform large-scale analysis on our proprietary dataset to solve problems never tackled before
• Identify new insights that drive feature modelling to generate nuanced insights
• Build models end-to-end, from prototype to full-scale production
• Make real-world, commercial recommendations through effective presentations to various stakeholders
• Leverages data visualization to communicate data insights and results
• Document and test new/existing models in partnership with control groups
• Implementation of models in Python-based proprietary libraries.
• 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 understanding of statistics, optimization and machine learning methodologies
• Build models end-to-end, from prototype to full-scale production, utilizing ML/ big data modeling techniques
• Knowledge in the development of models on cloud infrastructure
• Integrate and utilize LLM models for advanced model development and enhancement
• Possess basic knowledge of financial instruments and their pricing
• Mastery of software design principles and development skills using one of C++, Python, R, Java, Scala
• Previous practical experience in solving machine learning problems using open-source packages
• Strong communication skills (both verbal and written) and the ability to present findings to a non-technical audience

Preferred qualifications, capabilities & skills :

Participation in KDD/Kaggle competition or contribution to GitHub highly desirable