Associate - Quant Analytics
JPMorgan · Banking & Financial Services
- Bengaluru, Karnataka, India
- Hybrid
- Posted today
- Apply by 21 Oct
- Data & AI
About the job
Join a finance team that supports the Consumer and Business Banking segment with reporting, planning, analytics, and decision-support. In this role, you will help develop and maintain quantitative revenue models and build high-quality datasets that power decisions. You will combine strong technical skills with an understanding of banking products, pricing structures, revenue drivers, and customer behavior. Your work will influence stakeholder outcomes through clear analysis, validated data, and actionable insights.
Job summary
As a Revenue Finance Quantitative Analytics and Data Engineering Analyst within the Consumer and Business Banking Finance team, you will support the development and maintenance of revenue models through quantitative analytics, data engineering, and model implementation. You will prepare and validate large datasets, perform model testing and back-testing, and evaluate model performance to support business objectives. You will apply knowledge of banking products, pricing structures, revenue drivers, and customer behavior to deliver meaningful insights to internal stakeholders, including Finance and Business Management leaders and field finance teams. You will partner across Technology, Finance, and Business teams to translate requirements into analytical solutions and support successful deployment. This role follows a 2:00pm to 11:00pm shift and works in a hybrid in-office model.
Job responsibilities
Required qualifications, capabilities, and skills