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Associate - Quant Analytics
JPMorganChase
Bengaluru, IND
Full-time
Onsite
Discovered 1 weeks ago
Quantitative analyticsFinancial decision optimizationData analyticsModel requirements definitionModel analysis and assessmentBack-testing
Free
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Quantitative analyticsFinancial decision optimizationData analytics
Role Overview
The Finance Decision Optimization team oversees analytics and support for AI/ML-based models across Consumer and Community Banking lines of business.
The role supports analytical initiatives for consumer lending products within the Consumer and Community Banking Product and Transformation team.
The position is not primarily a model development role; it focuses on analytical solutions, model assessment, deep dives, and back-testing.
Key Skills for This Role
Quantitative analyticsFinancial decision optimizationData analyticsModel requirements definitionModel analysis and assessmentBack-testing
Full Job Posting
Job Overview
The Finance Decision Optimization team oversees analytics and support for AI/ML-based models across Consumer and Community Banking lines of business.
The role supports analytical initiatives for consumer lending products within the Consumer and Community Banking Product and Transformation team.
The position is not primarily a model development role; it focuses on analytical solutions, model assessment, deep dives, and back-testing.
Job Responsibilities
- Define modeling requirements for lending and deposit products including mortgage, auto, card, business banking, and wealth management.
- Collaborate with business modeling teams to develop financial decision-making models.
- Present results and recommendations to executive stakeholders and conduct model tie-outs before technology handover.
- Analyze model inputs and outputs and partner with finance, modeling, data, technology, and business teams.
- Integrate model outputs into business strategies and assess the business impact of financial strategies.
- Support legal, compliance, data governance, model review, and fair lending partners with analytics and data.
- Design and conduct MVP tests and support release decisions based on results.
- Develop dashboards and reporting to monitor model performance.
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