Applied AI ML Sr Associate

JPMorgan Chase Bank; Mumbai; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

JPMorgan Chase Bank in Mumbai leads governance of vendor fraud models across CCB, overseeing onboarding, monitoring and annual assessments to ensure compliance with MRGR and fair lending standards.

The role partners with Product, Risk Strategy, Vendors, Compliance and Legal teams to drive governance, perform reviews, and communicate actionable insights to senior leadership on model performance and risk impact.

Qualifications

• Advanced degree in a quantitative field as specified.
• 5+ years of predictive risk modeling or governance experience.
• Strong understanding of MRGR, Fair Lending reviews, and governance processes.

Responsibilities

• Manage end-to-end lifecycle of vendor fraud models including onboarding, reviews, upgrades, monitoring, annual assessments and remediation.
• Partner with Product, Risk Strategy, Vendors, Compliance, Legal and MRGR teams to support onboarding and governance.
• Prepare and coordinate model documentation, governance submissions, Fair Lending and MRGR reviews.
• Monitor model performance, manage MRIs and action plans, ensure governance compliance.
• Evaluate benefits, risks and impacts of vendor models and provide insights to senior leadership.
• Lead discussions on model selection, usage rationale, contingency planning and strategic risk management.

Skills

Predictive risk modeling

Model governance

MRGR

Fraud risk modeling

Stakeholder management

Communication skills

Education

MS or PhD in quantitative discipline

Job description

This role sits within CCB Risk Management and is responsible for leading the governance and oversight of vendor fraud models used across the Consumer Community Banking (CCB) business.

Key responsibilities:

• Manage the end-to-end lifecycle of vendor fraud models, including onboarding, reviews, upgrades, ongoing monitoring, annual assessments, and remediation activities.
• Partner with Product, Risk Strategy, Vendors, Compliance, Legal, and Model Risk Governance Review (MRGR) teams to support model onboarding and governance.
• Prepare and coordinate model documentation, governance submissions, Fair Lending reviews, and MRGR reviews.
• Monitor model performance, manage Model Risk Issues (MRIs) and action plans, and ensure compliance with governance requirements.
• Evaluate business benefits, risks, and impacts of vendor models and provide actionable insights to senior leadership.
• Lead discussions around model selection, usage rationale, contingency planning, and strategic risk management.

Desired profile:

• Advanced degree (MS or PhD) in a quantitative discipline such as Statistics, Mathematics, Computer Science, Econometrics, Operations Research, or Physics.
• 5+ years of experience in predictive risk modeling and/or model governance within financial services.
• Strong understanding of MRGR, model risk management, Fair Lending reviews, and governance processes.
• Experience in fraud risk modeling and stakeholder management across multiple functions.
• Excellent communication skills and ability to influence senior stakeholders.

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