Applied AI ML Sr Associate

JPMorgan Chase & Co.; Mumbai; On-site; INR 4,000,000 - 8,000,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a senior professional to lead the governance and oversight of vendor fraud models used across the CCB business. You will manage the model lifecycle, coordinate with risk, compliance, and MRGR teams, and drive documentation and reviews to ensure robust governance.

The role requires an advanced degree in a quantitative field and 5+ years in predictive risk modeling or model governance, with strong stakeholder management and communication skills.

Qualifications

• 5+ years of experience in predictive risk modeling and/or model governance within financial services.
• Advanced degree in a quantitative discipline.
• Strong understanding of MRGR, model risk management, Fair Lending reviews, and governance processes.

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 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 MRIs and action plans, and ensure governance compliance.
• 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.

Skills

Predictive risk modeling

Model governance

MRGR

Fair Lending

Stakeholder management

Communication

Education

MS/PhD in quantitative field

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.