Applied AI ML Sr Associate

JPMorganChase; Mumbai; On-site; INR 3,500,000 - 7,500,000; Full time

Job summary

JPMorganChase in Mumbai seeks a Senior professional to lead governance of vendor fraud models in CCB Risk Management. You will own end-to-end model lifecycle, from onboarding to remediation, and partner with product, risk strategy, compliance, legal and MRGR teams to ensure robust governance.

You will monitor model performance, manage MRINs, and present actionable insights to senior leadership, shaping risk strategy and contingency planning across the organization.

Qualifications

• Advanced degree in a quantitative discipline (MS/PhD).
• 5+ years in predictive risk modeling or model governance in financial services.
• Strong understanding of MRGR, model risk management, Fair Lending reviews, and governance processes.
• Experience in fraud risk modeling and stakeholder management across functions.
• Excellent communication skills with ability to influence senior stakeholders.

Responsibilities

• Manage end-to-end lifecycle of vendor fraud models: 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; provide actionable insights to senior leadership.
• Lead discussions around model selection, usage rationale, contingency planning, and strategic risk management.

Skills

Vendor risk modeling

MRGR knowledge

Model governance

Stakeholder management

Communication skills

Education

MS/PhD in quantitative discipline

Job description

Job Description

This role sits within

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.

About Us

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

About The Team

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.

The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.