As an Applied AI Machine Learning VP (Fraud Modelling) in the ICB Risk Modelling team, you will play a crucial role in developing and managing machine learning models used to mitigate fraud risk within ICB.
You will work with multiple partner teams—including Strategy, Technology, Product Management, Legal, Compliance, Business Management, and Model Governance — to ensure the models meet the firm's high governance standards and regulatory requirements, and support audit and other business functions around model management.
The primary focus will be on identity verification fraud, where you will lead efforts to adopt and implement advanced solutions, including models from leading vendors for detecting and preventing fraudulent activities.
Job Responsibilities
- Develop and manage proprietary fraud models and perform due diligence for vendor models. Validate model performance on internal data, ensure modelling choices are appropriate for the portfolio, decisioning context, and operational constraints. Work closely with platform engineers to support model deployment.
- Prepare complete governance and Model Risk Management packages, including development documentation, testing evidence, model limitations, and implementation specifications. Support independent validation, respond to findings, and drive remediation to closure.
- Support ongoing monitoring for performance and stability (e.g., drift, calibration, population shifts, fraud-typology changes). Define monitoring metrics, thresholds, Investigate degradations and drive remediation actions.
- Communicate model design, trade-offs, results, and limitations to senior stakeholders and governance committees in clear business terms. Train and support downstream users on correct interpretation and use of model outputs.
- Maintain audit-ready artifacts such as model documentation, monitoring reports, validation responses, and control evidence to support internal audits and regulatory exams. Provide timely, traceable responses to inquiries and ensure documentation stays current post-deployment.
Required Qualifications, Capabilities, and Skills
- Advanced degree (MSc or PhD) in a quantitative or technical discipline.
- Solid understanding of fraud modelling in financial organizations, including the unique challenges and regulatory considerations involved. Credit modelling is acceptable as a transferable background.
- Industry experience in applied data science, machine learning techniques, with a strong understanding of both traditional statistical and machine learning models.
- Proficient in Python, SQL, with hands-on experience in data analysis and writing production-quality code. Extensive experience with machine learning and data analysis toolkits (e.g., NumPy, Scikit-Learn, Pandas).
- Ability to effectively leverage Generative AI tools to enhance productivity, analysis, and problem-solving in day-to-day work.
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Strong written and spoken communication skills to effectively convey technical concepts and results to both technical and business audiences. Team player.
Preferred Qualifications, Capabilities, and Skills
- Experience with identity verification fraud models.
- Experience with ML model explainability.
- Experience with model risk management frameworks.
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.
Skills Required
- Advanced degree such as an MSc or PhD in a quantitative or technical discipline
- Strong understanding of fraud modelling in financial organizations, including regulatory considerations; credit modelling is transferable
- Industry experience in applied data science and machine learning
- Strong understanding of traditional statistical and machine learning models
- Proficiency in Python and SQL, including data analysis and production-quality code
- Extensive experience with NumPy, Scikit-Learn, Pandas, and similar machine learning and data analysis toolkits
- Ability to leverage Generative AI tools for productivity, analysis, and problem-solving
- Strong written and spoken communication skills for technical and business audiences
- Team-oriented collaboration skills
- Experience with identity verification fraud models
- Experience with machine learning model explainability
- Experience with model risk management frameworks
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Health coverage is considered comprehensive, including medical, dental, and vision, alongside wellness and mental health resources. Some locations add onsite health centers and related wellbeing support.
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Retirement Support — Retirement offerings include a 401(k)-type savings plan and related financial benefits, with options such as employee stock purchase participation. Financial planning resources are also highlighted to support long-term savings.
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Parental & Family Support — Paid parental leave of 16 weeks for birth or adoption is available for all parents. Child care and back-up child care resources further reinforce family support.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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