VP, Applied AI Fraud Modeling & Governance

JP Morgan Chase; Greater London; On-site; GBP 140,000 - 190,000; Full time

Job summary

JP Morgan Chase is seeking an Applied AI Machine Learning VP (Fraud Modelling) to lead the development and governance of risk models mitigating fraud across ICB. You will collaborate with Strategy, Technology, Product, Legal, Compliance, and Model Governance to ensure regulatory compliance and audit readiness.

The role focuses on identity verification fraud, evaluating and implementing advanced vendor and proprietary models, and enabling scalable deployment with platform teams.

Qualifications

• Advanced degree (MSc or PhD) in a quantitative or technical discipline.
• Fraud modelling in financial institutions; regulatory considerations; credit modelling ok as transfer.
• Industry experience in applied data science and ML with traditional and modern models.
• Proficient in Python/SQL with production-quality data analysis; familiar with NumPy, Scikit-Learn, Pandas.
• Ability to leverage Generative AI tools to boost productivity, analysis, and problem-solving.
• Strong communication skills to convey technical concepts to technical and business audiences; team player.

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 governance and Model Risk Management packages, testing evidence, model limitations, and implementation specifications. Support independent validation and remediation.
• Support ongoing monitoring for performance and stability (drift, calibration, population shifts, fraud typology changes). Define monitoring metrics and investigate degradations.
• Communicate model design, trade-offs, results, and limitations to senior stakeholders; train downstream users on interpretation of outputs.
• Maintain audit-ready artifacts such as model documentation, monitoring reports, validation responses, and control evidence for audits and regulatory exams.

Skills

Advanced degree

Fraud modelling

Data science

Python

SQL

Generative AI

Communication skills

Team player

Education

MSc or PhD

Tools

NumPy

Scikit-Learn

Pandas

Job description

JP Morgan Chase is seeking an Applied AI Machine Learning VP (Fraud Modelling) to lead the development and governance of risk models mitigating fraud across ICB. You will collaborate with Strategy, Technology, Product, Legal, Compliance, and Model Governance to ensure regulatory compliance and audit readiness.

The role focuses on identity verification fraud, evaluating and implementing advanced vendor and proprietary models, and enabling scalable deployment with platform teams.