Risk Management – Data Scientist / Applied AI ML Lead - Vice President

Location: LONDON, LONDON, United Kingdom

Job Family: Predictive Science

About the Role

At JP Morgan Chase, we are at the forefront of leveraging artificial intelligence to revolutionize risk management and compliance in the financial services industry. As a Risk Management – Data Scientist / Applied AI ML Lead - Vice President in our London office, you will spearhead transformative AI solutions that drive predictive insights and mitigate risks across our global operations. This role within the Predictive Science category offers the opportunity to explore cutting-edge technologies like machine learning and generative AI, piloting innovative models that enhance credit, market, and operational risk assessments while ensuring adherence to stringent regulations such as Basel III and GDPR. You will play a pivotal role in a dynamic team dedicated to turning data into actionable intelligence, contributing to the firm's mission of delivering superior client outcomes through responsible AI innovation. In this leadership position, you will guide the end-to-end lifecycle of AI/ML projects, from initial data exploration and model prototyping to scalable deployment and ongoing monitoring. Collaborating with risk experts, compliance teams, and technology partners, you will develop advanced predictive models to forecast financial risks, detect anomalies, and automate compliance workflows. Your work will directly impact JP Morgan Chase's ability to navigate complex market dynamics, leveraging vast datasets from trading, lending, and investment banking to build resilient systems. This role demands a blend of technical prowess and strategic vision, ensuring all AI applications are transparent, ethical, and aligned with the firm's rigorous governance standards. Joining JP Morgan Chase means becoming part of a world-class institution committed to fostering innovation and professional growth. You will have access to state-of-the-art resources, including high-performance computing clusters and collaborative AI labs, while benefiting from a supportive culture that values diversity and inclusion. This Vice President-level opportunity in London is ideal for a seasoned data scientist passionate about applying AI to real-world financial challenges, offering not only intellectual stimulation but also the chance to shape the future of risk management in one of the world's leading banks.

Key Responsibilities

• Lead the exploration, piloting, and implementation of AI/ML solutions to enhance risk management and compliance processes at JP Morgan Chase
• Develop and deploy predictive models for credit risk, market risk, operational risk, and fraud detection using advanced machine learning techniques
• Collaborate with cross-functional teams including risk analysts, compliance officers, and data engineers to integrate AI solutions into production environments
• Conduct data exploration, feature engineering, and model validation to ensure robust, explainable AI systems compliant with regulatory standards
• Mentor junior data scientists and applied AI specialists, fostering a culture of innovation in predictive science within the firm
• Monitor and optimize deployed models for performance, addressing model drift and ensuring alignment with evolving financial regulations
• Partner with technology teams to leverage JP Morgan Chase's infrastructure for scalable AI deployments
• Contribute to thought leadership by presenting AI initiatives to senior stakeholders and external forums
• Ensure ethical AI practices, including bias detection and mitigation, in all risk-related applications
• Stay abreast of emerging AI trends and regulatory changes to drive transformative solutions in the financial services sector

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field
• Minimum 7+ years of experience in data science, machine learning, or AI roles within financial services or a related industry
• Proven track record of leading AI/ML projects from exploration to implementation in risk management or compliance contexts
• Strong expertise in Python, R, or similar programming languages for data analysis and model development
• Experience with big data technologies such as Hadoop, Spark, or cloud platforms like AWS, Azure, or GCP
• Deep knowledge of risk management principles, regulatory requirements (e.g., Basel III, GDPR), and financial compliance frameworks
• Ability to obtain necessary security clearances and comply with JP Morgan Chase's data handling and ethical AI standards

Preferred Qualifications

• PhD in a quantitative discipline with a focus on AI/ML applications in finance
• Prior experience at a major financial institution, ideally in risk analytics or predictive modeling
• Certifications in AI/ML (e.g., AWS Certified Machine Learning, Google Professional Data Engineer) or risk management (e.g., FRM, PRM)
• Hands-on experience with generative AI, NLP, or computer vision techniques applied to financial datasets
• Publication record in AI/ML conferences or journals related to financial risk

Required Skills

• Proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
• Expertise in data processing and visualization tools (e.g., Pandas, NumPy, Tableau, Matplotlib)
• Strong statistical modeling and hypothesis testing skills
• Knowledge of SQL and NoSQL databases for large-scale data querying
• Experience with cloud computing and MLOps pipelines (e.g., Kubeflow, MLflow)
• Understanding of financial risk metrics (e.g., VaR, Expected Shortfall, PD/LGD models)
• Leadership and project management abilities for cross-team initiatives
• Excellent communication skills for presenting complex AI concepts to non-technical stakeholders
• Problem-solving mindset with attention to detail in high-stakes environments
• Familiarity with ethical AI principles and regulatory compliance in finance
• Agile methodologies and version control (e.g., Git)
• Time management and prioritization in fast-paced settings
• Analytical thinking for interpreting financial data patterns
• Collaboration skills for working in global, diverse teams

Benefits

• Competitive base salary and performance-based annual bonus
• Comprehensive health, dental, and vision insurance coverage
• Generous 401(k) matching and retirement savings plans
• Paid time off including vacation, sick leave, and parental leave
• Professional development opportunities through JP Morgan Chase's internal training programs and tuition reimbursement
• Employee stock purchase plan and financial wellness resources
• Wellness programs including gym memberships, mental health support, and onsite fitness facilities in London
• Flexible hybrid work arrangements and relocation assistance for international roles

JP Morgan Chase is an equal opportunity employer.