Risk Management & Compliance - Data Scientist Lead, Executive Director

Location: Jersey City, NJ, United States

Job Family: Predictive Science

About the Role

At JP Morgan Chase, we are at the forefront of leveraging artificial intelligence to transform risk management and compliance in the financial services industry. As the Risk Management & Compliance - Data Scientist Lead, Executive Director, you will spearhead AI innovation within our Predictive Science team, driving the adoption of Generative AI (GenAI) solutions to address complex challenges in regulatory compliance, fraud detection, and risk forecasting. Based in our state-of-the-art Jersey City, NJ office, you will shape the strategic direction for AI initiatives that safeguard our global operations while enabling sustainable growth. This executive leadership role offers the opportunity to influence firm-wide policies and collaborate with top-tier talent in one of the world's leading financial institutions. In this pivotal position, you will lead a high-performing team of data scientists and engineers, overseeing the end-to-end lifecycle of AI models from ideation to production deployment. Key focus areas include developing GenAI-powered tools for scenario simulation in stress testing, automating compliance reporting under frameworks like Dodd-Frank and Basel III, and enhancing predictive analytics for anti-money laundering (AML) efforts. You will partner closely with risk officers, compliance experts, and technology leaders to ensure solutions are not only innovative but also robust, scalable, and fully compliant with JP Morgan's stringent governance standards. Your expertise will be crucial in mitigating emerging risks such as AI bias and data privacy concerns in a highly regulated environment. We seek a visionary leader with deep technical acumen and a passion for applying AI to real-world financial problems. Success in this role will be measured by your ability to deliver measurable impact, such as reducing compliance processing times by leveraging GenAI or improving risk prediction accuracy through advanced ML techniques. Join JP Morgan Chase to pioneer the future of ethical AI in finance, contributing to our mission of powering the progress that matters most to our clients and communities worldwide.

Key Responsibilities

• Lead the development and implementation of Generative AI solutions to enhance risk management and compliance processes at JP Morgan Chase
• Shape the strategic vision for AI innovation in predictive science, aligning with firm-wide goals in financial risk and regulatory adherence
• Collaborate with cross-functional teams including risk analysts, compliance officers, and data engineers to identify AI opportunities in areas like fraud detection and stress testing
• Oversee the design, prototyping, and deployment of machine learning models using GenAI for scenario analysis and predictive modeling
• Ensure all AI initiatives comply with internal policies, external regulations, and ethical standards, mitigating risks such as model bias and data privacy issues
• Mentor and guide a team of data scientists, fostering innovation while maintaining high standards of accuracy and reliability in financial applications
• Present AI strategy and outcomes to senior leadership, including the Risk Management Committee, to drive executive buy-in and resource allocation
• Monitor emerging AI trends and technologies, integrating them into JP Morgan's risk and compliance frameworks to maintain competitive edge
• Conduct impact assessments and performance evaluations of deployed models, iterating based on real-world financial data and feedback
• Partner with technology and operations teams to scale AI solutions across global markets, ensuring robustness in high-stakes trading and lending environments

Required Qualifications

• Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field; advanced degree (Master's or PhD) strongly preferred
• 10+ years of experience in data science, machine learning, or AI roles within the financial services industry, with at least 5 years in risk management or compliance
• Proven track record of leading cross-functional teams in developing and deploying AI/ML solutions for regulatory compliance or risk assessment
• Deep expertise in Generative AI (GenAI) technologies, including large language models (LLMs) and their application to financial risk scenarios
• Strong understanding of financial regulations such as Basel III, Dodd-Frank, and anti-money laundering (AML) requirements
• Experience with big data technologies and cloud platforms (e.g., AWS, Azure) in a secure, regulated environment
• Excellent communication skills with the ability to present complex technical concepts to senior executives and stakeholders

Preferred Qualifications

• PhD in a quantitative discipline with publications in AI/ML applied to finance
• Prior experience at a major financial institution like JP Morgan Chase, leading GenAI initiatives in risk or compliance
• Certification in data science (e.g., AWS Certified Machine Learning) or financial risk management (e.g., FRM)
• Hands-on experience with ethical AI frameworks and bias mitigation in compliance models
• Familiarity with JP Morgan's internal tools and data governance standards

Required Skills

• Proficiency in Python, R, or Julia for data analysis and machine learning model development
• Expertise in machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
• Advanced knowledge of Generative AI techniques, including transformers, GANs, and LLMs like GPT variants
• Experience with big data tools like Hadoop, Spark, and SQL/NoSQL databases
• Strong statistical modeling skills, including time-series analysis and Bayesian methods for risk forecasting
• Familiarity with cloud computing platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes)
• Understanding of financial data structures, such as market data feeds and transaction logs
• Risk modeling expertise in areas like credit risk, market risk, and operational risk
• Compliance knowledge, including KYC, AML, and ESG reporting requirements
• Leadership and project management skills for guiding technical teams
• Analytical problem-solving with a focus on ethical AI deployment
• Communication and stakeholder management for executive-level interactions
• Agile methodologies and DevOps practices for rapid iteration in regulated environments
• Data visualization tools like Tableau or Power BI for presenting insights
• Version control and collaboration tools such as Git and Jira

Benefits

• Competitive base salary and performance-based annual bonus, with total compensation reflecting leadership role in a top-tier financial institution
• Comprehensive health, dental, and vision insurance plans, including coverage for family members
• Generous 401(k) retirement savings plan with company matching contributions up to 6% of eligible pay
• Paid time off including vacation, sick days, and parental leave, plus firm-wide holidays
• Professional development opportunities, such as tuition reimbursement for advanced certifications and access to JP Morgan's internal training programs
• Wellness programs including gym memberships, mental health support, and employee assistance services
• Flexible work arrangements, including hybrid options in Jersey City, NJ, with modern office facilities
• Stock purchase plan allowing employees to buy JP Morgan Chase shares at a discount

JP Morgan Chase is an equal opportunity employer.