Risk Management - Data Scientist, Vice President

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 revolutionize risk management and compliance in the financial services industry. As a Risk Management - Data Scientist, Vice President, you will join a dynamic team in our Jersey City, NJ office, focusing on the Predictive Science category. Your role will involve exploring, piloting, and implementing transformative AI solutions that enhance our ability to predict and mitigate risks across credit, market, operational, and regulatory domains. In this high-impact position, you will work with vast datasets from our global banking operations to build models that drive informed decision-making, ensuring the firm remains resilient in a complex regulatory landscape while innovating to stay ahead of emerging threats like cyber risks and financial crimes. Key to success in this role is your expertise in applying machine learning techniques to real-world financial challenges, such as developing algorithms for fraud detection, stress testing scenarios, or automated compliance reporting. You will collaborate closely with risk analysts, compliance experts, and technology teams to translate business needs into robust AI frameworks, utilizing JP Morgan's state-of-the-art infrastructure including cloud-based analytics platforms. Responsibilities include not only model development and deployment but also rigorous validation to meet stringent internal governance and external regulatory standards, such as those set by the Federal Reserve and SEC. This position offers the opportunity to influence enterprise-wide strategies, contributing to initiatives that protect our clients' assets and uphold the integrity of the global financial system. We seek a proactive leader passionate about AI's potential in finance, with a strong foundation in quantitative methods and a commitment to ethical AI practices. At JP Morgan Chase, you will thrive in an inclusive environment that values innovation, diversity, and professional growth, supported by world-class resources and mentorship. Join us to shape the future of risk management through cutting-edge predictive science, making a tangible difference in one of the world's leading financial institutions.

Key Responsibilities

• Develop and deploy advanced AI/ML models to enhance risk assessment, predictive analytics, and compliance monitoring across JP Morgan Chase's global operations
• Explore and pilot innovative AI solutions, such as natural language processing for regulatory text analysis or anomaly detection for fraud prevention
• Collaborate with cross-functional teams including risk managers, compliance officers, and data engineers to integrate AI into existing risk management frameworks
• Analyze large-scale financial datasets to identify patterns, risks, and opportunities for model improvement in areas like credit risk, market risk, and operational risk
• Implement and optimize machine learning pipelines using tools like TensorFlow, PyTorch, or scikit-learn, ensuring scalability and performance in a high-stakes banking environment
• Conduct model validation, testing, and governance in line with JP Morgan's internal standards and regulatory requirements
• Stay abreast of emerging AI technologies and financial regulations to recommend transformative solutions that drive efficiency and reduce risk exposure
• Present findings and AI-driven insights to senior stakeholders, influencing strategic decisions in Risk Management & Compliance
• Mentor junior data scientists and contribute to the firm's AI Center of Excellence initiatives

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
• 5+ years of experience in data science, machine learning, or AI roles within the financial services industry
• Proven track record of developing and deploying AI/ML models for risk management, fraud detection, or compliance applications
• Strong proficiency in Python, R, or similar programming languages for data analysis and model building
• Experience with big data technologies such as Hadoop, Spark, or cloud platforms like AWS, Azure, or Google Cloud
• Deep understanding of risk management principles, regulatory requirements (e.g., Basel III, Dodd-Frank), and compliance frameworks in banking
• Ability to handle sensitive financial data with strict adherence to data privacy and security standards

Preferred Qualifications

• PhD in a quantitative discipline with a focus on AI/ML applications in finance
• Experience working at a major financial institution like JP Morgan Chase or similar, with exposure to enterprise-scale risk systems
• Certifications in AI/ML (e.g., AWS Certified Machine Learning, Google Professional Data Engineer) or risk management (e.g., FRM, PRM)
• Prior involvement in AI pilots or transformative projects in compliance or anti-money laundering (AML) domains
• Familiarity with generative AI tools and their application in regulatory reporting or scenario analysis

Required Skills

• Machine Learning and AI model development (supervised/unsupervised learning, deep learning)
• Python programming with libraries like Pandas, NumPy, Scikit-learn, TensorFlow
• Big Data processing using Spark, Hadoop, or Kafka
• Statistical analysis and predictive modeling techniques
• SQL and database querying for financial data extraction
• Natural Language Processing (NLP) for compliance document analysis
• Risk modeling and simulation (e.g., Monte Carlo methods, VaR calculations)
• Cloud computing platforms (AWS, Azure) for scalable AI deployments
• Data visualization tools like Tableau or Power BI
• Strong problem-solving and analytical thinking
• Excellent communication skills for stakeholder presentations
• Project management and agile methodologies
• Knowledge of financial regulations and ethical AI practices
• Attention to detail in model validation and auditing
• Team collaboration and leadership in cross-functional environments

Benefits

• Competitive base salary and performance-based annual bonuses aligned with JP Morgan Chase's compensation philosophy
• Comprehensive health, dental, and vision insurance plans with employer contributions
• 401(k) retirement savings plan with generous company matching up to 6% of eligible pay
• Paid time off including vacation, sick days, and parental leave policies
• Professional development opportunities through JP Morgan's internal training programs and tuition reimbursement
• Employee stock purchase plan and access to financial wellness resources
• On-site fitness centers, wellness programs, and mental health support services
• Hybrid work arrangements with flexibility for remote work from approved locations

JP Morgan Chase is an equal opportunity employer.