Compliance - Data Scientist - Vice President

Location: Jersey City, NJ, United States

Job Family: CCOR LOB/CF/Country Coverage

About the Role

At JP Morgan Chase, we are at the forefront of financial innovation, leveraging cutting-edge AI and machine learning to drive compliance excellence across our global operations. As a Compliance Data Scientist Vice President in the CCOR (Corporate & Investment Bank Compliance, Conduct & Operational Risk) Line of Business, you will play a pivotal role in transforming how we detect, mitigate, and report on regulatory risks. Based in our state-of-the-art Jersey City, NJ office, you will work within the Country Coverage team, focusing on AI/ML solutions that ensure adherence to critical regulations like AML, sanctions screening, and fair lending practices. This position offers the opportunity to influence firm-wide strategies by building robust, scalable models that enhance our ability to safeguard clients and the financial system. Your core responsibilities will include designing and deploying advanced AI models to analyze vast datasets from transactions, customer interactions, and market activities, identifying potential compliance issues before they escalate. You will collaborate closely with compliance experts, data engineers, and technology teams to integrate modern engineering practices, such as containerization and CI/CD pipelines, into our workflows. By applying techniques like supervised learning for fraud detection and unsupervised learning for anomaly identification, you will contribute to proactive risk management, ensuring JP Morgan Chase remains a leader in ethical AI use within the financial services industry. This role demands a blend of technical prowess and domain expertise to navigate the complexities of regulated data environments. We seek a passionate innovator who thrives in a dynamic, collaborative setting and is committed to upholding the highest standards of integrity. In this Vice President-level position, you will mentor emerging talent, lead proof-of-concept projects, and advocate for AI-driven compliance enhancements that align with our firm's commitment to responsible banking. Join JP Morgan Chase to advance your career while making a tangible impact on global financial stability, supported by world-class resources and a culture that values diversity, inclusion, and continuous learning.

Key Responsibilities

• Develop and implement AI/ML models to enhance compliance monitoring, anomaly detection, and regulatory reporting across JP Morgan Chase's global operations
• Collaborate with cross-functional teams including compliance officers, data engineers, and business stakeholders to identify data-driven solutions for risk mitigation
• Design scalable data architectures using modern tools to process large-scale financial datasets while ensuring compliance with firm-wide governance standards
• Conduct advanced analytics on transaction data to detect patterns of financial crime, fraud, or non-compliance
• Lead innovation initiatives by integrating generative AI and predictive modeling into compliance workflows
• Perform model validation, testing, and documentation to meet internal audit and regulatory requirements
• Mentor junior data scientists and contribute to the firm's AI/ML best practices in a highly regulated environment
• Monitor and optimize ML models for performance, accuracy, and explainability in support of CCOR (Corporate & Investment Bank Compliance, Conduct & Operational Risk) objectives
• Stay abreast of evolving regulatory landscapes and emerging AI technologies to proactively address compliance challenges

Required Qualifications

• Bachelor's degree in Computer Science, Data Science, Statistics, or a related quantitative field; advanced degree 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 compliance, risk management, or regulatory reporting
• Strong understanding of financial regulations such as AML, KYC, and Dodd-Frank, with experience in compliance data analytics
• Experience with big data technologies and cloud platforms (e.g., AWS, Azure) in a regulated environment
• Ability to handle sensitive data with strict adherence to data privacy laws like GDPR and CCPA

Preferred Qualifications

• Master's or PhD in a quantitative discipline with focus on AI/ML applications in finance
• Experience working at a major financial institution like JP Morgan Chase on compliance transformation projects
• Certifications in data science (e.g., AWS Certified Machine Learning) or compliance (e.g., CRISC, CISA)
• Prior involvement in AI ethics and bias mitigation for regulatory compliance models

Required Skills

• Proficiency in Python, R, or Scala for data analysis and ML model development
• Expertise in machine learning frameworks like TensorFlow, PyTorch, or scikit-learn
• Strong knowledge of SQL and big data tools such as Hadoop, Spark, or Kafka
• Experience with natural language processing (NLP) for regulatory text analysis
• Familiarity with cloud computing services (AWS SageMaker, Google Cloud AI) for scalable AI deployments
• Analytical mindset with ability to interpret complex financial datasets
• Excellent communication skills for presenting technical findings to non-technical stakeholders
• Problem-solving abilities in high-pressure, deadline-driven environments
• Understanding of statistical modeling, time-series analysis, and anomaly detection techniques
• Knowledge of data visualization tools like Tableau or Power BI for compliance reporting
• Agile methodologies and DevOps practices for collaborative engineering
• Attention to detail and ethical judgment in handling sensitive compliance data
• Team collaboration and leadership in cross-functional projects
• Adaptability to regulatory changes and emerging AI trends in finance

Benefits

• Competitive base salary and performance-based annual bonuses
• Comprehensive health, dental, and vision insurance plans
• 401(k) retirement savings plan with generous company matching
• Paid time off including vacation, sick days, and parental leave
• Professional development opportunities through JP Morgan's internal training programs and tuition reimbursement
• Wellness programs including gym memberships, mental health support, and employee assistance services
• Flexible work arrangements with hybrid options in Jersey City, NJ
• Stock purchase plan and employee discounts on financial products

JP Morgan Chase is an equal opportunity employer.