Compliance - Quant Modeling Lead - Vice President

Location: Wilmington, DE, United States

Job Family: Predictive Science

About the Role

At JPMorgan Chase, we are at the forefront of financial services innovation, and our Risk Management and Compliance organization plays a critical role in upholding the highest standards of integrity and regulatory adherence. As a Compliance - Quant Modeling Lead - Vice President in the Predictive Science category, you will join our dynamic team in Wilmington, DE, focusing on fair lending quantitative modeling. This role offers an exciting opportunity to leverage advanced analytics to mitigate risks, ensure equitable lending practices, and support our commitment to serving diverse communities responsibly. You will lead efforts to develop sophisticated models that detect and prevent biases in credit decisions, aligning with JPMorgan's core values of trust and excellence in a highly regulated environment. In this leadership position, you will oversee the creation and validation of predictive models using statistical and machine learning techniques to analyze lending data for compliance with laws like the Equal Credit Opportunity Act (ECOA) and Home Mortgage Disclosure Act (HMDA). Collaborating closely with cross-functional teams across Risk, Compliance, and Business lines, you will integrate these models into JPMorgan's robust risk management framework, ensuring they enhance decision-making while minimizing fair lending exposures. Your work will involve monitoring model performance, conducting stress tests, and providing actionable insights to senior executives and regulators, contributing directly to the firm's reputation as a leader in ethical banking. We seek a strategic thinker with deep expertise in quantitative finance who thrives in a fast-paced, collaborative setting. This role not only demands technical prowess but also the ability to mentor talent and drive innovation in compliance analytics. Joining JPMorgan Chase means becoming part of a global powerhouse where your contributions impact millions, supported by unparalleled resources for professional growth and work-life balance.

Key Responsibilities

• Lead the development, validation, and implementation of quantitative models to assess fair lending risks and ensure compliance with U.S. regulations
• Oversee a team of quants and analysts in building predictive models for credit risk, pricing, and underwriting processes
• Collaborate with Risk Management, Compliance, and Business teams at JP Morgan Chase to integrate models into operational workflows
• Conduct model performance monitoring, stress testing, and periodic reviews to maintain regulatory adherence
• Provide expert guidance on quantitative aspects of fair lending policies and procedures
• Analyze large datasets to identify potential biases in lending practices and recommend mitigation strategies
• Prepare and present model documentation, reports, and findings to senior management and regulators
• Stay abreast of evolving fair lending laws and incorporate them into modeling frameworks
• Mentor junior team members and foster a culture of innovation in quantitative compliance
• Support ad-hoc quantitative analyses for internal audits or regulatory inquiries

Required Qualifications

• Bachelor's degree in quantitative field such as Mathematics, Statistics, Economics, or Computer Science; advanced degree (Master's or PhD) preferred
• Minimum 7-10 years of experience in quantitative modeling, risk management, or compliance within the financial services industry
• Proven expertise in developing and validating quantitative models for fair lending, regulatory compliance, or risk assessment
• Strong understanding of U.S. fair lending regulations including ECOA, HMDA, and FCRA
• Experience with statistical software and programming languages used in financial modeling
• Demonstrated leadership in managing teams of quantitative analysts or modelers
• Ability to communicate complex quantitative concepts to non-technical stakeholders in a regulated environment

Preferred Qualifications

• Experience working at a major financial institution like JP Morgan Chase or similar
• Familiarity with JPMorgan's internal risk and compliance frameworks
• Advanced certifications such as FRM, CFA, or expertise in machine learning for compliance
• Prior involvement in regulatory audits or examinations related to fair lending practices
• Knowledge of emerging technologies like AI and big data analytics in financial compliance

Required Skills

• Quantitative modeling and statistical analysis
• Proficiency in Python, R, or SAS for data analysis
• Machine learning techniques for predictive modeling
• Fair lending regulation knowledge (ECOA, HMDA)
• Data visualization tools like Tableau or Power BI
• SQL for querying large financial datasets
• Risk assessment and model validation methodologies
• Leadership and team management
• Communication and presentation skills
• Problem-solving in complex regulatory environments
• Big data handling with Hadoop or Spark
• Econometric modeling for financial applications
• Attention to detail in compliance reporting
• Adaptability to evolving financial technologies
• Stakeholder collaboration in a matrix organization

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 JPMorgan's internal training programs
• Employee stock purchase plan and financial wellness resources
• Flexible work arrangements and hybrid options in Wilmington, DE
• Access to on-site fitness centers, childcare services, and wellness programs

JP Morgan Chase is an equal opportunity employer.