Quantitative Analytics Associate Senior - Collections and Recovery

Location: Wilmington, DE, United States

Job Family: Quant Analytics

About the Role

At JPMorgan Chase, we are at the forefront of financial innovation, and our Quantitative Analytics team plays a pivotal role in shaping the future of collections and recovery strategies. As a Quantitative Analytics Associate Senior in Collections and Recovery, you will join a dynamic group in Wilmington, DE, where you'll leverage advanced data analytics to solve complex problems in debt management. This role involves developing sophisticated models to enhance recovery processes, minimize losses, and ensure compliance with industry regulations, directly influencing business outcomes in our Consumer Banking division. You'll thrive in an environment that values data-driven decision-making and collaboration across global teams. Your day-to-day will focus on analyzing vast datasets from credit portfolios to predict customer repayment behaviors and optimize collection tactics. Using tools like Python, SQL, and machine learning frameworks, you'll build predictive models that inform targeted recovery efforts, reducing operational costs while improving customer experiences. You'll partner with risk, operations, and technology experts to test scenarios, validate model performance, and integrate insights into actionable strategies. This position offers the opportunity to innovate within JPMorgan Chase's robust analytics ecosystem, contributing to high-impact projects that drive efficiency in our $2 trillion asset management powerhouse. We seek passionate professionals who are eager to influence the direction of financial services through quantitative excellence. In this senior associate role, you'll present findings to leadership, mentor junior analysts, and stay ahead of evolving trends in fintech and regulatory landscapes. Joining JPMorgan Chase means becoming part of a world-class institution committed to integrity, diversity, and sustainable growth, with ample opportunities for career advancement in a supportive, inclusive culture.

Key Responsibilities

• Develop and implement quantitative models to optimize collections strategies and improve recovery rates for delinquent accounts
• Analyze large-scale data from credit portfolios to identify trends and predict customer behavior in recovery processes
• Collaborate with cross-functional teams including risk management, operations, and technology to enhance decision-making
• Perform statistical analysis and scenario testing to assess the impact of recovery policies on business outcomes
• Build and maintain dashboards and reporting tools to monitor key performance metrics in collections and recovery
• Support regulatory compliance by ensuring models adhere to fair lending and consumer protection standards
• Innovate with advanced analytics techniques, such as machine learning, to drive efficiency in debt recovery operations
• Conduct ad-hoc analyses to influence strategic decisions in portfolio management and loss mitigation
• Document methodologies and present findings to senior stakeholders to guide business direction

Required Qualifications

• Bachelor's degree in quantitative field such as Mathematics, Statistics, Economics, Computer Science, or related discipline
• Minimum of 3 years of experience in quantitative analytics, data modeling, or risk management within financial services
• Proficiency in statistical analysis and predictive modeling techniques
• Experience with collections, recovery, or credit risk processes in banking
• Strong programming skills in Python, R, or SQL for data manipulation and analysis
• Ability to work with large datasets and derive actionable insights
• Knowledge of regulatory requirements in consumer finance and debt recovery

Preferred Qualifications

• Advanced degree (Master's or PhD) in a quantitative discipline
• Experience with machine learning algorithms applied to financial datasets
• Familiarity with JPMorgan Chase's internal tools and platforms for analytics
• Certification in data science or financial risk management (e.g., FRM)
• Prior work in a collections and recovery environment at a major financial institution

Required Skills

• Quantitative modeling and statistical analysis
• Programming in Python, R, or SAS
• SQL for database querying and data extraction
• Machine learning and predictive analytics
• Data visualization tools like Tableau or Power BI
• Financial risk assessment and credit scoring
• Problem-solving and critical thinking
• Communication and stakeholder presentation skills
• Attention to detail in regulatory compliance
• Team collaboration in fast-paced environments
• Time management and project prioritization
• Knowledge of big data technologies (e.g., Hadoop, Spark)
• Excel advanced functions and automation
• Understanding of consumer lending products
• Analytical mindset for complex problem-solving

Benefits

• Comprehensive health, dental, and vision insurance plans
• 401(k) retirement savings plan with company matching contributions
• Generous paid time off, including vacation, sick days, and parental leave
• Professional development programs and tuition reimbursement for advanced education
• Employee stock purchase plan and performance-based bonuses
• Wellness programs including gym memberships and mental health support
• Flexible work arrangements and hybrid options in Wilmington, DE
• Access to JPMorgan Chase's global mobility and career advancement opportunities

JP Morgan Chase is an equal opportunity employer.