Collections Strategy & Analytics Senior Associate

JPMorgan Chase & Co.; Wilmington (DE); Hybrid; USD 110,000 - 160,000; Full time

Job summary

JPMorgan Chase & Co. seeks a Collections Strategy and Analytics Senior Associate to drive data-driven decisions impacting collections and recovery performance. You will partner across Ops, Risk, Finance, Legal, Compliance and Tech to apply statistics, ML, and data governance for actionable insights.

Hybrid role in a fast-paced environment requiring strong programming, modeling, and communication skills to optimize ROI and manage expenses while advancing strategic initiatives.

Qualifications

• Bachelor’s degree in a quantitative field with 4+ years of applied analytical experience, or Master’s/MBA with 2+ years of analytical experience.
• Proven experience with programming languages (SQL, SAS, R, Python, Alteryx), relational databases (Oracle/Teradata), and visualization tools (Tableau).
• Intermediate to advanced knowledge in statistics, finance, analytics, predictive modeling and machine learning techniques.

Responsibilities

• Demonstrate robust data programming and analytical skills to collect, organize, analyze, and disseminate information with high accuracy.
• Monitor internal and external trends to support strategic direction with insights.
• Leverage AI technology and design thinking to improve operational efficiency and resilience.
• Coordinate across functions to support design, testing and implementation of strategies to optimize ROI and mitigate risks.
• Interpret and present data using narratives and visualizations to drive action.
• Become a subject matter expert and trusted partner to influence business direction.

Skills

Statistics

Analytics

Predictive modeling

Machine learning

SQL

SAS

R

Python

Alteryx

Tableau

Data governance

Strategy development

Communication

Education

Bachelor’s degree in Statistics, Economics, Econometrics, Operations Research, Mathematics, Finance or equivalent

Master’s/MBA degree

Tools

Oracle

Teradata

Job description

The Consumer and Community Banking division at Chase provides a wide range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans, and payment processing. Within this division, the Analytics and Business Strategy Execution team leverages data to create competitive advantages and generate critical analytical insights to support strategic initiatives for Collections and Recovery Operations.

As a Collections Strategy and Analytics Senior Associate in the Analytics and Business Strategy Executionteam, you will play a key role supporting data-driven decisions with direct impact to the financial bottom line collaborating with partners and stakeholders to drive operational excellence. You will leverage data governance, predictive analytics, strategy development, data science and machine learning disciplines to understand and predict customer and industry behavior, set quantifiable goals, identify opportunities and implement strategies through experimentation to enhance collections and recovery performance and effectively manage operational expenses for the organization.

Job Responsibilities

• Demonstrate robust data programming and analytical skills to efficiently collect, organize, analyze, and disseminate significant amounts of information with a high degree of attention to detail and accuracy.
• Monitor internal and external trends (customer/industry) and understand business drivers, underlying data and core operational processes to support strategic direction with independent and thoughtful insights.
• Leverage innovation, AI technology and design thinking to continually improve operational efficiency and resilience.
• Address issues with forward-looking solutions and collaborate across functions (Ops, Risk, Finance, Legal, Compliance, and Technology) to support design, testing and implementation of strategies to optimize return on investment and mitigate risks, amidst continuous change in an agile and demanding work environment.
• Interpret and present data clearly using narratives, visualizations, and context to convey insights and drive action.
• Become a subject matter expert and trusted partner to influence business direction and support operational success.

Required Qualifications, Capabilities, and Skills

• Intermediate to advanced knowledge in statistics, finance, analytics, predictive modeling and machine learning techniques.
• Bachelor’s degree in Statistics, Economics, Econometrics, Operations Research, Mathematics, Finance or equivalent quantitative field with 4+ years of applied analytical experience, and/or Master’s/MBA degree with 2+ years of applied analytical experience in complex and large data environments.
• Proven experience with programming languages (SQL, SAS, R, Python, Alteryx), relational databases (Oracle/Teradata), and visualization tools (Tableau) to effectively collect, analyze, uncover and communicate meaningful patterns and insights.
• Utilize logical reasoning and data analysis to solve problems and simplify complex techniques into actionable information using a variety of visual elements to inform and facilitate decision-making.
• Focus on results, continuous learning and process improvements to accelerate business objectives.
• Coordinate efforts and leverage diverse perspectives working effectively across functions to achieve common goals.
• Develop knowledge of products and services and understand roles within the business to support maximizing results.
• Proactively manage performance and work delivery expectations, set high-standards for self, act with sense of urgency and follow structured approach to manage multiple priorities and deliverables with high quality and error-free.
• Build and maintain positive relationships with clients and stakeholders, addressing their needs and interests effectively.
• Effective and clear communicator of risk-related issues, strategies and results with a variety of business partners.
• Willingly learn from experience, view challenges as opportunities, motivated by business and technical challenges and demonstrate openness to feedback for continuous improvement.

Preferred Qualifications, Capabilities, and Skills

• PhD degree in a quantitative field.
• Previous applied risk and/or analytical experience in a financial services related industry.
• Applied Collections and Recovery knowledge/experience in Auto, Card, Retail and/or Business Banking product.
• Positive culture carrier, curious and creative; collaborative, team-oriented, and client-focused.

Schedule

Monday through Friday, 8:00 am to 5:00 pm.

This is a Hybrid position, requiring the incumbent to commute/work on-site 3 days a week and work from home 2 days a week. Expected to become full in-office presence in Q4 2027

This role is not eligible for visa sponsorship now or in the future. Sponsorship includes, but is not limited to, support for I-983 training plans, F-1/OPT or CPT, H-1B, and any other employment authorization or immigration-related action requiring JPMorganChase sponsorship or intervention