Quant Analytics Associate - Consumer and Community Banking - Collections and Recovery

Are you passionate about leveraging data to influence direction, mitigate risk, and optimize financial outcomes? The Consumer and Community Banking (CCB) 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 uses data to create competitive advantages and generate critical analytical insights to support strategic initiatives for Collections and Recovery Operations.

As a Quantitative Analytics Associate, in Collections and Recovery you will play a key role supporting data‑driven decisions with direct impact on the financial bottom line. You will collaborate with partners and stakeholders to drive operational excellence and leverage data governance, predictive analytics, strategy development, data science, and machine learning 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 manage operational expenses.

• 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 in a continuously changing, agile 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.

• Beginner knowledge in statistics, finance, analytics, predictive modeling, and machine learning techniques.
• Bachelor's degree in Statistics, Economics, Econometrics, Operations Research, Mathematics, Finance, or an equivalent quantitative field, with 1+ year 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 diverse 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 while 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, setting high standards for self, acting with a sense of urgency, and following a structured approach to manage multiple priorities and deliverables with high quality and error‑free work.
• Build and maintain positive relationships with clients and stakeholders, addressing their needs and interests effectively.
• Communicate risk‑related issues, strategies, and results with a variety of business partners clearly and effectively.
• Maintain a positive, collaborative, and client‑focused culture, demonstrating curiosity, creativity, and openness to feedback for continuous improvement.

• Master's degree in a relevant field.
• Previous applied risk and/or analytical experience in a financial services industry.
• Applied Collections and Recovery knowledge/experience in Auto, Card, Retail, or Business Banking products.

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 Q1/Q2 2026.

This role is not eligible for visa sponsorship.

Equal Opportunity Employer/Disability/Veterans. We do not discriminate on the basis of any protected attribute. We also provide reasonable accommodations for applicants and employees with disabilities or religious practices.