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

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 leverages data to create competitive advantages and generate critical analytical insights to support strategic initiatives for Collections and Recovery Operations.

As a Quantitative Analytics Manager, in CCB Collections and Recovery, you will lead end-to-end portfolio analytics leveraging data analysis to influence direction, mitigate risk, build partnerships and optimize financial outcome. You will be a strategic contributor, play a key role supporting data-driven decisions with direct impact to financial bottom line and collaborate with partners to drive operational excellence. In this capacity, you will utilize 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 advanced data programming and robust 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 internal business drivers, underlying data and core operational processes to support strategic direction with independent and thoughtful insights.
• Lead end-to-end portfolio analytics for collections and recovery channels, creating the opportunity for advanced knowledge specialization as well as significant exposure to broader department activities.
• Define and execute against a comprehensive strategy and vision for assigned channel, address issues with forward-looking solution. Effectively manage multiple priorities, optimize strategy and focus on results leading the delivery of analytical insights amidst continuous change in an agile and demanding work environment.
• Become a subject matter expert and trusted partner to influence business direction and support operational success, advising on strategies with experimentation to support ongoing process, product and channel improvement.
• Leverage innovation, AI technology and design thinking to continually improve operational efficiency and resilience.
• Interpret and present data clearly using narratives, visualizations, and context to convey insights and drive action.
• Coach and manage junior/senior analysts directly or through a matrix environment (dotted-line) at opportune time.

• 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 6+ years of applied analytical experience, or Master's/MBA degree with 4+ years of applied analytical experience in complex and large data environments; in a financial services industry.
• 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.
• Strategic thinker and effective communicator defining clear strategy to support business goals, drive transformation and simplify complex techniques into actionable information to facilitate decision-making across diverse audiences.
• Build business acumen and forge strong partnerships with clients and stakeholders, actively seek input to anticipate and address needs effectively, gain trust and drive learning and process improvements to accelerate business objectives.
• Coordinate efforts and leverage diverse perspectives working effectively across functions to achieve common goals.
• 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.
• Willingly learn from experience, view challenges as opportunities, motivated by business/technical challenges and open to feedback for continuous improvement. Positive culture carrier, curious and creative; collaborative, team and client focused.

• PhD degree in a quantitative field with 2+ years advanced analytics experience.
• 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.
• Previous experience managing cross-functional teams and fostering collaboration; strong leadership skills with the ability to inspire, mentor, and develop a high-performing team.