Auto Servicing and Collections - Quant Analytics Senior Associate

JPMorgan Chase - Columbus, OH

Full-time - Mid Level

Columbus, OH

Credit Intermediation and Related Activities

About the position

As a Quant Analytics Senior Associate within the Auto Servicing and Collections Analytics team, you will leverage your technical expertise to develop innovative client solutions that address real-world challenges. This role focuses on analyzing customer behavior across collections channels, developing business cases, and reporting on collections strategies and product features to enhance the collections experience.

Responsibilities

• Understand the Auto and Servicing collections business, including existing product features and strategy, various collections-specific performance metrics and terminology, and nuances of collections data.
• Perform detailed quantitative analysis using SAS/SQL and/or Alteryx to evaluate performance of new and existing collections strategies and product features.
• Identify opportunities to enhance existing strategy segmentation and product functionality, and translate analytics insights into actionable business recommendations.
• Analyze customer interactions and events across a variety of channels (calls, branch, online, mobile) to better understand customer journeys and friction points.
• Develop financial business cases to support various product initiatives.
• Support and/or create self-service reporting such as Adobe Analytics and Tableau dashboards to help product and additional partners track key performance indicators and trends in collections customer behavior.
• Partner with technology and product to create data capture and storage requirements for existing and future initiatives and present analytics and recommendations clearly and concisely to varying levels of management.

Requirements

• Bachelor's degree in a quantitative discipline (Statistics, Mathematics, Data Science/Analytics, Engineering, Applied Economics, Management Information Systems).
• 3+ years of experience in a data analysis, financial, or technical role.
• Proficiency in SAS/SQL and/or Alteryx.
• Familiarity with data mining, statistical modeling, machine learning and other advanced analytics methods.
• Knowledge of best practices within data visualization and user experience.
• Proficiency in Microsoft Office (especially Excel and PowerPoint).
• Ability to engage both technical and non-technical partners and stakeholders effectively.

Nice-to-haves

• Masters or above degree in quantitative or technical discipline.
• Experience with Python highly preferred.
• Knowledge and experience in Auto, Collections, Servicing, and/or retail bank businesses highly preferred.
• Collections strategy and/or analytics experience preferred but not required.
• Experience delivering analytics solutions following an Agile (Scrum or Kanban) methodology and with product/marketing analytics and producing A/B test analytics.

Benefits

• Comprehensive health care coverage
• On-site health and wellness centers
• Retirement savings plan
• Backup childcare
• Tuition reimbursement
• Mental health support
• Financial coaching