Job Description

Harness your technical expertise to shape innovative client solutions and bridge product capabilities with real-world challenges!

As a Quant Analytics Senior Associate, within the Auto Servicing and Collections Analytics team, you will be responsible for developing business cases, reporting for collections strategies and product features, analyzing customer behavior across collections channels, and helping transform the collections experience.

Job 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

Required Qualifications, Capabilities and Skills:

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

Preferred Qualifications, Capabilities and Skills:

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