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

As an Analytics Vice President, within the Auto Servicing and Collections Analytics team, you will create critical performance metrics such as KPIs and OKRs, deriving decision-enabling analytics insights and reporting for collections strategies and product features. You'll play a key part in identifying and developing business cases for product or process enhancements that increase efficiency, effectiveness and provide better customer experience.

Job Responsibilities:

Understand the Auto collections and servicing functions including existing product features and strategyDevelop expertise in Auto specific performance metrics and terminology, and nuances of systems and dataPerform detailed quantitative analysis using SAS/SQL and/or Alteryx to evaluate performance of new and existing strategies and/or product featuresCreate and measure key performance metrics and trends for the product stakeholders and partners. Identify opportunities to enhance existing strategy segmentation and product functionality Develop quantitative-based financial business cases to support various product initiativesPartner with technology and product to create data capture and storage requirements for existing and future initiativesTranslate analytics insights into actionable business recommendations and present recommendations clearly and concisely to varying levels of management

Required Qualifications, Capabilities and Skills:

Bachelor’s degree in a quantitative discipline and 6+ years of experience in a data analysis, financial, or technical role Proficiency using SAS as an analytical toolKnowledge of the Auto business in a financial institution Working knowledge of SQL and/or AlteryxAbility to research and gain insights into complex systems, processes, and dataExperience and ability to leverage in-depth analytics to derive decision-enabling insightsCompetent to engage both technical and non-technical partners and stakeholders effectivelyStrong communication skills including effective story-telling around quantitative findingsExcellent stakeholder management and relationship building abilities  

Preferred Qualifications, Capabilities and Skills:

Experience with Operations process or systemsCollections strategy and/or analytics experience preferred but not required