AVP, Product Optimization Analyst

Role Summary/

Purpose:

The AVP, Product Optimization Analyst will be responsible for supporting all related product optimization analytical activities across SYF new products.

We are seeking a highly analytical and collaborative Product Optimization Analyst to join our team. This role offers a unique opportunity to work cross-functionally with product, credit, finance, commercial, digital, technology teams to drive analytics and optimization strategies across new and existing products, including installment, revolving, digital wallet initiatives, new features, capabilities and distribution channels.

The right candidate will have the chance to drive product performance optimization while working on cutting-edge solutions and process innovation, including underwriting enhancements, collaborating with diverse teams to make a significant impact on our digital and financial product offerings. We are looking for an innovative, proactive and naturally curious candidate who will play a central role in working with internal and external parties to deliver best-in-class analytics to develop and deliver the future strategy for our new product offerings.

This role reports to the SVP, Product Optimization.

Our Way of Working

We’re proud to offer you choice and flexibility. At Synchrony, our way of working allows you to have the option to work from home near one of our Hubs or come into one of our offices. Occasionally you may be required to commute to our nearest office for in-person engagement activities such as business or team meetings, training and culture events.

Essential Responsibilities

• Provide primary analytical support for Product Optimization analytics and strategies. Analyze large and complex datasets to uncover insights that inform product optimization strategies.
• Collaborate with product, finance, credit, commercial, analytics, client and digital teams to support and influence the development and enhancement of new products, features, capabilities and digital wallet solutions.
• Analyze and segment customers by product, terms, pricing, behavior, adoption, credit performance and profitability to ensure targeting strategies meet the needs of our client partners, customers and SYF.
• Leverage client partners data share and work with external data providers to understand “off-us” customer behaviors, economics and competitive landscape to optimize products.
• Utilize statistical modeling, advanced analytical techniques, and data visualization tools to develop actionable recommendations for business and technical stakeholders.
• Design and implement analysis frameworks to measure product performance and identify opportunities for improvement.
• Partner with SMEs across the organization to accelerate learning of data structure and contents.
• Communicate findings clearly and effectively through reports, dashboards, and presentations to both technical and non-technical audiences.
• Support product testing, experimentation, and validation efforts with rigorous data analysis.
• Establish test and control strategies and create metrics to measure/track performance of those strategies.
• Perform other duties and/or special projects as needed.

Qualifications/Requirements

• Bachelor’s degree in Business, Statistics, Mathematics, Data Science, Economics and 6+ years of progressive work experience with data/analytics in the banking/financial services industry, credit, finance, marketing, modeling or in lieu of degree 7+ years of work experience establishing and managing analytics in the financial services, credit card, consulting, and/or payments industry.
• 3+ years using statistical analysis tools such as SAS, R, Python to perform data mining and complex statistical analyses.
• 3+ years leading large-scale analytics projects.
• 3+ years of experience in analytics roles with cross-functional stakeholders such as marketing, credit risk, finance, others.
• 2+ years of experience with data visualization tools (i.e.: Tableau, SAS Viya, Power BI).
• Ability and flexibility to travel for business as required.

Desired Characteristics

• Master's degree / MBA in Statistics, Economics, Mathematics, or another quantitative field.
• Extensive knowledge of card industry P&L,…