Valuation Manager, Credit Card
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The Valuation Manager is responsible for ensuring the success of the SoFi Credit Card business with a focus on leading the development and ongoing monitoring of account level Valuation, vintage profitability, and targeting strategy optimization. In this role, you will need experience and understanding of the following functions: Product, Segmentation, Credit, Economics, Analytics, and Modeling.
What you’ll do:
Build and maintain the central perspective of prospect & member-level card economics using on-us and off-us data dimensioned across a suite of segments and machine-learning targeting models
Lead management of Valuation assumptions fed into the monthly targeting strategy and campaign optimization process for new account originations
Design and oversee analytics to track vintage-level performance of granular microsegment level account Valuations
Manage quarterly Valuation model monitoring governance process to validate go-forward assumptions against historical vintage trends
Monitor test and learn strategy results for Valuation assumption impacts when Challenger strategies replace Champion core roll-out strategies
Own the analytics and communication of vintage value and projected economics on the new vintage originations
Leverage tools such as Python, VBA, and Excel to develop a technical infrastructure that enables speed and flexibility to manage a multitude of scenarios and updates to Valuation assumptions across a complex financial model architecture
Collaborate and partner with Credit Risk, Marketing, Product, Pricing, Finance, & Data Science to incorporate cross-functional perspectives into new account Valuations and maintain alignment on impacts to overall targeting strategy and financial planning process
Comfortable managing third-party resources to support ad-hoc technical infrastructure development and design
What you’ll need:
Typically requires 3+ years of credit card acquisitions experience in at least one of the following functional areas: valuations, credit risk, strategic business analytics
A high level of expertise with SQL and Excel, and interest in learning or overseeing analytics leveraging Python
The candidate should be capable of merging and transforming large analytical datasets to perform complex analysis and extract applicable insights to inform business strategy
An intuitive understanding of the economic drivers of profitability and performance in unsecured credit as well as a strong foundation of knowledge in financial analysis and analytical methodologies
Advanced ability to solve problems creatively, objectively consider multiple points of view, and be capable of synthesizing complexity into a simple recommended approach or perspective
Self-starter; comfortable with ambiguity and open-ended problems
Excellent verbal, written, and interpersonal communication skills
High degree of initiative with a strong drive for results
BS or MS in Economics, Finance, Engineering, Mathematics, Science or similar quantitative analytical field