The Data Scientist Manager role in the pricing group will be responsible for turning data into actionable insights to make pricing decisions, including but not limited to competitive comparisons, product performance evaluations, and scenario building. The role is new to the pricing department and will evolve over time, so will require an individual with experience navigating ambiguity and an interest in helping to shape how data science and machine learning are applied to pricing decisions.
The Manager will help oversee the development of insightful and scalable pricing insights, ensuring analytic capabilities are defined with proper methodological rigor and architected to be available in a robust, scalable, and sustainable fashion.
The pricing organization owns overall pricing architecture and pricing recommendations across existing and new businesses; manages the implementation process for pricing changes, including receiving approval from governance committees; and monitoring and reviewing of performance of past price actions.
The Data Scientist Pricing Manager role will report to the Director of Pricing.
Advanced Financial Modeling Capabilities: Advanced financial modeling skills, including extensive use of Python or AWS statistical platforms, macros, pivot tables, and other contemporary modeling techniques.
Financial Services Industry/Consumer Loan Products Familiarity: Prior Financial Services Industry experience; Consumer Loan Products experience and experience with prepayment and credit models preferred.
Problem Solving & Analytical Orientation: Excellent problem-solving and analytical skills that are used to track, analyze, interpret, and report key metrics, trends, and financial results. Able to take deep dive into the details of the business while staying focused on the big picture. Takes a systematic, structured view of situations, deconstructing them into their fundamental elements. Insists on proof in data, peeling back layers to understand root causes, and uses data to anticipate/project emerging issues, drive innovation, and support business decision-making.
Results Oriented: Results oriented, including the capacity to both think strategically and execute tactically, embodying a blend of technical, creative, business, and communications skills.
The successful Data Scientist Pricing Manager must possess superior intelligence with a record of increasing responsibilities and success. Financial Services industry experience working with (or consulting for) a credit granting financial institution (e.g. in consumer banking, credit cards, and/or consumer finance) preferred. Advanced data science and financial modelling skills required.
The ideal candidate must have significant (5-9 years) of data science, machine learning or consumer loan modelling experience. The successful candidate will be a self-starter with high energy and unyielding intellectual curiosity. The successful candidate must be able to roll up his/her sleeves and comfortably execute at a hands-on tactical level
An undergraduate degree in mathematics, a quantitative educational background or related field with a distinguished academic record required.