The role

We are seeking a Senior Pricing Analyst, Home Equity to join our Pricing team within the Lending Business Unit. This is an exciting role for someone to make a direct impact on the revenue of SoFi by helping shape the Home Equity Business strategy and product development through data-driven insights and pricing recommendation. As a Lead Pricing Analyst for Home Equity in our Pricing team, you will be working closely with a world-class team of business leaders and data scientists to help SoFi develop, implement, and analyze Home Equity pricing strategies. Success in this role hinges on your technical aptitude, quantitative abilities, and business acumen: you know how to plow through data with SQL/Python/Tableau, surface insights, and measure the business impact using conversion/ profit metrics. You treat stakeholders as a partnership – you are there at each step of the way and you know that we only succeed if we succeed together.

What you’ll do:

• Develop and test pricing strategies that optimize profitability through the improvement of revenue, conversion, and cost per customer acquisition.

• Collaborate with the Business Unit Leader in Home Lending to manage pricing margins, provide insights into the competitive landscape and ensure pricing is in line with targets and profitability expectations

• Build dashboards to deliver results of pricing strategies to the business and reporting that assist in pipeline management

• Build intuitive and analytical models to help decision makers understand the price elasticity of customer segments.

• Run significance tests and continuously discover trends in customer behavior to inform decision making with a high level of confidence.

• Routinely present analyses to SoFi business leaders

• Support day-to-day operations including daily rate sheets, lock, extension and exception processing

• Represent Pricing in front of internal stakeholders (lock desk, credit risk, capital markets, marketing, finance) and external vendors

What you’ll need:

• B.S. or M.S. in Computer Science, Statistics, Operations Research, Engineering, Mathematics or a related quantitative field is required for this position.