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Who we are:
Shape a brighter financial future with us.
Together with our members, we’re changing the way people think about and interact with personal finance.
We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world.
The role
We are seeking a Senior Data Scientist to join our Pricing team in the Lending Organization, with focus on our Personal Loans (PL) business. This is an exciting role for someone to make a direct impact on the revenue of SoFi. As a senior data scientist in our Pricing team, you will be working closely with a world-class team of business leaders and data scientists to help develop, launch, and monitor SoFi pricing strategies across our PL business.
What you’ll do:
Develop and test pricing strategies that optimize for profitability through the improvement of revenue, credit risk, and/or cost per customer acquisition
Innovate and own new pricing strategies to drive company profits
Run significance tests and continuously discover trends in customer behavior to inform decision making with a high level of confidence
Leverage pricing models to simulate profitability from pricing strategies and forecast changes to SoFi’s customer credit portfolio
Build reporting pipelines and dashboards to deliver results of pricing strategies to the business
Build intuitive and analytical models to help decision makers understand the price elasticity of customer segments
Routinely present analyses to SoFi business leaders.
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. M.B.A preferred, not required.
5-7 years of industrial experience working in the area of pricing, financial services, consulting, and/or credit risk strategies
Proven track record of end-to-end experience in utilizing and laying strategic framework for model development, testing, implementation and performance tracking in the financial services industry
Exceptional programming skills in Python and SQL
Strong knowledge of Tableau and experience building production-level dashboards
Ability to work in a dynamic, cross-functional environment, with strong attention to detail
Effective communication skills and ability to explain complex concepts in simple terms
Strong relationship building and collaborative skills
Excels in a fast moving environment with outstanding stakeholder management abilities
Exceptional problem-solving skills
Nice to have:
Experience working with product and/or engineering teams
Experience working in the consumer unsecured lending space
Experience with Snowflake, Gitlab, & DBT
Experience with machine learning and statistical modeling methods for supervised and unsupervised learning