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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 Staff Data Scientist who will help shape our Credit Card business strategy and product development decisions through data-driven insights. The Senior Staff Data Scientist will be working closely with cross-functional partners, including Credit Card business leaders, Product & Finance partners, to build and grow SoFi Credit Card into a top choice for consumers to “Get Your Money Right”.
This is an exciting role for someone to make a direct impact on new product strategy and revenue of SoFi. 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 using math/statistics/ML techniques, and measure the business impact using efficiency/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:
- Work with amazing product and business managers to identify strategic opportunities, measure KPIs to craft compelling stories, make data-driven recommendations, and drive informed actions.
- Analyze segment performance at the portfolio level and by vintage to drive insights and optimization
- Help drive customer engagement strategies including early stage engagement, balance transfers, spend programs, and retention
- Help manage and analyze existing cardholder portfolio covering spend engagement, balance stimulation, and good payment behaviors
- Craft, analyze, and present customer behavior metrics, such as funnel conversion, user churn, features engagement, product LTV, and cross-sell metrics. Work with product and marketing partners to design tests to improve these metrics.
- Own end-to-end product analytics workflow including formulating success metrics, socializing them across the organization, and creating pipelines & dashboards/reports;
- Run significance tests and continuously discover trends in customer behavior to inform decision making with a high level of confidence;
- Present analyses to Credit Card and Finance business leaders.
What you’ll need:
- M.B.A, B.S. or M.S. in Statistics, Economics, Engineering, Computer Science, Mathematics or a related quantitative field is required for this position
- 8+ years of experience working in an analytics, business strategy, or related role in the credit card industry
- Strong programming skills in SQL, Python and proficiency in Tableau
- Experience in the Credit Card industry, and deep understanding of credit card credit bureau data
- Strong understanding of Credit Card PnL (profit and loss) drivers
- Experience with product analytics, experimentation and hypothesis testing
- Proven track record of end-to-end experience in building analytical frameworks to inform business strategy
- Ability to work in a dynamic, cross-functional environment, with a strong attention to detail
- Effective communication and presentation skills and ability to explain complex analyses in simple terms to business leaders
- Exceptional problem-solving skills
- Strong relationship building and collaborative skills
SoFi New York, New York, USA Office
Our New York office, located in the meat-packing district, provides an open work environment and is a hub for our finance teams. Our large conference, flexible work spaces, huddle rooms, and shared community areas allows our teams to openly collaborate while looking at some spectacular views.
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