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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.
We are seeking a Senior Staff Data Scientist, Invest who will help shape our Invest business strategy and product development decisions through high-impact, data-driven insights. The Senior Staff Data Scientist will work closely with cross-functional partners, including Invest business leaders, Product, and Finance partners, to build and grow SoFi Invest into the premier choice for anyone looking to "Get Their Money Right" in the markets.
This is a high-leverage role with a direct impact on the product strategy and revenue growth of SoFi’s investment ecosystem. Success in this role hinges on your technical aptitude, quantitative abilities, and deep 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.
- Help drive customer engagement strategies including account funding, recurring deposits, trading activity, and retention.
- 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.
- Drive the end-to-end product analytics strategy for Invest, from architecting the data instrumentation required to track the customer journey, to establishing the North Star metrics and analytical frameworks that guide our long-term roadmap.
- Own Invest’s end-to-end experimentation lifecycle, including hypothesis development, test design, and the translation of experimental results into actionable product recommendations.
- Discover and analyze trends in customer behavior to inform decision making with a high level of confidence.
- Present analyses to Invest business and product leaders.
- 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 a data science, analytics, business strategy, or related role in the investment or brokerage industry.
- Strong programming skills in SQL, Python and proficiency in Tableau.
- Experience in the Wealth Management or Fintech industry, and deep understanding of brokerage and market data.
- Strong understanding of Invest P&L (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.
- 2+ years of management experience
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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