Staff Analyst, Model Risk Management

The role

We are seeking a Lead, Data Science to join our Lending Business Insights and Data Science team. This leader will partner closely with SoFi’s Product, Engineering, and Finance teams

to optimize our application funnels through experimentation, understand product usage across member segments, and enable data driven strategic decision making.  The ideal candidate is both forward-thinking and hands-on, has a strong sense of ownership and drive for delivery, and is a good mentor and co-worker. We pride ourselves on a philosophy of continuous learning, and you should likewise be committed to furthering growth and providing mentorship for your team members.  

What You'll Do

• Build and lead a great data science team to deliver the best consumer financial products on the market


• Apply your expertise in quantitative analysis, data science, and the presentation of data to see beyond the numbers and understand how our users interact with our products or SoFi Platforms


• Partner with Business, Product, Engineering, and Finance teams to solve problems and identify trends and opportunities


• Inform, influence, support, and execute our product decisions


• Build/maintain reports, dashboards, and metrics to monitor the performance of our products


• Manage the development of data marts, gather requirements, organize sources, and support product launches while keeping the team accountable and impactful

What you’ll need:

• Bachelor’s Degree in Computer Science, Math, Physics, Engineering, or related quantitative field.


• 2+ years of experience in managing other team members in a formal or informal capacity


• 5+ years of experience doing quantitative analysis at a technology company, consulting, investment banking, or product management including experience with SQL or other programming languages


• 5+ years of experience with applied statistics or experimentation (i.e. A/B testing) in an industry setting


• Experience initiating and drive projects to completion with minimal guidance


• Experience communicating and representing results of analysis to senior leadership


• Understanding of statistical analysis, experience with packages, such as Python, R


• Experience with cloud-based platforms, such as AWS, Snowflake


• Experience with building data visualizations with Tableau, Looker or other BI tools