Employee Applicant Privacy Notice
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.
We’re seeking a Risk Data AI/ML Product Manager to lead the development of advanced data-driven solutions across SoFi’s First Line of Defense Risk Data. This includes domains like Business Risks & Controls, Credit, Collections, and Fraud. As a strategic bridge between engineering, data, and business stakeholders, you’ll drive innovation through AI, ML, and automation to enhance decision-making, streamline processes, and improve risk outcomes.
What You’ll DoProduct Strategy & VisionDevelop and execute the roadmap for AI/ML and data-driven products supporting Risk Data (Credit, Collections, Fraud).
Collaborate with stakeholders to identify opportunities to apply ML, automation, and data tools to risk management challenges.
Align product strategy with broader organizational goals to improve operational efficiency, analytics, and outcomes.
Partner with the Business Risk & Controls team to implement AI/ML tools that improve oversight and streamline processes.
Identify and implement automation opportunities to replace manual work with scalable solutions.
Build AI analytics that surface strategy improvement opportunities within the Decision Engine.
Create solutions that empower teams with actionable insights and predictive intelligence.
Work closely with the Credit Risk, Collections, and Fraud teams to define requirements and success metrics.
Act as the primary liaison between technical teams (e.g., Data Engineers, ML Specialists) and business partners to ensure alignment.
Define and promote best practices for data governance, security, and quality within AI/ML products.
Monitor performance and iterate to enhance accuracy, efficiency, and user experience.
Bachelor’s degree and 5+ years of relevant experience, or Master’s degree and 3+ years of experience.
Proven success delivering AI/ML products in data-focused environments—ideally within financial services, risk, or related fields.
Deep familiarity with data pipeline and modeling tools (e.g., Snowflake, dbt, Airflow).
Exposure to AI/ML frameworks (e.g., TensorFlow, PyTorch, Hugging Face) and platforms like AWS and SageMaker.
Strong analytical and problem-solving skills with a data-first mindset.
Excellent collaboration and communication abilities across technical and non-technical teams.
Top Skills
Similar Jobs at SoFi
What you need to know about the Los Angeles Tech Scene
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
