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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
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