Senior Manager Data Scientist (Portfolio Management and Loss Mitigation)

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Who we are:

Senior Manager Data Science

Portfolio Management and Loss Mitigation

The Role:

SoFi is seeking an inspirational and deeply experienced Senior Manager to lead the Portfolio Management and Loss Mitigation function in our Risk Data Science team. Reporting to the Head of Risk Data Science this role will lead the development deployment and governance of portfolio management and loss mitigation models for all credit products.

The ideal candidate is a hands-on leader who can transition the team from traditional modeling to next-generation machine learning platforms leveraging emerging data sources (e.g. cash flow alternative bureaus) to significantly improve portfolio performance reduce losses and ensure rigorous adherence to Model Risk Management (MRM) standards. This role requires exceptional organizational leadership an ability to influence stakeholders and proven success in delivering complex models into a regulated production environment.

What Youll Do:

• Portfolio Management and Loss Mitigation Excellence: Directly oversee the development and deployment of Next Generation models designed to manage and mitigate portfolio losses while maintaining loss guardrails.
• Drive Next-Generation Capabilities: Incorporate industry trends and advanced techniques (NLP Graph Mining LLMs Deep Learning) to solve complex high-impact risk problems where established principles may not fully apply.
• Alternative Data Strategy: Spearhead the evaluation and integration of alternative data sources (Macro-Economic variables tri-bureau LexisNexis cash flow data) to enhance predictive power across all credit products.
• Lead the current team of high-performing Staff and Senior Data Scientists. Recruit mentor and foster talent through deliberate interactions succession planning and creating a high-accountability low-ego culture.
• Model Risk Management (MRM): Act as the primary owner for all models in the portfolio ensuring robust documentation monitoring and successfully navigating the 2nd Line of Defense (2LOD) review and approval process (SR 11-7 familiarity is mandatory).
• Stakeholder Alignment: Interact and negotiate with senior management and external stakeholders to reconcile competing views and drive critical high-impact business decisions.
• Automation and Efficiency: Lead efforts to automate model monitoring and governance processes to create scalable and auditable infrastructure.

What Youll Need:

• Experience: 8 years of progressive experience in credit risk modeling and data science within a regulated financial institution (FinTech Bank or similar) with at least 3 years in a people management role managing technical staff.
• Education: Masters or Ph.D. degree in a quantitative field (Statistics Computer Science Engineering Operations Research etc.).
• Technical Acumen: Deep expertise in advanced statistical and machine learning modeling techniques (e.g. Gradient Boosting Deep Learning Causal Inference).
• Regulatory Knowledge: Detailed working knowledge of model risk management standards (e.g. SR 11-7) and the ability to operate within a highly regulated environment.
• Tools & Platforms: Expert-level proficiency in Python (PySpark scikit-learn TensorFlow/PyTorch) and SQL/data warehouse technologies (e.g. Snowflake Hive). Familiarity with modern MLOps platforms and cloud computing (AWS).
• 3 years of progressive people management experience is required including the ability to recruit mentor and foster talent within a team of high-performing Staff and Senior Data Scientists.
• Communication: Ability to distill highly complex analytical concepts into clear concise and compelling narratives for non-technical leadership.