Develop advanced machine learning models, guide measurement, strategy, and data-driven decision making to support credit underwriting for unsecured loans for SoFi.
Requirements
- Excellent knowledge of machine learning and statistical modeling methods for supervised and unsupervised learning. These methods include (but not limited to) regression, clustering, outlier detection, novelty detection, decision trees, nearest neighbors, support vector machines, ensemble methods and boosting, neural networks, deep learning and its various applications. Continuously follow the advancement of machine learning and artificial intelligence to update your knowledge and skills in order to solve business problems with the most efficient methodologies
- Strong programming skills in Python
- Strong knowledge of databases and related languages/tools such as SQL
Responsibilities
- Research, develop, implement, and continuously improve machine learning models and strategies that support various credit underwriting for SoFi’s unsecured lending businesses
- Proactively identify opportunities to apply advanced machine learning and AI approaches (e.g., GenAI, Agentic Systems, Graph Modeling, etc) to solve complex business problems
- Contribute to the continuous improvement of internal modeling codebase to support rigorous, efficient, scalable, and consistent modeling practices
- Collaborate with Model Risk Management team to demonstrate models are developed with high level rigor that satisfy Model Risk Management and Governance requirements
- Partner with the Product and Engineering teams for model deployment
- Perform ongoing monitoring of the models through the construction of dashboards and KPI tracking
- Present model performance and insights to Credit, Risk, and Business Unit leaders
Other
- Communicate and collaborate with business stakeholders effectively to understand business needs and pain points to deliver high quality ML models that help propel business forward
- Effective communication skills and ability to explain complex models in simple terms
- Experience in a financial organization
- Experience with model documentation and delivering effective verbal and written communication
- Experience in working closely with Product, Engineering, and Model Risk Management teams
