SoFi is looking to develop advanced machine learning models to support various credit risk and operational areas for SoFi Credit Card products, and to guide measurement, strategy, and data-driven decision making.
Requirements
- Excellent knowledge of machine learning and statistical modeling methods for supervised and unsupervised learning, including (but not limited to) linear regression, logistic regression, decision tree, ensemble methods, clustering, outlier detection, novelty detection.
- Strong programming skills in Python and SQL.
- Hands-on experience with ML model implementation in production environments using tools such as AWS SageMaker, Git, Docker, and CI/CD pipelines.
- Experience with model documentation and delivering effective verbal and written communication.
- Experience working closely with Product, Engineering, and Model Risk Management teams.
- Knowledge of machine learning frameworks and algorithms.
- Experience with data version control and testing.
Responsibilities
- Develop, implement, and continuously improve machine learning models that support various credit and operational procedures including but not limited to underwriting, account management, and loss mitigation.
- Implement scalable model pipelines leveraging modern ML platforms (e.g., AWS SageMaker) and best practices in version control (Git), testing, and CI/CD.
- Partner with Product and Engineering teams to operationalize models, including deployment, monitoring, and integration into business systems.
- Collaborate with the Model Risk Management team to ensure models are developed with rigor that satisfy Model Risk Management and Governance requirements.
- Present model performance and insights to Credit, Risk, and Business Unit leaders.
- Explore and leverage in-house, external, and open-source machine learning frameworks and algorithms.
- Develop complex business rules to solve business problems.
Other
- Bachelor’s degree in Computer Science, Statistics, Mathematics, Physics, Engineering, or a quantitative field required. Master’s or Ph.D. preferred.
- 3+ years of relevant work experience with building, implementing, and deploying machine learning models.
- Effective communication skills and ability to explain complex models in simple terms.
- Ability to work in a team environment and collaborate with cross-functional teams.
- Ability to work in a fast-paced environment and adapt to changing priorities.
