EarnIn is making significant investments to innovate and set new standards in ML applications within fintech, focusing on developing groundbreaking solutions through financial risk modeling to generate substantial business and social impact.
Requirements
- 4+ years of machine learning experience with strong software engineering skills.
- Experience with Risk modeling for financial use cases is required
- Proficiency in ML techniques (LLMs, deep learning, sequence, and tree-based models); credit/fraud risk and portfolio management knowledge is a plus.
- Advanced Python programming, SQL, and data manipulation skills.
- Experience with ML frameworks (TensorFlow, PyTorch) and cloud platforms (AWS Sagemaker, Databricks, GCP Vertex AI).
Responsibilities
- Design, develop, A/B test, and deploy risk models while collaborating with data scientists to drive data-driven decisions.
- Enhance credit and fraud models by incorporating innovative features every quarter and leveraging the latest industry research.
- Monitor feature and model health, and communicate changes in model decisions.
- Explore and integrate advanced technologies, including deep learning and LLMs, in the risk domain.
- Lead by example to foster operational excellence and transformative change.
- Expand responsibilities as new products emerge.
Other
- This is a hybrid position requiring 2 days a week in our Mountain View office
- Excellent communication and collaboration abilities.
- A passion for continuous learning and personal growth in a dynamic work environment
