EarnIn is looking to develop groundbreaking solutions through financial risk modeling to deliver real-time financial flexibility for those living paycheck to paycheck
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
- Bachelor's/Master's in Computer Science, Engineering, or equivalent industry experience
- Excellent communication and collaboration abilities
- A passion for continuous learning and personal growth in a dynamic work environment
- 2 days a week in our Mountain View office
- Ability to work in a hybrid environment
