Related skills
sql python machine learning spark credit risk📋 Description
- Leverage data analytics to derive actionable credit underwriting insights.
- Collaborate with ML and Engineering to build underwriting models.
- Design and implement credit strategies for new products.
- Run experiments to optimize risk, growth, and profitability.
- Partner with Product, Merchant Pricing, and Finance teams.
- Communicate findings clearly to technical and non-technical audiences.
🎯 Requirements
- 2+ years as a data analyst or data scientist (credit risk preferred).
- Curious and eager to learn; think outside the box.
- Extensive SQL and Python experience; Spark a plus.
- Machine Learning knowledge is a plus.
- Ability to collaborate and influence across teams.
- Ability to communicate findings to diverse audiences.
🎁 Benefits
- Remote-first culture; work from almost anywhere in the country.
- Health care coverage for you and dependents.
- Flexible Spending Wallets for tech, food, and lifestyle needs.
- Generous vacation and holiday schedules.
- ESPP - Employee stock purchase plan.
- Inclusive interview process and accommodations.
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