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looker sql python tableau alloyπ Description
- Own end-to-end credit and fraud policy implementation across product lines.
- Develop and optimize underwriting and fraud strategies for personal loans.
- Analyze portfolio performance, approval funnels, and fraud trends.
- Design, test, and implement decision rules with data-driven experiments.
- Collaborate with Product, Data Science, Compliance, and Operations to deploy strategies.
- Build dashboards to track credit and fraud KPIs (approval rates, losses).
π― Requirements
- 3+ years of risk management experience in consumer finance, banking, or lending.
- 1+ years implementing credit strategies on a loan decisioning platform (e.g., Alloy).
- Experience with credit bureau data (Experian, TransUnion, Equifax) and alternative data sources.
- Strong knowledge of regulations, standards, and guidelines governing consumer lending.
- Proficiency in SQL and Python for data analysis and strategy development.
- Experience with decisioning platforms to implement/maintain credit and fraud strategies, including production rules.
- Experience with BI/visualization tools such as Looker or Tableau.
π Benefits
- Health, Dental, Vision benefits plus savings plans
- Mac computers + work-from-home stipend to set up your home office
- Monthly internet and phone reimbursement
- Employee Stock Purchase Plan
- Restricted Stock Units (RSUs)
- 401(k) plan with company match
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