Related skills
sql python data visualization machine learning statistical modeling📋 Description
- Leverage data analytics to derive insights and optimize credit strategies.
- Partner with Engineering to design scalable risk models and credit capabilities.
- Monitor portfolio performance and macro trends; adjust underwriting to mitigate risk.
- Collaborate with Product, Legal, and Compliance to translate regulatory needs into credit policy.
- Engage external stakeholders including merchants, vendors, regulators to align risk practices and partnerships.
- Oversee underwriting frameworks balancing growth, compliance, and risk mitigation.
🎯 Requirements
- Bachelors in data science, CS, engineering, economics or related field with 4+ years experience
- Experience setting credit strategy for new products using Sandbox data and retrospective studies
- Experience in unsecured lending, especially home improvement
- SQL, Python, or other scripting languages
- Data mining, data visualization, and statistical modeling
- Applying machine learning to credit risk management
🎁 Benefits
- Health care coverage for you and dependents
- Flexible Spending Wallets with stipends for tech, food, lifestyle
- Time off - competitive vacation and holidays
- ESPP - employee stock purchase plan at discount
- Remote-first culture with remote work options
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