Risk Manager

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $127.5k - $140k / year

⏰ Full Time

🟢 Junior

🎲 Risk

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 0%

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Kafene

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2019

💼 Consulting

📦 Logistics

💳 Fintech

💰 $15M Debt Financing - Kafene on 2024-01

Consulting • Logistics • Fintech

Kafene is a consumer finance company that offers flexible lease-to-own and point-of-sale financing solutions for merchants and customers, especially those with limited or no credit history. It uses a data-driven underwriting approach (over 20,000 data points) and personalized pricing to approve customers quickly—often with a 60-second application—and funds leases up to $5,000. Kafene partners with retailers to increase conversion, average order value, and access customers across all credit profiles through seamless POS integrations and customizable merchant programs.

📋 Description

• Report to the VP of Risk • Help build profit-driven consumer underwriting strategies • Harness complex data sources and machine learning • Partner across technology and senior leadership to develop strategies optimizing credit risk, fraud risk, and other factors across underwriting, portfolio management, and collections • Monitor acquisition, portfolio, and collection performance across the account lifecycle • Analyze consumer credit risk, fraud risk, lease terms, channel performance, and other key metrics • Integrate bureau, alternative, behavioral, macroeconomic, and internal portfolio data to generate actionable insights • Conduct statistical and decision-tree analyses to identify root causes and business opportunities • Present findings to leadership • Partner with technology teams to support strategy implementation and validation • Continuously monitor risk strategies to improve financial performance and enhance customer and merchant experience

🎯 Requirements

• Master of Science degree with major in a quantitative discipline (Statistics, Economics, Business/Data Analytics, or similar) • 18 months'+ work experience building quantitative and statistical models in the consumer financial lending or lease-to-own (LTO) industry • Experience leveraging Python, R, and Excel for statistical analysis • Experience creating pivot tables • Experience using decision-tree modeling tools for predictive analysis

🏖️ Benefits

• Employer covers 80% of medical, dental, and vision insurance costs, including coverage for spouse, children, and other dependents • 401k plan available from day one • Flexible paid time off days starting from day one of employment