Risk Manager

🕒 June 24

🗽 New York – Remote

🗽 New York – Remote

💵 $95k - $130k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

🎲 Risk

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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

• Leverage multiple and complex data sources such as Bureau information, alternative data, consumer behavior, the macro environment, and portfolio performance metrics to perform quantitative analyses, classification/decision-tree analyses and/or machine learning modeling to understand root causes and/or potential business opportunities. • Translate data into meaningful insights, and design, implement and iterate on strategies to drive profitable business growth. Review findings with senior management, like CRO and CEO. • Design and manage A/B tests, pilot programs, and controlled experiments to evaluate new strategies, including defining test populations, randomization logic, and success criteria. • Build and maintain dashboards and reporting infrastructure to enable real-time monitoring of strategy performance across key metrics. • Monitor our acquisition and portfolio performance related to consumer or merchant credit risk, fraud risk, lease amount, term, channel, and other important metrics across the account lifecycle. • Monitor both internal and macroeconomic performance to define risk appetite and ensure healthy businesses under different environments. • Partner with technology, product, and cross-functional teams to ensure timely and quality implementation with diligent test validation. Track the performance to ensure that it meets expectations.

🎯 Requirements

• Master’s degree in a quantitative discipline such as Statistics, Operations Research, Economics, Engineering, Data Science, or other STEM majors. • Minimum 2 years in the financial industry in an analytical function. Experience in credit risk strategy/collection areas is a plus. • High Proficiency in business reporting and analytical tools such as Power BI and, Tableau is required. • High-level proficiency in Python, SQL, SAS or other data mining and analytical tools. Familiarity with any decision tree analysis tool, like Enterprise Miner, is a plus. • Experience of extracting business insights from data analysis and assembling them into clear business insights or recommendations in the financial service/consumer lending industry.

🏖️ Benefits

• Healthcare: We prioritize your well-being by covering 80% of medical, dental, and vision insurance costs, including coverage for your spouse, children, and other dependents. • Retirement Benefits: Begin planning for your future from day one with our 401k plan. • Paid Time Off: We understand the importance of work-life balance. That's why we offer flexible paid time off days starting from day one of your employment.