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Risk Manager

Kafene

NEW YORK, NYFull-time$128–140K/yrSeen 5 days agoSeen in employer's feed 5 days ago

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At a glance

Compensation
$128–140K/yr
Location
NEW YORK, NY
Schedule
Full-time
Work Authorization
Not specified

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Requirements

Credentials this posting asks for.

Master's degree

Job overview

The Risk Manager monitors acquisition, portfolio, and collection performance across the account lifecycle, focusing on consumer credit and fraud risk, lease terms, channel performance, and other metrics. The role integrates complex data sources and conducts statistical and decision-tree analyses to identify root causes and opportunities. It presents findings to leadership, supports strategy implementation and validation with technology teams, and monitors strategies to improve financial performance and customer and merchant experience.

Skills & qualifications

RequiredNice to have

Skills

Quantitative ModelingStatistical ModelingPythonRExcelStatistical AnalysisPivot TablesDecision-Tree ModelingPredictive Analysis

Qualifications

Master of Science in Quantitative Discipline18 Months Work ExperienceConsumer Lending or LTO Industry

Benefits

Medical Insurance
401(k) Match
Paid Time Off

Full job description

Duties: Monitor acquisition, portfolio, and collection performance across the account lifecycle, with a focus on consumer credit risk, fraud risk, lease terms, channel performance, and other key metrics. Integrate complex data sources, including 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, and continuously monitor risk strategies to improve financial performance and enhance the customer and merchant experience. Requirements: Master of Science degree with major in a quantitative discipline (Statistics, Economics, Business/Data Analytics, or similar) and 18 months work experience building quantitative and statistical models in the consumer financial lending or lease-to-own (LTO) industry. Experience must include leveraging Python, R, and Excel for statistical analysis and creating pivot tables and using decision-tree modeling tools for predictive analysis. Hours: Monday through Friday, 40 hours/ week Salary: $127,500 $140,000 per year. Kafene offers health insurance, 401k, and PTO benefits. Contact: Qualified applicants should apply by sending a resume to [email protected] or mail to Kafene, Inc. at 44 West 28th St, 17th Floor, New York, NY 10001.

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