Senior Risk Manager - Credit & ML Analytics

Kafene

New York (NY)

On-site

USD 128,000 - 140,000

Full time

14 days+
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Benefits offered by this job

Healthcare coverage
401k plan
Paid time off from day one
Flexible work options

Job summary

Kafene, based in New York, is seeking a Risk Manager to help build profitable underwriting strategies using advanced data and ML techniques. You will leverage complex data sources to optimize credit and fraud risk across underwriting, portfolio management, and collections.

Join a cross-functional team that collaborates with technology and senior leadership to drive financial performance. The role emphasizes analytical rigor and strategic risk management in a dynamic fintech environment.

Qualifications

  • MS in Statistics or related quantitative field.
  • 18 months of work experience building quantitative models in consumer finance or lease-to-own industries.
  • Proficient in Python, R, and Excel for statistical analysis and predictive modeling.

Responsibilities

  • Monitor acquisition, portfolio, and collection performance across the lifecycle focusing on credit and fraud risk.
  • Integrate bureau, alternative, behavioral, macroeconomic, and internal data to generate insights.
  • Perform statistical and decision-tree analyses to identify root causes and opportunities.
  • Present findings to leadership and partner with technology to implement and validate risk strategies.

Skills

Quantitative modeling
Credit risk
Statistical analysis
Python
R
Excel

Education

MS in Statistics

Tools

Python
R
Excel
Pivot tables
Decision‑tree tools

Job description

Kafene, based in New York, is seeking a Risk Manager to help build profitable underwriting strategies using advanced data and ML techniques. You will leverage complex data sources to optimize credit and fraud risk across underwriting, portfolio management, and collections.

Join a cross-functional team that collaborates with technology and senior leadership to drive financial performance. The role emphasizes analytical rigor and strategic risk management in a dynamic fintech environment.

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