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Responsibilities:
- Lead the full lifecycle of ML models for credit risk, including feature engineering, development, and validation, driving measurable business outcomes.
- Collaborate with technology and engineering teams for precise model implementation and proactively monitor performance in production.
Requirements:
- Master's or PhD in a quantitative discipline preferred, with 5+ years of hands-on experience building and deploying models in credit risk or fintech.
- Advanced proficiency in Python and SQL, with deep knowledge of ML algorithms, plus strong communication skills for technical and executive audiences.
Company Culture:
- A culture that values data and treats ML as a strategic asset, offering competitive compensation and remote flexibility.
- Direct impact on a high-stakes product used by hundreds of thousands, with ownership of ML systems from day one in a diverse and supportive team.
Kafene
Kafene is revolutionizing the lease-to-own space by making flexible lease-to-own accessible to everyone using cutting-edge AI and machine learning. The 150-person team thrives on a culture of collaboration, innovation, and support, recognized as a Startup to Watch by Built In and one of the Best Startup Employers by Forbes.