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About the Role:
- Evaluate sophisticated machine learning models, traditional quantitative models, and emerging Generative AI applications.
- Partner with cross-functional teams to maintain model inventories, risk assessments, and governance materials.
- Translate complex technical concepts into clear, decision-useful insights for stakeholders.
Requirements:
- Master's degree in a quantitative discipline with 4+ years of experience in model risk management or related.
- Strong understanding of AI/ML methodologies, including tree-based models, neural networks, and Generative AI.
- Proficiency in Python, R, SQL, or similar, with excellent communication skills.
Benefits:
- Competitive salary range with bonus and equity opportunities.
- Comprehensive medical, dental, and vision coverage plus wellness resources.
- Remote-first flexibility with periodic in-person collaboration.
Partner Company
A growing technology-driven banking environment focused on consumer lending and financial services. The company emphasizes a remote-first culture, cross-functional collaboration, and inclusive workplace practices.