Senior Analyst, Model Risk Management

📋 Description

• Support 2LOD MRM for high-risk models, incl. Fraud and GenAI deployments.
• Maintain and enhance MRM framework: policies, procedures, validation standards.
• Enforce lifecycle standards across development, deployment, monitoring, and decommissioning.
• Maintain model inventory; assess impact, intrinsic risk, and AI risks.
• Perform independent validation reviews; produce reports and remediation plans.
• Collaborate with Data Science, InfoSec, Legal, Finance, and product teams.

🎯 Requirements

• Advanced degree in data science, statistics, math, CS, or related field.
• 5+ years in Model Risk Management/validation with fintech or banking exp.
• Strong ML/stat foundations; model development, validation, evaluation, calibration.
• Fraud model experience: monitoring, prediction, merchant risk; imbalance handling.
• Familiar with Generative AI/LLMs; risks incl hallucination, bias, prompt injection.
• Python/SQL expert; Spark, scikit-learn, XGBoost; TF or PyTorch; Git, CI/CD.

🎁 Benefits

• Hybrid work model with in-person collaboration.
• Competitive compensation and comprehensive benefits.
• Accommodation support for applicants with disabilities.