BMG Money

Vice President, Credit Decision Sciences

BMG Money

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Job Level

Lead

Tech Stack

CloudPythonSQL

About the role

  • Lead the design, development, validation and monitoring of credit risk & fraud models, tailored for the subprime lending sector.
  • Build, mentor, and manage a high-performing team of data scientists, quantitative analysts, and risk modelers.
  • Evaluate new data sources for potential use in models, strategies or other consumer insights.
  • Collaborate with underwriting, collections, compliance, and senior leadership to align models and data with business objectives.
  • Establish and maintain strong working relationships with partner banks, ensuring mutual understanding of risk policies and model standards.
  • Monitor and improve model performance over time through rigorous validation, backtesting and model governance.
  • Ensure compliance with regulatory standards and internal risk governance policies.
  • Monitor of industry trends, regulatory changes, and emerging best practices in credit risk modeling and data science.

Requirements

  • 10+ years of experience in credit risk modeling and data science within the lending industry, preferably in subprime or non-prime segments.
  • Proven leadership experience in building and managing analytics teams.
  • Ability to build and manage high functioning remote teams.
  • Strong expertise in statistical modeling, machine learning, and advanced analytics.
  • Familiarity with modern data platforms, Python, R, SQL, and cloud based analytic tools.
  • Deep understanding of credit risk frameworks, regulatory requirements (e.g., FDIC, CFPB, OCC), and model validation standards and governance.
  • Excellent communication skills, with the ability to explain complex concepts to non-technical stakeholders.
  • Strategic thinker with strong problem-solving and decision-making skills.