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Known global brand, metro location, and attractive ML role but specialized model-risk focus limits broad applicant pool.
Role requires model risk and credit-modeling expertise plus regulatory experience, making industry background highly important.
Explicit 7+ years requirement, regulatory/model-risk expertise, and specific tech stack make shortlisting highly strict.
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Lead and mentor the Model Risk Management team responsible for validating statistical and advanced AI models, ensuring professional growth and adherence to risk governance.
Manage multiple complex model validation projects from design to delivery, including hands-on validation and deep-dive analysis of model design, performance, and implementation.
Collaborate with global partners and stakeholders to develop and enhance model risk governance frameworks and ensure compliance with evolving regulatory requirements.
Master's degree in a quantitative field such as statistics, data science, computer science, mathematics, economics, or finance.
7+ years of industry experience in predictive modeling, data science, or related quantitative fields; experience in credit risk model development/validation preferred.
Strong experience with advanced forecasting analytics or advanced machine learning techniques including generative AI and agentic AI.
Experience managing teams with at least 3 years leading 6 or more direct reports; proficiency in SAS, SQL, R, Python, Scala, Spark, UNIX/Linux, and Google Cloud environments.
Experienced leader able to oversee and mentor a high-performing team in complex model validations involving AI and advanced analytics.
Skilled in both the technical and strategic aspects of model risk management with a focus on emerging technologies like generative and agentic AI.
Comfortable operating in a regulatory environment with strong collaboration across global and cross-functional teams to ensure adherence to governance and compliance standards.