Applied Research Lead, Model Scaling
RunwayFull Time
Junior (1 to 2 years)
Candidates should possess a Bachelor's degree in Statistics, Mathematics, Computer Science, Engineering, Finance, or a related field, with a Master's degree or PhD being preferred. A minimum of 6-8 years of experience in model risk management, model development, or a related quantitative field is required. Experience with AML and sanctions models, including transaction monitoring, customer risk scoring, and sanctions screening, is essential. Familiarity with regulatory expectations such as SR 11-7, BSA/AML, OFAC, FATF, and FinCEN is necessary. Knowledge of emerging modeling techniques like behavioral analytics and machine learning is also expected.
The Senior Model Risk Manager will lead the validation, monitoring, and governance of rule-based detection models, data pipelines, vendor models, and ML/AI models. Responsibilities include performing independent model validation, assessing model methodologies, data integrity, assumptions, implementation, and output. The role involves supporting monitoring plans for model performance, leading periodic model reviews, and tracking model inventory and issue remediation. Additionally, the manager will recommend risk mitigation strategies, participate in issue tracking and remediation validation, and prepare model validation reports for stakeholders. They will also partner with compliance and legal teams to ensure model alignment with regulatory standards and champion model risk management principles across the organization.
Banking services for startups and founders
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