The Risk Manager I manages the creation, implementation and validation of various risk segmentation strategies including, but not limited to: adjudication, account management, exposure management, risk segmentation, and financial return optimization. This job provides critical information, interpretative, and detailed analysis, and deploys critical credit risk rational strategies that ensure the decisions are made within the TD risk appetite and adhere to all governmental requirements and guidelines. The Risk Manager I's primary accountability is providing a comprehensive and diverse range of risk management expertise. The Risk Manager I investigates, creates, implements and validates various risk segmentation strategies and policies using complex data, advanced analytical approach, and business intelligence tools. Strategy The position is expected to have strong statistical and mathematical background with in-depth Auto Origination experience, thorough understanding of scorecard and statistical model mechanism in the context of usage in Auto Acquisition and Pricing Strategy, proficient in using Analytical software of SAS, R, Python, etc; The role is expected to work closely with stakeholders to support origination optimization design and implementation; evaluate and improve statistical models throughout origination process and pricing strategy; Validate and enhance strategy structure such as Credit Tier to meet business goals; quantify business impact upon strategy/statistical tool changes. 2. Alt. Data Exploration/Strategy Segmentation Enhancement The role is expected to have strong statistical and mathematical background with in-depth Auto Lending experience; thorough knowledge of Regression, Decision Trees, Clustering, Survival Analysis, GLM, machine learning, familiar with Bureau data attributes and tools such as Trans Union, Experian Sandbox (Premiers, Trended Data, Clarity, etc), advanced in using Analytical software of SAS,R, Python, etc; experience with dealing big data. The position is expected work with data vendors such as Credit bureaus to obtain and validate varieties of risk data, apply mathematical methodologies to explore opportunities of utilizing both traditional and alternative information on statistical tools/strategies for potential enhancement throughout credit life cycle; enhance origination strategy structure such as Credit Tier to help meet business goals; work closely with stakeholders and vendor to support origination optimization design and implementation.
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Job Type
Full-time
Career Level
Mid Level
Number of Employees
101-250 employees