Risk Manager I (US)

About the role

Work Location: Southfield, Michigan, United States of America Hours: 40 Pay Details: $91,000 - $136,000 USD TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs. As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role. Line of Business: Risk Management Job Description: 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. Depth & Scope: Demonstrates governance, control and risk management behaviors in alignment with TD policies and practices Leads/participates in the identification, development and implementation of new initiatives, operating workflow, additional services/applications or operational efficiencies including potentially leading special project teams or cross functional work groups Assists with developing and enhancing credit risk assessment capabilities to identify and maintain good business opportunities with new and existing clients Performs detailed analysis and interprets information to make recommendations to Senior Management on critical strategies including non-standard and ad-hoc requests as determined by management Creates reports on the results of implemented strategies, using all appropriate quantitative methods and MIS, and makes recommendations to increase efficiencies and revenue while managing credit risk and produce those reports on a regular basis Effectively works cross-functionally with teams outside of risk Works with Internal Audit / External Regulators, to ensure that documentation for all work processes is complete and up-to-date Ensures sound credit control by taking a pro-active approach to risk management within the risk guidelines of the Bank Ensures the timely communication of issues that are relevant to the team and encourages a good working relationship with other internal and external groups Education & Experience: Bachelor's degree required; Graduate degree preferred 5+ years' experience required Proficient PC skills including a

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