Risk Manager I (US)

Job Description

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

Required Skills