Risk Manager II (US)

TD • Southfield, MI

5d • $115,440 - $173,160

About The Position

The Risk Manager II manages the creation, implementation, and validation of risk segmentation strategies, including adjudication, exposure management, risk segmentation, and financial return optimization. The role requires a strong statistical and mathematical background, auto lending experience, and advanced analytical expertise across statistical modeling and machine learning.

The position integrates large and diverse datasets, engineers features, and identifies trends to develop and enhance credit life-cycle scorecards and models. It coordinates deployment across FICO Decision Engine, Python, and related platforms; partners with stakeholders on Model Risk Management due diligence and issue resolution; and uses statistical models and vendor data platforms to improve acquisition and portfolio performance. The role also supports downstream model use, consolidates business impact analyses for model or strategy changes, and communicates findings to management.

At the enterprise or group business level, the Risk Manager II acts as the primary regulatory interface for risk matters affecting a key business segment, assesses regulations, and provides direction. The role works cross-functionally beyond Risk, represents the business on corporate initiatives, identifies key risks and implications, and provides direction in complex situations. The position performs the functions of a Risk Manager I as well.

The role is based in Southfield, Michigan. The stated work week is 40 hours. Domestic travel is occasional; international travel is never. The role involves continuous sedentary work, multitasking, standard office equipment use, sitting, concentration, reading, writing, comprehension, and basic arithmetic. Other physical activities and their stated frequency are detailed in the posting.

Requirements

• Bachelor's degree required.
• 10+ years of experience required.
• Strong statistical and mathematical background with auto lending experience.
• Expertise in logistic regression, decision trees, clustering, survival analysis, GLM, gradient boosting, scorecard development, reject inference, PD/LGD loss prediction, and machine learning.
• Hands-on analytics experience with bureau and alternative data sources, including knowledge of feature engineering and attribute aggregation.
• Advanced proficiency in SAS, R, Python, and related analytical tools.
• Proficient PC skills in MS Office and a variety of PC-based analytical and reporting software packages.
• Experience with relational databases and ETL using common languages such as SQL or SAS.
• Working knowledge of SAS Enterprise Miner, FICO Model Builder, or Angoss Knowledge Seeker.
• Strong analytical and problem-solving skills to interpret data and draw conclusions.
• Flexibility to adapt to rapidly changing requirements.
• Extremely strong attention to detail and ability to manage and prioritize a range of tasks.
• Proven ability to develop and maintain productive business and peer relationships.
• Excellent written and verbal communication skills.
• Experience developing and presenting recommendations to Senior Management.

Nice To Haves

• Graduate degree preferred.
• Progressive work experience in addition to the stated experience requirements.

Responsibilities

• Manage the creation, implementation, and validation of risk segmentation strategies, including adjudication, exposure management, and financial return optimization.
• Integrate large, diverse datasets, apply feature engineering, and identify trends and patterns to support model development and enhancement.
• Develop and enhance scorecards and models throughout the credit life cycle using statistical methodologies and machine learning techniques.
• Coordinate model deployment across FICO Decision Engine, Python, and related platforms.
• Partner with stakeholders on Model Risk Management due diligence and timely issue resolution.
• Use statistical models and vendor data platforms to improve acquisition and portfolio performance.
• Support downstream use of models, consolidate business impact analyses related to model or strategy changes, and communicate key findings to management.
• Serve as the primary regulatory interface on risk issues and requirements for a key business segment; assess existing and new regulations and provide direction.
• Interface cross-functionally with teams beyond Risk and represent the business on corporate initiatives.
• Identify key risks and implications and provide direction in complex situations.
• Perform functions noted for Risk Manager I.

Benefits

• Health and well-being benefits
• Savings and retirement programs
• Paid time off, including Vacation PTO, Flex PTO, and Holiday PTO
• Banking benefits and discounts
• Career development
• Reward and recognition
• Training programs
• Mentoring programs
• Base salary and variable compensation/incentive awards, including potential eligibility for cash and/or equity incentive awards

What This Job Offers

• Job Type: Full-time
• Career Level: Senior