Risk Manager II

This is a fully remote position, open to applicants in New Jersey, +1 more state.

📋 Description

• Oversee the development, execution, and validation of risk segmentation strategies.

• Assist in adjudication, exposure management, risk segmentation, and optimizing financial returns.

• Integrate extensive, varied datasets and utilize feature engineering to aid in model development and improvement.

• Create and refine scorecards and models throughout the credit life cycle, employing statistical methods and machine learning techniques.

• Manage the deployment of models across FICO Decision Engine, Python, and associated platforms.

• Collaborate with stakeholders on Model Risk Management due diligence and prompt issue resolution.

• Utilize statistical models and vendor data platforms to enhance acquisition and portfolio performance.

• Support downstream model applications and consolidate business impact analyses for model or strategy modifications.

• Convey key insights to management and present recommendations to senior leadership.

• Serve as the primary regulatory liaison on risk-related issues and requirements for a significant business segment.

• Evaluate and guide existing and new regulations.

• Engage cross-functionally with teams outside of the risk department.

• Represent the business in corporate initiatives while identifying key risks and their implications.

• Provide guidance in complex situations.

⛳️ Requirements

• Bachelor's degree is mandatory; graduate degree is preferred or equivalent progressive work experience in addition to the required experience.

• Minimum of 10 years of experience is essential.

• Strong foundation in statistics and mathematics, particularly in auto lending.

• Proficiency in logistic regression, decision trees, clustering, survival analysis, GLM, gradient boosting, scorecard development, reject inference, PD/LGD loss prediction, and machine learning.

• Practical analytics experience with bureau and alternative data sources.

• Familiarity with feature engineering and attribute aggregation.

• Advanced skills in SAS, R, Python, and other related analytical tools.

• Proficient in MS Office and analytical/reporting software on PC.

• Experience with relational databases and ETL processes using SQL or SAS.

• Basic understanding of SAS Enterprise Miner, FICO Model Builder, or Angoss Knowledge Seeker.

• Strong analytical and problem-solving capabilities.

• Ability to adapt to rapidly changing requirements.

• Exceptional attention to detail with the capacity to manage and prioritize tasks effectively.

• Proven track record of fostering productive business and peer relationships.

• Excellent written and verbal communication skills.

• Experience in developing and presenting recommendations to senior management.

• Occasional domestic travel required; no international travel expected.

🏝️ Benefits

• Variable compensation/incentive awards, including eligibility for cash and/or equity incentive awards.

• Comprehensive health and well-being benefits.

• Savings and retirement programs.

• Paid time off, including Vacation PTO, Flex PTO, and Holiday PTO.

• Banking benefits and discounts.

• Opportunities for career development.

• Recognition and rewards programs.

• Regular discussions on career development and performance.

• Access to an online learning platform.

• Mentoring programs available.

• Training and onboarding sessions provided.

• Flexible work arrangement, designated as remote.