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, which include adjudication, exposure management, risk segmentation, and optimizing financial returns.

• Consolidate large and diverse datasets, apply feature engineering, and discern trends and patterns for the purpose of model development and enhancement.

• Create and refine scorecards and models throughout the credit life cycle utilizing statistical methodologies and machine learning techniques.

• Facilitate model deployment across platforms such as FICO Decision Engine, Python, and others.

• Collaborate with stakeholders on Model Risk Management due diligence and ensure timely resolution of issues.

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

• Assist in the downstream application of models.

• Aggregate business impact analyses concerning changes in models or strategies.

• Relay key findings to the management team.

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

• Evaluate and provide guidance on existing and new regulations.

• Collaborate across functions with teams outside of risk.

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

• Offer guidance in complex situations.

• Engage in occasional domestic travel and maintain a continuous sedentary role involving multitasking, office equipment usage, concentration, reading, writing, and calculation activities.

⛳️ Requirements

• A bachelor's degree is mandatory; a graduate degree is preferred or equivalent progressive work experience in addition to the experience outlined below.

• At least 10 years of relevant experience is required.

• Experience in auto lending is essential.

• Strong foundation in statistics and mathematics.

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

• Practical analytics experience with both 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 PC-based analytical and reporting software.

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

• Working knowledge of SAS Enterprise Miner, FICO Model Builder, or Angoss Knowledge Seeker.

• Strong analytical and problem-solving capabilities.

• Ability to adapt to changing requirements with flexibility.

• Excellent attention to detail and a capacity to prioritize tasks effectively.

• Capability to cultivate and maintain productive relationships with business peers.

• Exceptional written and verbal communication skills.

• Experience in developing and delivering recommendations to senior management.

• Willingness to undertake occasional domestic travel.

🏝️ Benefits

• Competitive base salary ranging from $115,440 to $173,160 USD.

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

• Comprehensive health and well-being benefits.

• Savings and retirement programs.

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

• Banking benefits and discounts.

• Opportunities for career development.

• Recognition and reward programs.

• Regular discussions regarding career development and performance with management.

• Access to an online learning platform.

• Mentoring programs available.

• Training and onboarding sessions provided.

• Competitive benefits package.

• A respectful and inclusive workplace environment.

• Support for accommodations for applicants with disabilities.