Lead Model Risk Management Analyst

We are seeking a Lead Model Risk Management Analyst to provide critical oversight and guidance on the development and modification of analytical models used across the customer credit lifecycle, from marketing to collections. This role involves closely partnering with data science teams, ensuring adherence to leading model risk management practices, and contributing to the integrity and effectiveness of our modeling frameworks. This is a net new position, indicating growth and an exciting opportunity for impact.

This position requires the ability to work in a hybrid onsite capacity in either Wilmington, DE or Baltimore, MD.

This is a full time, permanent position offering standard benefits.

• Provide model governance oversight in the development of new models or modifications to existing models used across the customer credit lifecycle, i.e., marketing through collections. Closely partner with the data science team and provide guidance on leading model risk management practices.
• Provide model governance oversight over CECL and loss models and write model governance reports for distribution to audit agencies. Have good familiarity with CECL standards as published by The Financial Accounting Standards Board (FASB).
• Perform independent challenges of models and identify model weaknesses and opportunities for improvement.
• Ensure that modeling specifications and constructs adhere to defined mathematical and statistical standards.
• Ensure that model monitoring is performed on a periodic basis and evaluate whether validations and other reviews performed by the model governance team, business, or third parties follow the requirements set forth in the internal Model Risk Management Policy.
• Use analytics, business rules, and/or other risk tools and techniques to detect model behaviors and risk factors that may indicate activity that warrants further investigation or action.
• Prepare and distribute regular MIS reporting concerning risk monitoring activities. Effectively communicate outcomes of model risk management to various forums both internal and external to the organization.
• Evaluate the program for effectiveness and consistency with regulatory expectations and industry leading practices.
• Periodically assess models and business strategies for Fair Lending risk by developing and/or enhancing a quantitative Fair Lending framework across different products. Assess new statistical techniques for identifying Fair Lending risk (disparate impact/treatment) that is both intuitive and statistically sound to measure up to regulator scrutiny.

Requirements/Must-Haves

• PhD or Master's degree in a quantitative field such as Mathematics, Physics, Finance/Economics, Computer Science, or Statistics (PhD preferred).
• 10 years' progressive experience in the consumer credit industry.
• 7 years of progressive experience in Model Risk Management, including 3+ years as a manager of direct reports, within the Banking or Financial Services industry.
• Advanced knowledge of statistical and machine learning methods, techniques, formulas, and tests.
• Solid knowledge of key econometric and statistical techniques (e.g., predictive modeling, various regressions, decision trees, and data mining methods).
• Strong technical background in Machine Learning models, specifically tree-based models like XGBoost.
• Strong analytical, data, problem-solving, and decision-making skills with high attention to detail and accuracy.
• Proficient in SQL and Python.
• Excellent verbal, written, and interpersonal communication skills.
• Excellent organizational skills with the ability to prioritize and organize work to meet deadlines.

• Model Risk Management (MRM)
• Consumer Credit Industry Experience
• SQL
• Python
• Statistical Modeling
• Machine Learning (XGBoost)
• CECL Standards
• Fair Lending Risk Assessment
• Data Analysis
• Predictive Modeling
• Quantitative Analysis
• Regulatory Compliance
• Financial Services Industry
• Communication Skills
• Leadership/Management

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact

Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).

This posting is open for thirty (30) days.