job summary: Seeking an experienced Analytics Manager to lead model governance oversight within a dynamic, data-driven environment. In this role, you will play a critical part in ensuring the integrity, accuracy, and compliance of predictive models across the entire customer credit lifecycle-from marketing to servicing. Partner closely with data science and risk teams to enforce best practices in model risk management, driving continuous improvement and innovation. location: Charlotte, North Carolina job type: Permanent salary: $100,000 - 140,000 per year work hours: 8am to 5pm education: Masters responsibilities: Lead hands-on governance of new and existing credit risk models, ensuring adherence to rigorous mathematical, statistical, and regulatory standards. Collaborate with data scientists to review and challenge modeling approaches, including model design, validation, performance metrics, and parameter tuning. Independently assess models for weaknesses and opportunities, providing actionable insights and recommendations. Develop challenger models to test and enhance predictive performance where applicable. Conduct regular model validations and ensure compliance with internal policies and external regulations. Utilize advanced analytics, business rules, and risk detection tools to monitor model behavior and identify potential risks. Prepare and deliver clear, impactful reports and presentations on model risk management activities to technical and non-technical stakeholders. qualifications: Master's degree in Statistics, Mathematics, Data Science, Computer Science, or a related quantitative field. Minimum 5 years' experience in the consumer credit industry, with at least 3 years focused on model risk management. Deep expertise in statistical and machine learning methods including predictive modeling, regressions, decision trees, and data mining. Proven applied knowledge of machine learning models, particularly tree-based algorithms such as XGBoost. Familiarity with emerging technologies, including Large Language Models (LLMs), is a plus. Strong proficiency in SQL, Python, and Microsoft Office suite. Exceptional analytical, problem-solving, and decision-making skills with keen attention to detail. Excellent communication skills, capable of articulating complex technical concepts to diverse audiences. Demonstrated ability to generate innovative ideas and contribute to research and development efforts. skills: Benefits Summary Opportunity to work on impactful projects influencing key risk decisions Collaborative, innovative team environment with strong focus on professional growth Exposure to advanced machine learning techniques and emerging technologies Flexible work arrangements to support work-life balance Competitive compensation and comprehensive benefits package 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 HRsupport@randstadusa.com. 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.