Data Modeler

Primary Job Title: Data Modeler Alternate/Related Job Titles: Predictive Modeling Specialist Risk Data Scientist Credit Risk Modeler Machine Learning Data Analyst Statistical Data Engineer Location: Charlotte, NC Onsite Flexibility: Hybrid (2 days onsite; 4 days as of Nov 3rd) Contract Details: • Position Type: Contract • Contract Duration: ~13.5 months • Start: 09/15/2025 • End: 10/30/2026 • Shift/Hours: Mon-Fri, Core Business Hours Job Summary: The Data Modeler will validate and compile datasets related to retail products and build dashboards to highlight trends in expected credit losses and risk drivers. This role requires expertise in predictive modeling, machine learning, and statistical analysis to deliver innovative solutions for effective risk management. The Data Modeler will work closely with risk management, finance, model validation, and technology teams to ensure models comply with internal policies and regulatory requirements.Key Responsibilities: • Validate, compile, and analyze retail product datasets for credit risk reporting. • Build dashboards to highlight credit risk drivers and expected credit loss trends. • Apply scorecard models, machine learning, and statistical tools for predictive modeling. • Partner with Retail Risk Management and product teams to support portfolio risk management. • Assist with the validation of internally and externally developed models. • Perform data extraction, manipulation, and analysis for model review. • Document methodologies, analysis, and regulatory compliance processes. • Contribute to model approval processes and ensure adherence to Model Risk Policy. • Provide statistical modeling, segmentation, and decision support for lending units. • Stay up to date with industry trends in credit scoring, risk modeling, and AI/ML applications. Required Experience: • 5+ years of relevant professional experience. • Expertise in predictive modeling, including machine learning algorithms. • Strong background in SAS, Python/R, Scala, Spark, or similar tools for statistical analysis. • Bachelor’s degree in Statistics, Mathematics, Computer Science, Econometrics, or related quantitative discipline. • Strong problem-solving skills and ability to work independently. Nice-to-Have Experience: • Proficiency with dashboard-building tools such as Tableau. • Advanced degree (MSc, PhD) in a quantitative field. Required Skills: • Predictive modeling & machine learning • SAS, Python, R, Scala, Spark programming • Statistical data analysis & data mining Preferred Skills: • Dashboard development (Tableau) • Model risk validation and documentation • Cross-functional collaboration and stakeholder communication Additional Skills: • Strong attention to detail and analytical accuracy • Ability to present findings and translate technical results into business insights • Knowledge of lending, behavior scoring, and portfolio management Benefits: • Medical, Vision, and Dental Insurance Plans • 401k Retirement Fund About the Client: Top 10 banks in Canada and North America offering comprehensive financial solutions. Providing retail, commercial, wealth management, and wholesale banking services, we help clients thrive in today’s evolving market.About GTT: GTT is a minority-owned staffing firm and a subsidiary of Chenega Corporation, a Native American-owned company in Alaska. As a Native American-owned, economically disadvantaged corporation, we highly value diverse and inclusive workplaces. Our clients are Fortune 500 banking, insurance, financial services, and technology companies, along with some of the nation’s largest life sciences, biotech, utility, and retail companies across the US and Canada. We look forward to helping you land your next great career opportunity!Job Number: 25-25028