US - IT - Data Modeler II

Data Modeler Alternate Job Titles: Data Analytics Engineer • Risk Data Modeler • Predictive Modeling Analyst • Credit Risk Data Scientist Location: Portland,ME Onsite Flexibility: Remote (U.S. only)Contract Details • Position Type: Contract (FTE conversion possible) • Contract Duration: 12 months • Start Date: ASAP • End Date: ~09/2026 • Pay Rate: $50-$62/hour • Shift/Hours: Monday-Friday, Core Business Hours; OT as needed Job SummaryWe are seeking a Data Modeler to support new stress testing requirements within the Risk Model Development team. This role involves validating and compiling datasets related to retail products, building dashboards to track credit losses and risk drivers, and applying advanced statistical and machine learning techniques to drive insights. The successful candidate will deliver impactful stress test results (DFAST, MST, EWST), contribute to regulatory reporting, and provide innovative data solutions for key stakeholders.Key Responsibilities • Validate, compile, and analyze large credit risk datasets across multiple retail products. • Build dashboards highlighting credit loss trends and risk drivers. • Apply predictive modeling, scorecard development, and machine learning algorithms to support stress testing deliverables. • Partner with Model Validation, Model Risk Management, and Retail Risk Management teams to ensure compliance with policies. • Support documentation, methodology development, and committee reporting. • Provide decision support and analytical insights for product portfolio risk management. • Continuously research and apply industry best practices in credit risk and predictive modeling. Required Experience • 5+ years’ experience in data modeling, predictive analytics, or risk modeling. • Strong knowledge of industry-standard predictive modeling and machine learning algorithms. • Proficiency in SAS, Python/R, Scala, Spark or similar tools. • Proven ability to quickly learn, solve problems independently, and deliver high-quality results. Preferred Experience • Background in banking or financial services. • Experience with credit risk modeling. • Familiarity with Tableau for reporting and visualization. • Additional experience with SAS highly valued. Required Skills • Advanced data mining and statistical modeling. • Strong programming and data manipulation capabilities. • Excellent problem-solving and analytical thinking. • Clear communication and ability to explain complex data insights. Soft Skills • Collaborative, can-do attitude. • Strong team player in a fast-paced, agile environment. • Ability to manage multiple priorities effectively. Benefits • Medical, Vision, and Dental Insurance Plans • 401k Retirement Fund About the ClientA top 10 bank in Canada and North America, providing retail, commercial, wealth management, and wholesale banking solutions. The bank’s mission is to help clients thrive in today’s evolving financial markets through innovation, risk management, and customer-first service.About GTTGTT 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 value diversity, inclusion, and equal opportunity. Our clients include Fortune 500 financial services, insurance, technology, biotech, life sciences, and retail organizations across North America.Job Number: 25-25188