Technical Business Analyst (contract)

Title: Technical Business Analyst Location: Charlotte, NC Alternate Location: 600 S 4th St Minneapolis, MN Duration: 6 months Work Engagement: W2 Work Schedule: 4 days in office/1 day remote Benefits on offer for this contract position: Health Insurance, Life insurance, 401K and Voluntary Benefits Summary: We are seeking an experienced Analytics Consultant to join the Financial Crimes Analytics and Monitoring Solutions (FCAMS) team. This role is critical in developing and maintaining advanced quantitative and qualitative models that detect unusual transaction patterns and support Anti Money Laundering (AML) compliance. The successful candidate will own the end-to-end model lifecycle, ensuring accuracy, regulatory alignment, and continuous improvement. Responsibilities: • Lead the end‑to‑end development, validation, implementation, and performance monitoring of AML transaction monitoring models. • Evaluate model inputs, outputs, and assumptions to ensure appropriate functionality and adherence to regulatory requirements. • Develop, maintain, and enhance comprehensive model documentation to support audit, governance, and regulatory review processes. • Partner with compliance, risk management, technology, and business teams to optimize model performance and address emerging financial crime risks. • Drive model innovation by leveraging big data platforms and advanced analytics techniques. • Provide subject matter expertise on AML transaction monitoring strategies and model risk management frameworks. Qualifications: • Applicants must be authorized to work for ANY employer in the U.S. This position is not eligible for visa sponsorship. • Extensive experience in analytics, model development, or related roles within financial services, risk management, or a comparable discipline. • Demonstrated experience serving as a model owner or model developer for AML or financial crimes detection models. • Strong proficiency in SQL and Python for data analysis, model development, and automation. • Experience working with big data tools and large-scale financial institution datasets, including high‑volume, complex transaction, customer, and product data. • Exceptional verbal, written, and interpersonal communication skills, with the ability to clearly articulate complex issues, risks, and recommendations to stakeholders at all levels. • Knowledge of AML transaction monitoring practices and regulatory obligations (e.g., BSA, USA PATRIOT Act) preferred. • Familiarity with Oracle platforms preferred. • Bachelor’s degree in a quantitative field (Statistics, Mathematics, Computer Science, Economics, or related disciplines); an advanced degree is preferred.