Work Location/Arrangement: This is a hybrid position requiring in-office work four days every week. Ideally, it will be based in Bridgeport, CT but it may be based in Buffalo, NY, Baltimore, MD, Washington, DC, Wilmington, DE,
Manager, Commercial Scorecard & Risk Rating Modeling This is a hybrid position requiring in-office work four days every week. Depending upon the location of the final candidate, there might be potential for remote work. The Manager,
Hybrid Quantitative Behavioral Model Analyst Assists in development and analysis of quantitative/econometric behavioral models used for credit risk, interest rate risk and liquidity risk management, as well as balance sheet and capital planning. Supports more experienced
Hybrid Quantitative Behavioral Modeling Analyst Work Location/Arrangement: This is a hybrid position requiring in-office work four (4) days every week at an M&T office in Buffalo, NY, Bridgeport, CT, Wilmington, DE, Baltimore, MD, Washington, DC, or
Essential Duties and Responsibilities: - Perform analysis and review of system requirements, estimations, peer reviews, test data determination and preparation, designing test strategy and test cases, executing test cases, and monitoring and control of overall test
Essential Duties and Responsibilities: - Responsible for leading the AI & Data Accelerators enterprise portfolio, managing engagements in terms of scope, deliverables, budget, and enterprise commitments. - Develop end-to-end process improvement strategy and manage execution of
Essential Duties and Responsibilities: - Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners. - Function as point of contact for data and analytical usage
Maximus TCS (Technology and Consulting Services) Internal Job Profile Code: TCS195, T3, Band 6 Job-Specific Essential Duties and Responsibilities: - Designs, develops, trains, evaluates, and integrates AI/ML models and algorithms supporting Government operational systems - Prepares