Cashflow Modelling Associate The Yield Book team in Buffalo, NY is looking to hire a cashflow modelling associate to model Residential Mortgage Backed Securities (RMBS, agency and non-agency) and Asset Backed Securities (ABS). We are looking
Pricing Analytics Analyst The Pricing Analytics Analyst supports the development and execution of pricing strategies for Commercial Payments and Liquidity solutions. This role combines analytics, commercial banking knowledge, and product management practices to drive revenue growth,
Model Risk Analyst Validation Perform independent validation review of complex financial statistical models with primary focus on Treasury models (including interest rates sensitive, interest rates and currency derivatives models), as well as Fair Lending and general
Quantitative Risk Management Expert Work Arrangement/Location: This is a hybrid position requiring in-office work three days every week. Ideally the position will be based in Buffalo, NY but may be in an M&T office in Buffalo,
Hybrid Quantitative Risk Management Position This is a hybrid position requiring in-office work three days every week. Ideally the position will be based in Buffalo, NY but may be in an M&T office in Buffalo, NY,
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 possibly
Essential Duties and Responsibilities: - Design and build customer experience and conversational AI solutions, including dialog flows, API integrations and AI agent orchestrations. - Develop and maintain technical integrations between solutions and Maximus technologies such as
Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side with
Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side with