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
Enterprise Architect Financial Crime & Fraud Prevention Buffalo, NY (3 days onsite/2 days remote) / Remote (Will be expected to travel to Buffalo, NY every 4-6 weeks with Monday through Thursday in office) 6+-month contract to
Advanced Data And Credit Risk Analyst Perform advanced data and credit risk analysis to identify and quantify risks in M&Ts $19B Indirect lending portfolios. Support unit in data analysis, portfolio deep dives, and loss estimation activities.
Internship Opportunity At Perrys Ice Cream Perrys Ice Cream is seeking a highly motivated intern to support the digitization and modernization of manufacturing and supply chain planning processes. This role will work directly with Operations, Supply
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,
Analyst Position at Thomson Reuters Special Services Are you passionate about the chance to bring your analysis experience to a world class organization that is leading the way in both content and technology to serve and
Electrical Engineer, Buffalo NY We are seeking a talented and motivated Electrical Engineer to join our team. This role involves component selection, hardware design, electrical layout, and supporting the development of new products. You will provide
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
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