The Finance Business Execution team sits within the Enterprise Productivity & Efficiency organization. Our mission is to serve as a trusted partner across Finance disciplines to drive transparency and accountability of Finances strategy. Specifically, this role
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
At Epiq, your work contributes to complex, global legal outcomes. You’ll join a values‑driven community where integrity guides decisions, relentless service sets the bar, and we thrive on big challenges together. We invest in your growth
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,
Logistics Operations Specialist Join a team that nourishes life from farm to table! Upstate Niagara Cooperative, proudly owned by 200+ local family farms, is one of Americas largest and most stable dairy cooperatives. Guided by farmer-
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
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