Senior AI/ML Engineer

About this role

Location:

4224 Ridge Lea Road, Amherst New York

Job Summary
The Director, Quantitative Analysis leads a high-performing team responsible for developing, validating, and governing quantitative models and analytics that inform risk management, finance, and compliance decisions. This role sets the strategy and execution roadmap for model development, testing, and monitoring across areas such as credit risk, capital and balance sheet management, forecasting, and fair and responsible banking. The leader partners with stakeholders across Finance, Risk, Model Risk Management, Technology, Audit, and Compliance, ensuring high-quality, "executive-ready" deliverables and strong alignment with regulatory expectations and internal standards.

Essential Functions

• Lead the end-to-end lifecycle of quantitative models (design, development, validation, implementation, monitoring) aligned to enterprise standards and regulatory expectations.
• Oversee compliance testing and analytics for fair and responsible banking (e.g., fair lending, UDAAP, CRA) using sound statistical methodologies.
• Establish and maintain modeling standards, documentation, controls, and governance practices in partnership with risk partners.
• Build, coach, and develop a team of quantitative analysts; set priorities and ensure timely, high-quality outputs.
• Provide strategic consultation and thought leadership to senior leaders; translate complex analytics into clear, actionable insights.
• Drive process improvements, identify control gaps, and implement efficiencies across modeling and analytics workflows.
• Coordinate responses to audits, exams, and internal reviews; serve as a subject matter expert to internal stakeholders and external parties.
• Monitor emerging techniques, tools, and industry trends (e.g., machine learning/AI); assess applicability and integrate where appropriate.
• Promote collaboration across Finance, Risk, and Compliance; influence cross-functional policies and dec...