Data Scientist III - Enterprise Risk (Hybrid - Buffalo, NY)

M&T Bank•Buffalo, NY

1d•$85,800 - $143,000•Hybrid

About The Position

The Data Scientist on the Enterprise Risk Reporting team helps turn complex risk and compliance data into clear, reliable insights used by senior leaders, regulators, and business partners across the organization. This role focuses on building and maintaining analytical datasets, automated reports, and data models that support enterprise‑level risk reporting, governance, and decision‑making. This position is well‑suited for candidates with a strong background in reporting, analytics, or business intelligence who are interested in applying data science skills in a regulated, business‑critical environment. What Success Looks Like in this Role: Reports are accurate, well‑documented, and trusted by leadership and stakeholders Manual reporting processes are streamlined or automated Data issues are identified early and resolved proactively Business partners clearly understand the story the data is telling Reporting solutions are scalable, repeatable, and resilient

Requirements

Bachelor’s degree and a minimum of 3 years related experience, or in lieu of a degree, a combined minimum of 7 years higher education and/ or work experience, including a minimum of 3 years related experience in Analytics, Data Science, Information Systems, Finance, Business, or a related field
Experience in analytics, reporting, business intelligence, or data analysis roles
Strong experience working with data sets using SQL and/or similar querying tools
Experience building or maintaining reporting solutions (e.g., dashboards, automated reports, or analytics tools)
Ability to explain data findings clearly to non‑technical partners
Strong attention to detail and comfort working in structured, process‑driven environments
Experience validating data and ensuring accuracy before results are shared

Nice To Haves

Experience in risk management, compliance, audit, finance, or regulated industries (e.g., banking, insurance, or financial services)
Experience with modern reporting and analytics tools such as Power BI, Tableau, or similar platforms
Familiarity with data pipelines, dataflows, or automated reporting processes
Experience working with large enterprise data environments or centralized data platforms
Exposure to data modeling, forecasting, or trend analysis
Comfort documenting processes, calculations, and reporting logic for audit or governance purposes
Experience supporting executive‑level or regulatory reporting

Responsibilities

Build and maintain analytical datasets used for enterprise risk, compliance, and regulatory reporting
Develop, test, and validate data models, calculations, and logic to ensure accurate and consistent reporting
Design and enhance dashboards, reports, and automated deliverables used by leadership, risk committees, and regulators
Work with large, complex data sources to identify trends, exceptions, and emerging risks
Partner with business, risk, and technology teams to understand reporting needs and translate them into data solutions
Support the automation of manual reporting processes to improve efficiency, accuracy, and timeliness
Perform data quality checks and investigate discrepancies to ensure reporting is reliable and audit‑ready
Document data logic, report definitions, and processes so reporting can be easily understood and maintained
Understand and adhere to the Company’s risk and regulatory standards, policies and controls in accordance with the Company’s Risk Appetite.
Identify risk-related issues needing escalation to management.
Promote an environment that supports belonging and reflects the M&T Bank brand.
Maintain M&T internal control standards, including timely implementation of internal and external audit points together with any issues raised by external regulators as applicable.
Complete other related duties as assigned.