Financial Analyst IV - Finance/Risk Data Governance

Sponsorship is not available for this position. Candidates who require sponsorship now or in the future—including all F‑1 visa holders (CPT, OPT, and STEM OPT)—will not be considered for this role.

Primary Function

Conduct advanced Finance data governance research, analysis, and implementation activities with a high degree of independence, with a focus on Finance priority data use cases, including regulatory reporting. Partner with report owners, model owners, data stakeholders, technology teams, and other business partners to understand data and reporting requirements and implement applicable data governance requirements. Provide comprehensive advice and practical recommendations to senior management in support of strategic data management objectives. Monitor adherence to Finance and enterprise data policies and standards, support the development of governance artifacts and capabilities, and identify and coordinate appropriate follow-up on data-related risks and gaps.

• →Partner with report owners, model owners, data stakeholders, technology teams, and other business partners to develop an understanding of regulatory reporting requirements and the data necessary to support complete and accurate reporting, and to implement data governance requirements for Finance priority data use cases.
• →Conduct independent research and complex analytical projects involving the governance of Finance-identified priority data, including research into industry standards and pertinent government regulations.
• →Provide comprehensive advice and options to senior management on data governance matters and the achievement of strategic data management objectives.
• →Monitor adherence to Finance and enterprise data policies and standards and coordinate appropriate follow-up when gaps or risks are identified.
• →Support the development and maintenance of data governance artifacts, including business and technical metadata, data lineage, data classifications, governance procedures, and related documentation.
• →Build and maintain advanced data governance reporting, workflow, querying, visualization, and automation tools to improve transparency, efficiency, and decision-making.
• →Develop clear, concise written summaries of analytical work, governance conclusions, recommendations, and matters requiring management attention.
• →Demonstrate expert-level knowledge of data governance and Finance concepts, including an understanding of Finance priority data use cases and the key drivers and trends affecting their governance.
• →Design and lead projects of moderate scope and visibility, applying complex judgment and advanced analytical thought to develop practical, defensible recommendations.
• →Train, mentor, and develop junior team members. Share responsibility for team workload and achievement of department and project objectives, including volume, quality, and timeliness expectations.
• →Show accountability for the accuracy and quality of individual and team work products.
• →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 requiring escalation to management.
• →Maintain M&T internal control standards, including timely implementation of internal and external audit points and issues raised by external regulators, as applicable.
• →Promote an environment that supports belonging and reflects the M&T Bank brand.
• →Complete other related duties as assigned.

May have indirect supervisory responsibilities and may allocate work, provide work guidance, and train or mentor junior team members.

• Bachelor’s degree and a minimum of 5 years of relevant experience, or an associate degree and a minimum of 7 years of relevant experience in data governance, information systems, accounting, auditing, operations, or financial institutions.
• Intermediate knowledge of data management concepts, terminology, roles, and responsibilities.
• Proficiency with modeling, querying, visualization, reporting, and automation tools.
• Demonstrated ability to conduct complex research and analysis, draw valid conclusions, and communicate recommendations clearly.
• Strong written and verbal communication skills, sound judgment, and the ability to manage multiple projects and priorities.

• Advanced degree, such as an MBA, MS, or PhD, or a relevant professional certification, such as CPA, CFA, or CDMP.
• Experience developing or implementing data management or data governance policies, standards, procedures, or controls with limited oversight.
• Experience with metadata, lineage, data quality, issue management, data classification, or governance of regulatory reports and financial models.
• Ability to navigate and retrieve data from databases directly or through application programming interfaces, and experience with query languages in big-data or cloud environments.
• Knowledge of regulatory reporting concepts, or demonstrated ability to quickly develop an understanding of regulatory reports, their purpose, underlying data, and associated reporting requirements.