
Credit Review Data Steward Lead
Buffalo, NYJob$124–206K/yrSeen todaySeen in employer's feed today
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Job overview
Leads M&T Bank’s Credit Review data and analytics function, owning the analytical framework for risk assessment, review planning, portfolio monitoring, sampling, and executive reporting. The role coordinates data governance and quality efforts across business and technology partners, and develops the team’s approach to AI capabilities. It also manages staff and serves as a liaison with Enterprise Data, Technology, Risk, and Finance.
Skills & qualifications
Skills
Qualifications
Full job description
OVERVIEW:
Leads the Credit Review Data and Analytics function with the Credit Review Professional Practices team, serving as the department's expert in portfolio analytics, data architecture, reporting, sampling methodologies, and emerging Artificial Intelligence (AI) capabilities. Owns the analytical framework used to support the portfolio Risk Assessment process, review universe development, Reviewable Entity definition, sample selection, portfolio monitoring, and executive reporting. Acts as the liaison between Credit Review and Enterprise Data, Technology, Risk, and Finance organizations. Uses expert knowledge to ensure that Credit Review data documentation and quality satisfies business needs in collaboration with other domain and product stakeholders. Coordinates efforts spanning multiple domains to maintain and improve data quality through issue identification, management and remediation.
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POSITION RESPONSIBILITIES:
Credit Review Portfolio Analytics
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Develop and maintain the Credit Review team’s review and Reviewable Entity universe.
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Translate commercial and consumer loan portfolio data into Reviewable Entities.
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Create methodologies for portfolio segmentation and risk stratification.
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Develop and maintain portfolio monitoring metrics.
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Support the portfolio Risk Assessment process and review planning.
Data Acquisition & Governance
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Establish repeatable processes for extracting data from M&T platforms.
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Validate data quality and completeness.
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Maintain data lineage documentation.
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Manage relationships with data owners and technology teams.
Statistical Sampling
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Design statistically valid sampling approaches.
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Develop risk-based and judgmental sampling frameworks.
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Optimize sample sizes while maintaining appropriate coverage.
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Support examiner and audit requests regarding sample methodology.
Executive Reporting
Build and oversee dashboards for delinquencies, defaults, charge-offs, Criticized/Classified assets, risk ratings, Watchlist credits, policy exceptions, review testing deviation and Findings, and review plan execution.
Artificial Intelligence Strategy
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Identify AI use cases within Credit Review.
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Evaluate Generative AI and predictive analytic solutions.
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Partner with Model Risk and Technology.
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Develop controls and governance around AI deployment.
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Pilot AI solutions involving credit memo analysis, review planning, sample selection, Findings summarization, risk trend identification, etc.
Complete other related duties as assigned.
NATURE AND SCOPE:
To be completed with job posting
MANAGERIAL/SUPERVISORY RESPONSIBILITY:
Number of Staff: 5-8
MINIMUM QUALIFICATIONS REQUIRED:
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Bachelor’s degree and a minimum of 7 years related experience, or in lieu of a degree, a combined minimum of 11 years higher education and/ or work experience, including a minimum of 7 years related experience
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Minimum of 2 years’ managerial, supervisory, and/or work leadership experience
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Expert ability to pull data from Structured Query Language (SQL) platforms
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Proven ability to close data issues
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Experience owning the business relationship to get complex business requirements and translate those into tech requirements for engineers
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Experience setting the user acceptance test parameters to ensure conformity to business objectives
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Knowledge of data management
IDEAL QUALIFICATIONS PREFERRED:
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Credit Risk Management or Credit Review experience
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In-depth knowledge of and familiarity with data management, analysis, and warehousing products, systems and workflows (Python, Power BI, Alteryx, etc.)
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Experience using Data Governance Tools and with data warehousing concepts
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Experience leading the remediation of complex data issues
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Strong understanding of statistical sampling methodologies and statistical analysis techniques and tools
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Strong understanding of AI, Generative AI, and Machine Learning applications and capabilities
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Excellent prompt engineering skills
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Familiarity with Application Programming Interface (API) integrations
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Portfolio analytics experience
PHYSICAL REQUIREMENTS:
M&T Bank is committed to fair, competitive, and market-informed pay for our employees. The pay range for this position is $123,600.00 - $206,000.00 Annual (USD). The successful candidate’s particular combination of knowledge, skills, and experience will inform their specific compensation.
Location
Buffalo, New York, United States of America
M&T Bank Corporation is an Equal Opportunity/Affirmative Action Employer, including disabilities and veterans.
How this job compares
Set against the 2,427 open Data Analytics jobs on Olive Jobs, counted November 5, 2026.
- Pay
- This posting$124–206K/yr
- New York median$125–180K/yr174 salary ranges
- US median$116–195K/yr1,674 salary ranges
This range's midpoint, $165K, is 6% above the New York median midpoint ($155K) — in the middle half of Data Analytics salary ranges in New York.
- Openings
- Olive Jobs lists 256 open Data Analytics jobs in New York and 2,427 across the US. 5% of them nationwide are listed as remote or flexible.
- Hiring the most in New York
- JPMorgan Chase18 open
- PwC16 open
- Deloitte11 open
- Experience
- This posting asks for at least 7 years of experience; Data Analytics postings that state a minimum ask for 5 years at the median (1,900 postings).
- Education
- 1,173 of the 2,427 open Data Analytics jobs (48%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 5, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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