Ruth Onokoko

Risk Data Management and Analytics professional with 7+ years of experience across financial services, data governance, quantitative analytics, regulatory reporting, and technology. Experienced leveraging SQL, Python, SAS, Collibra, and reporting tools to analyze complex datasets, improve data quality, support model monitoring activities, and deliver insights for business and risk stakeholders.

Associate, Risk Data Management at SMBC Group (2026-01 – 2026-06)

• Supported enterprise risk data management initiatives focused on data governance, data quality, and regulatory reporting.
• Utilized Collibra to maintain metadata, lineage, business glossaries, and governance documentation.
• Analyzed enterprise data assets to identify quality issues, trends, and improvement opportunities.
• Collaborated with data owners, stewards, technology teams, and business stakeholders.

Quantitative Analyst at M&T Bank (2023-10 – 2026-01)

• Supported credit risk analytics, CECL, CCAR, PD/LGD model monitoring, and performance reporting.
• Analyzed large datasets using SAS, SQL, Python, and Excel.
• Performed back-testing, sensitivity analysis, validation, and root-cause investigations.
• Prepared executive summaries communicating model performance and findings.

Application Developer II at M&T Bank (2021-11 – 2023-10)

• Developed reporting solutions and applications using SQL, SSIS, C#, VB.NET, and Excel.
• Automated processes and collaborated with stakeholders to deliver technical solutions.

Application Developer I at M&T Bank (2019-03 – 2021-11)

• Built reporting processes and supported documentation, production support, and process improvements.

M.S. in Data Science – Utica University

B.S. in Computer Information Systems – Buffalo State University

A.A.S. in Computer Information Systems – Monroe Community College