Kevin W Wooten
Sr Data Analyst @BMO U.S.
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WORK HISTORY
Sr Data Analyst @BMO U.S.
Chicago, IL, US
Designed and implemented fraud-analytics data pipelines using SQL, Alteryx, and SAS, improving detection accuracy and reducing false-positive alerts by 20%.• Partnered with 1LOD and 2LOD risk, compliance, and audit teams to identify and remediate more than 15 internal control gaps, strengthening SOX and regulatory control readiness.• Developed executive-level risk and fraud monitoring dashboards in Tableau and Power BI to support operational risk reviews, internal audit reporting, and regulatory oversight.• Automated data validation and quality assurance processes using Python and SQL, reducing manual reconciliation effort by 30% while improving reporting accuracy.• Established data lineage and metadata documentation aligned with BCBS 239 data governance standards to improve traceability across enterprise reporting pipelines.• Collaborated with business, technology, and governance stakeholders to define data quality controls, KPI/KRI metrics, and monitoring frameworks supporting enterprise fraud analytics initiatives.• Mentored junior analysts on risk analytics methodologies, regulatory reporting practices, and control monitoring frameworks.
EDUCATION
American InterContinental University
Associate's degree, Business/Office Automation/Technology/Data Entry
American InterContinental University
Master of Science in Information Technology (Anticipated: July 2026), Concentration: Data Analytics
American InterContinental University
Bachelor of Science - BS, Information Technology
Duke University via coursera.com
Excel to MySQL: Analytics for Business
University of California, Irvine via coursea.com
Project Management - Foundational Project Management Elements
SKILLS
ABOUT KEVIN W WOOTEN
Senior Data Analyst with 18+ years of experience delivering risk data governance, regulatory reporting, and fraud analytics solutions across global financial institutions. Specialized in building and validating end-to-end risk data pipelines (source → transformation → lineage → controls → reporting) aligned with BCBS 239, CCAR, and enterprise governance frameworks. Proven track record partnering with 1LOD, 2LOD, Audit, and Technology teams to identify data quality gaps, remediate control deficiencies, and ensure accuracy and completeness of regulatory submissions and risk exposure reporting. Recognized for translating complex data into audit-ready, regulator-facing outputs and strengthening data lineage, reconciliation, and control transparency. Advanced expertise in SQL, Snowflake, Python, Alteryx, Tableau, and Power BI, with a focus on automating controls, improving data integrity, and enabling proactive risk monitoring across fraud, operational risk, and compliance domains.
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