Matthew Woodruff

Matthew Woodruff

Senior Risk Analyst @ Nationwide Building Society

About Matthew Woodruff

Matthew Woodruff is a Senior Risk Analyst at Nationwide Building Society, where he has worked since 2020. He has extensive experience in risk analysis, having held various roles in the financial sector, including Lead Risk Analyst at Bank of Ireland and Fraud Analyst at Nationwide Building Society.

Current Role at Nationwide Building Society

Matthew Woodruff serves as a Senior Risk Analyst at Nationwide Building Society, a position he has held since 2020. In this role, he is responsible for conducting in-depth analyses related to risk management. He assists junior analysts with various work streams across both secured and unsecured products. His work includes performing bespoke analyses on policy rules, capital calculations, and regulatory returns, contributing to the organization's overall risk assessment strategies.

Previous Experience at Bank of Ireland

Matthew Woodruff worked at Bank of Ireland as a Lead Risk Analyst from 2019 to 2020 in Bristol, United Kingdom. Prior to this role, he served as a Senior Credit Risk Analyst at the same institution from 2017 to 2019. His experience at Bank of Ireland involved managing risk analysis processes and developing strategies to mitigate financial risks.

Experience at Nationwide Building Society

Before his current role, Matthew Woodruff held multiple positions at Nationwide Building Society. He worked as a Fraud Analyst from 2013 to 2015 and as a Credit Risk Analyst from 2015 to 2017. His tenure at Nationwide Building Society has provided him with extensive experience in various aspects of risk analysis and management.

Education and Expertise

Matthew Woodruff studied at the University of Portsmouth, where he earned a Bachelor of Applied Science (BASc) in Business Economics and Business Law from 2010 to 2013. He specializes in in-depth analysis of IFRS9, IRB, and decisioning models. His technical skills include proficiency in programming and data analysis tools such as SAS, SQL, and Python, which support his analytical capabilities.

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