Job Description
Insight Global is seeking a Senior Fraud Data Analyst to support a leading financial institution's fraud prevention and risk management efforts. This individual will be responsible for analyzing fraud trends, identifying emerging threats, and developing strategies to reduce fraud losses while maintaining a strong member experience. The ideal candidate will own the full fraud analytics lifecycle, including data analysis, modeling, visualization, reporting, and fraud rule development. They will partner with senior leadership to present data-driven recommendations, create executive-level reporting, and help shape enterprise-wide fraud strategy. This role also supports fraud detection system optimization and business intelligence reporting initiatives.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Skills and Requirements
Bachelor's degree or equivalent experience
5+ years of experience in fraud analytics, fraud strategy, or fraud risk within banking, credit unions, fintech, or financial services
Strong experience analyzing large datasets and identifying fraud trends
Advanced SQL skills for querying, analyzing, and reporting data
Advanced Power BI experience, including dashboard creation, data modeling, and executive reporting
Experience writing, testing, and optimizing fraud detection rules
Experience with fraud monitoring and fraud loss prevention strategies
Ability to communicate data insights and recommendations to leadership and non-technical stakeholders
Strong analytical, problem-solving, and critical-thinking skills PowerBi experience
Experience with fraud platforms such as Falcon, Verafin, Alloy, or FIS
Experience with Tableau, Qlik, or SSRS
