Senior Fraud Analytics Specialist

SummaryThe Senior Fraud Analytics Specialist plays a critical role in supporting the bank’s fraud risk mitigation strategies by leveraging data, analytics, and technology. Reporting to the Fraud Analytics Manager, this role focuses on analyzing fraud trends, building insightful dashboards, and contributing to the development of fraud rules and models. This position requires a strong analytical mindset, hands-on technical skills, and the ability to turn complex data into actionable insights that directly impact fraud detection and prevention efforts.Specific Job FunctionsAnalyze large and complex datasets to identify fraud patterns and emerging risks across products, channels, and services.Develop and maintain dashboards and reports in Power BI and/or Tableau to monitor fraud KPIs, KRIs, and operational performance.Use Python, SQL, and other analytical tools to support rule creation, case analysis, and reporting needs.Collaborate with internal to enhance fraud monitoring, improve alert accuracy, and support investigations.Assist in the evaluation and tuning of fraud detection systems and rules to reduce false positives and enhance fraud capture.Support vendor integrations and data exchanges related to fraud tools or intelligence platforms.Contribute to the documentation and maintenance of fraud detection methodologies, business requirements, and internal procedures.Assist in preparing presentations and summaries for senior management on fraud trends, risks, and recommendations.Stay informed on evolving fraud, industry trends, and best practices to proactively enhance fraud prevention strategies.Minimum Job RequirementsBachelor’s degree in computer science, finance, business administration, or a related field is required. Eight (8) – Ten (10) years of experience in an analytical role is required. Minimum of 2 years of experience in fraud analytics, data analytics, or a financial crimes environment is preferred. Proficient in Power BI and/or Tableau for data visualization and dashboard development.Hands-on experience with Python for data manipulation, analysis, and automation.Strong working knowledge of SQL for querying and data validation.Familiarity with fraud detection systems, banking products, and financial services environments.Excellent analytical and critical thinking skills with strong attention to detail.Effective written and verbal communication skills; able to translate data findings into business insight.Ability to manage multiple tasks and priorities in a fast-paced environment.Equal Opportunity Employer/Veterans/Disabled

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