Job Description Insight Global is looking for a technical fraud professional to provide technical leadership across our FI client's Information Technology Services team, driving the design, integration, and optimization of fraud detection tools across digital banking, payments, onboarding, and member-facing systems. You’ll guide tool selection and implementation, shape our fraud prevention roadmap, and collaborate with Security, Risk, Compliance, and Operations teams to ensure member safety and regulatory compliance. We’re seeking a strategic and hands-on leader with deep expertise in fraud prevention and enterprise-scale IT solutions. 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 •7+ years of software engineering, solution architecture, or technical leadership •Hands-on experience with fraud detection tools •Ex. Actimize, Feedzai, SAS, FICO, or equivalent •Experience in fraud prevention for digital banking channels and payments systems •Ex. wires, e-transfers, card payments •Open to insurance and Digital marketing backgrounds •Familiarity with tools such as MuleSoft, APIs, Intellect, Salesforce •Monitoring & Observability: Splunk, Datadog, Dynatrace (one of the 3) •Data programming: SQL and Python •Real-time streaming: Kafka or RabbitMQ •Experience introducing net new fraud prevention tools •Open to challenging/different environments •Experience within a small FI