Fraud Data Analyst

First Bank is seeking a data analytics professional with an interest in fraud prevention and risk technology who will focus on the development and advancement of enterprise fraud detection strategies. This role performs highly analytical, non-routine work directly related to the organization’s risk management and fraud mitigation operations, with a focus on identifying, evaluating, and addressing threats that impact financial exposure and operational integrity. The position is responsible for designing, implementing, and optimizing rules and configurations within critical fraud detection systems. These systems support the identification of suspicious activity, the mitigation of emerging threats, and the reduction of fraud risk across the enterprise. The role requires the application of independent judgment in evaluating system performance, determining appropriate control enhancements, and recommending changes that improve detection effectiveness and business outcomes. The ideal candidate independently analyzes complex transaction datasets, system logs, and behavioral patterns to identify emerging fraud trends and develop actionable recommendations. Work involves comparing and evaluating multiple analytical approaches and determining appropriate courses of action to enhance fraud controls, detection logic, and investigative processes. The role contributes to decision-making on matters of significance, including control effectiveness, fraud loss mitigation, and system optimization. This position collaborates across multiple business functions, including Decision Science, Cybersecurity, and Fraud Operations, to influence the development and enhancement of fraud detection strategies and risk management practices. The role also provides analytical insight and technical expertise that supports the evolution of fraud detection models, rules, and platforms. The successful candidate demonstrates intellectual curiosity and proactively investigates data, systems, and processes to identify control gaps, assess risk, and recommend improvements. This role serves as a key contributor to enterprise fraud prevention efforts by applying advanced analytics and independent judgment to inform strategic and operational decisions. ESSENTIAL FUNCTIONS Autonomously analyze complex datasets to identify fraud trends, isolate root cause, and formulate recommendations to influence detection strategy and risk controls. Design, develop, and optimize fraud detection rules, making independent decisions on rule logic, thresholds, and control effectiveness impacting enterprise risk exposure. Oversee fraud detection performance and exercise independent judgment to escalate, prioritize, and recommend systemic control changes based on emerging risk patterns. Evaluate and strategically enhance rule performance, detection models, and develop key performance and risk data metrics. Establish and evolve data governance standards, procedures, and reporting frameworks that influence enterprise fraud strategy. Analyze complex system and transaction log data to design advanced detection strategies and lead investigative initiatives impacting fraud loss mitigation. Lead cross-functional initiatives and influence business decisions related to fraud data analytics across multiple lines of business. Develop and deliver training to drive adoption of fraud detection strategies and influence operational decision-making across teams. Serve as fraud data analytics subject matter expert and advisor on related strategy, detection frameworks, and control optimization. Completes annual compliance courses. Adheres specifically to all corporate policies and procedures. Also adheres to Federal andState regulations and laws; including, the Bank Secrecy Act and the Anti-Money Laundering Act. Adheres to all levels of our Service Excellence standards. Performs other duties as required. GENERAL QUALIFICATIONS Knowledge & Experience : These specifications are general guidelines based on the minimum experience normally considered essential to the satisfactory performance of this position. Individual abilities may result in some deviation from these guidelines. 2-3 years of financial services experience, with a focus on data analytics supporting fraud, risk, cybersecurity, or a related discipline. Bachelor’s degree in Data Science, Data Analytics, Computer Science, Business Analytics, Information Systems (MIS / CIS), Statistics / Applied Statistics, or equivalent degree in a related discipline; or equivalent years of professional experience. Seeks guidance as needed and tackles new problems independently with initiative. Strong foundational understanding of fraud risks or digital banking. Proven analytical and problem solving abilities. Adaptive to evolving fraud tactics and aptitude for working collaboratively. Interest in technology driven fraud prevention strategies and disciplined use of artificial intelligence (AI). Experience with data analytics and visualization tools (e.g., Tableau, Power BI, Splunk). Familiarity with enterprise data warehouse solutions (e.g., Snowflake) and basic queries. Cognitive Requirements: Learning, thinking, concentration, ability to exercise self-control, ability to work in a customer relations’ environment. Must be able to pay close attention to detail and be able to work as a member of a team. Must have the ability to interact effectively with co-workers and customers, and exercise self-control and diplomacy in customer and employee relations’ situations. Must have the ability to exercise discretion as well as appropriate judgments when necessary. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. #J-18808-Ljbffr