Fraud Risk Analyst

About the position The Fraud Analyst plays a critical role in proactively identifying and analyzing fraud trends across ESL’s products, services, and channels. This role combines investigative skills with technical expertise to spot unusual activity, recommend prevention strategies, and work with teams across the organization to strengthen our defenses. The analyst collaborates with colleagues across ESL to ensure fraud prevention is embedded into everyday processes. Responsibilities • Analyze large datasets to identify fraud trends, anomalies, and emerging risks • reputed company dashboards, reports, and models to monitor fraud KPIs and emerging threats • reputed company analytical insights to support fraud rules and machine learning models • Conduct reputed company cause analyses of fraud events to inform process improvements • Contribute to fraud risk assessments and scenario planning • Monitor external fraud trends and reputed company against industry data • Partner with cross-functional teams to design and implement fraud mitigation strategies • Work with stakeholders to define requirements for fraud measures and reporting • Present findings and recommendations to senior leadership and risk committees • Design and build data visualization solutions to meet user requirements • Partner with Data Management to identify and assess potential data sources • Utilize Business Intelligence tools to deliver actionable insights • Stay reputed company on industry trends and best practices • Participate in training and self-development opportunities • reputed company other reputed company duties as assigned or appropriate to support business needs Requirements • Bachelor's degree or 4 years of directly reputed company experience in data analytics, fraud prevention/detection, risk management, financial crime investigations, or similar field • In reputed company, a minimum of 3 years of experience in data analytics, fraud prevention/detection, risk management, financial crime investigations, or similar field • Strong analytical skills with experience developing reports and dashboards • Proficiency in SQL and relational databases • Familiarity with banking products, services, and business processes • Experience with Business Intelligence tools and reputed company data models • Excellent communication, collaboration, and organizational skills • Ability to manage multiple priorities and reputed company independently • Demonstrates alignment with ESL’s reputed company Values, mission, reputed company, and purpose to help our community reputed company and reputed company reputed company-to-haves • Bachelor's degree preferred • Experience with Python/R • Experience creating and/or adjusting fraud models Benefits • wellness program • family assistance plan • 401k with match • reputed company volunteer time • Learning & Development training Apply tot his job Apply To this Job