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

• Develop dashboards, reports, and models to monitor fraud KPIs and emerging

threats

• Provide analytical insights to support fraud rules and machine learning

models

• Conduct root cause analyses of fraud events to inform process improvements
• Contribute to fraud risk assessments and scenario planning
• Monitor external fraud trends and benchmark 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 current on industry trends and best practices
• Participate in training and self-development opportunities
• Perform other related duties as assigned or appropriate to support business

needs

Requirements

• Bachelor's degree or 4 years of directly related experience in data

analytics, fraud prevention/detection, risk management, financial crime investigations, or similar field

• In addition, 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 dimensional data models
• Excellent communication, collaboration, and organizational skills
• Ability to manage multiple priorities and projects independently
• Demonstrates alignment with ESL’s Core Values, mission, vision, and purpose

to help our community thrive and prosper Nice-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
• paid volunteer time
• Learning & Development training

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