Hours:

40

Schedule:

This position is remote eligible for up to 40% of the time. Hours are typically Monday - Friday 8:00am - 5:00pm. Must be flexible to meet current and future business needs.

Comprehensive Benefits:

ESL offers a competitive benefits package which focuses on providing a work life balance for all employees. Our benefits include robust options such as our wellness program, family assistance plan, 401k with match, paid volunteer time and Learning & Development training among many others.

Pay and Incentive Plan:

Starting Salary: $91,000 Pay Range: $80,454 - $101,426

In addition to competitive pay and benefits, we offer an annual performance-based incentive that rewards eligible employees for their contributions to our success.

Purpose:

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.

Accountabilities:

Fraud Detection Analytics

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

Fraud Investigation Management

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

Collaboration Strategy

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

Reporting Visualization

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

Professional Development

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

Qualifications:

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

Preferred Qualifications:

Bachelor's degree preferred
Experience with Python/R
Experience creating and/or adjusting fraud models

We’re committed to diversity, equity, and inclusion. We believe we are a stronger, more successful organization because of this commitment. We strive to ensure a robust talent pool of qualified candidates with a variety of skillsets and capabilities for all our openings. We hire great people and welcome all new hires to our award-winning work environment, which has been recognized by the Great Place to Work Institute since 2010.

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