Fraud Data Analyst

Sezzle

Job Overview

Location

Remote

Employment Type

Full-time

Work Arrangement

Remote

Sector

Information Technology & Software

Experience Level

Junior (1-3 years)

Application Deadline

March 17, 2026

About the Company

Sezzle is a pioneering fintech company dedicated to empowering the next generation through innovative financial solutions. We go beyond simple payments, offering seamless, interest-free installment plans that make shopping smarter and more accessible for consumers. Our mission is to redefine the shopping experience by blending cutting-edge technology with a user-friendly approach, driving significant growth for merchants through increased conversions and higher order values. At Sezzle, we foster a dynamic and innovative culture where passionate individuals can push boundaries. We believe in building a team comprised of brilliant minds who are not only experts in their fields but also unique, purpose-driven individuals. Our culture is defined by the collective example of our employees, creating an environment that is more than just a workplace – it's a community of innovators shaping the future of shopping.

Job Description

Sezzle is seeking a highly analytical and detail-oriented Fraud Data Analyst to join our dynamic, fast-paced team. This role is crucial for identifying, investigating, and preventing fraudulent activities, thereby protecting both the company and our customers. You will leverage your expertise in SQL to analyze large datasets, uncover emerging fraud trends, and develop robust prevention strategies. This is an excellent opportunity for career growth in a rapidly expanding fintech environment.

In this role, you will be responsible for monitoring transactions and customer accounts to detect suspicious activity, utilizing various fraud detection tools and techniques. You will conduct in-depth investigations, analyze large datasets using SQL to identify anomalies, and develop effective fraud prevention rules and strategies. Staying current with industry best practices and emerging fraud threats will be key to your success.

To apply for this role, click the Apply button on this page and follow the instructions.

Required Skills

SQLPythonData AnalysisFraud DetectionProblem-SolvingAttention to DetailCommunication SkillsOrganizational Skills

Key Responsibilities

Monitor transactions and customer accounts to identify and investigate suspicious or fraudulent activity.
Utilize various fraud detection tools, systems, and techniques to identify emerging fraud trends and patterns.
Conduct in-depth investigations into suspected fraudulent activities, gathering evidence and documenting findings.
Analyze large datasets using SQL to identify anomalies, patterns, and insights related to fraudulent behavior.
Develop and implement fraud prevention rules, strategies, and controls.
Stay up-to-date with industry best practices, emerging fraud threats, and new technologies in fraud detection and prevention.

Qualifications

Bachelor's degree in a relevant field (e.g., Economics, Computer Science, Analytics, or a related field).
Minimum of two (2) years of experience in a fraud detection, prevention, or investigation role.
Minimum of two (2) years of experience working with SQL and Python.
Strong analytical and problem-solving skills with a keen attention to detail.
Understanding of common fraud typologies (e.g., account takeover, identity theft, payment fraud, etc.).
Excellent written and verbal communication skills, with the ability to clearly articulate complex issues.
Ability to work independently and as part of a team in a fast-paced environment.
Strong organizational skills and the ability to manage multiple priorities effectively.
High level of integrity and a commitment to ethical practices.