Remote Fraud Data Analyst – Make a Meaningful Impact From Anywhere!

Location: Remote (Based in Chicago)
Salary: $79,090

Step Into the Role Where Data Meets Integrity

Are you a data-savvy professional with an eye for anomalies and a passion for protecting financial ecosystems? Ready to make a real impact from the comfort of your own home? This is your chance to take charge of your future and shape how we fight fraud in an increasingly digital world.

We're seeking a Remote Fraud Data Analyst who thrives in uncovering patterns, navigating complex datasets, and building insights that proactively detect fraudulent activity. You won’t just crunch numbers—you’ll be our detective, data guardian, and innovation ally.

This role is more than analyzing spreadsheets—it's about contributing to a fast-growing vision. With remote flexibility and high-impact projects, your contributions will ripple across our operations and protect thousands of users.

Why the Remote Fraud Data Analyst Role Matters

Our growth story is fueled by trust. We handle sensitive data daily, manage financial operations, and support businesses nationwide. But with growth comes risk, and that’s where you come in.

As our Fraud Data Analyst, you'll play a critical role in our mission to safeguard data integrity and prevent fraudulent behavior. Your insights will directly inform our strategies, influence policies, and ultimately protect our community. You won't just be part of the journey—you’ll help drive it.

Key Responsibilities of a Remote Fraud Data Analyst

Monitor and Analyze Data

• Track transactional data across platforms
• Detect anomalies and suspicious activity patterns

Build and Refine Detection Models

• Use analytics and machine learning techniques
• Optimize algorithms to adapt to evolving fraud methods

Deliver Business Intelligence

• Develop dynamic dashboards and reports
• Use SQL-based analysis to inform decision-making

Collaborate Across Teams

• Work with Risk, Compliance, and Business Intelligence
• Recommend strategic improvements based on data trends

Innovate Fraud Prevention Strategies

• Develop scoring algorithms and proactive measures
• Research fraud trends and implement best practices

Required Qualifications and Skills

Core Competencies

• 2–4 years in fraud detection, risk analytics, or data analysis
• Advanced SQL skills and data querying experience
• Proficient in Python or R
• Experienced with data visualization (Tableau, Power BI, Looker)

In-Depth Knowledge

• Understanding of fraud types: chargebacks, account takeovers, etc.
• Clear communication of analytical findings
• Proven success in managing tasks autonomously within a virtual work environment

Preferred Experience

• Cloud platforms like AWS, Azure, or GCP
• Prior work with eCommerce or fintech
• Fraud modeling using machine learning

Work Environment and Remote Culture

Fully Remote Flexibility

• 100% remote setup with equipment provided
• Work independently and manage flexible hours

Communication and Collaboration Tools

• Slack, Zoom, Jira, and Confluence for seamless connectivity
• Regular team meetings and virtual syncs

Supportive Work Culture

• Innovation-driven environment valuing curiosity and ethics

Tools and Technology Stack

Core Platforms and Languages

• SQL: PostgreSQL, MySQL
• Python/R for modeling
• Snowflake, Redshift data warehouses

Visualization and Workflow Tools

• Tableau, Power BI for dashboards
• Airflow and dbt for workflow automation

Fraud Monitoring Solutions

• Tools like Sift and Feedzai for case management

Exciting Perks and Benefits

Health and Wellness

• Comprehensive medical, dental, and vision coverage
• Mental health support and wellness resources

Professional Development

• Learning stipends and career growth opportunities
• Exposure to cutting-edge fraud detection tools

Time Off and Flexibility

• Generous PTO and paid holidays
• Optional team retreats and workshops

Career Growth and Future Opportunities

This isn't a stepping stone—it's a launchpad. As our company scales, so do your options for growth. Whether you want to specialize in fraud modeling, move into data science, or rise into leadership, we support your journey.

Apply Now: Take the Next Step in Your Fraud Analytics Career

If you're ready to bring your analytical expertise, fraud detection instincts, and creative thinking to a mission-driven team, this is the opportunity for you. Be part of something meaningful, and take the lead in shaping how data defends trust in a digital world.

Your next big opportunity awaits—apply now!