Fraud Operations Associate
Listed on 2026-01-09
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IT/Tech
Data Analyst, Data Security, Cybersecurity
Job Description
Insight Global is hiring Fraud Operations Associates for our client, who is a global crypto and Web3 platform. The Fraud team protects users, safeguards funds, and upholds the integrity of the company's digital asset marketplace. The team leverages technology, data, and cross‑functional collaboration to disrupt fraud and manage risk.
Role Overview- Investigate and resolve fraud risks and customer issues, primarily via email.
- Analyze fraud patterns and trends, collaborating with data science, product, and engineering teams to improve controls.
- Identify process gaps and recommend operational improvements.
- Prepare reports on suspicious activity and key metrics.
- Conduct quality assurance reviews.
- Collaborate with teams across data science, identity, customer support, and compliance.
This is a 6‑month contract‑to‑hire position with an hourly pay of $30/hr.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal‑opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances.
If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:
- 3+ years of fraud/risk investigation experience.
- 1+ year of customer support experience in risk issues.
- Ability to identify fraud trends and recommend enhancements.
- Strong decision‑making and problem‑solving skills.
- Skills in SQL, Python, Tableau, or Looker.
- Background in fintech, banking, or digital products.
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