Senior Data Analyst Trust and Safety
Summary
Investigate suspicious trading activity on a crypto prediction market using SQL, build fraud/AML dashboards, and improve detection logic while documenting findings for compliance teams.
You will investigate suspicious trading activity using SQL and deliver well-documented answers to trust-and-safety data requests. You will build monitoring dashboards, identify patterns across accounts, trading history, and on-chain data, and improve detection logic. You will document findings clearly and help prioritize high-risk signals while reducing alert noise.
Responsibilities
- Write SQL queries to investigate suspicious trading activity.
- Deliver documented responses to Trust and Safety data requests.
- Build and maintain fraud and AML monitoring dashboards.
- Identify bad-actor patterns across accounts, trading history, and on-chain data.
- Translate investigation patterns into detection-logic improvements.
- Document investigation findings for non-technical stakeholders.
- Prioritize high-risk signals and reduce alert noise.
Requirements
- 3–5 years of data-analysis experience.
- Strong SQL skills.
- Experience in fraud detection, AML investigation, or trust and safety analytics.
- Ability to independently scope and complete open-ended investigations.
- Experience building dashboards for operations or compliance teams.
- Clear communication skills.
- Familiarity with crypto, prediction-market, on-chain, or exchange trading data.
- Experience contributing to fraud or AML detection logic or rules engines.
- Experience working with compliance, legal, or operations teams in a regulated environment.
Benefits
- Equity
- Unlimited PTO
- Health coverage
- Vision coverage
- Dental coverage
- 401k match
- MacBook Pro, display, and accessories