MoonPay - Fraud Investigator, Fraud Investigations Team
Requirements
• 3+ years of experience in fraud detection, prevention, and investigation, preferably in the Web3, crypto, or blockchain industry, with a strong understanding of the ecosystem, products, transaction flows, and associated fraud and financial crime risks. • Demonstrated experience leading complex fraud investigations from initial alert through to root cause analysis and remediation. • Hands-on experience building, implementing, and tuning fraud detection rules, including rule backtesting and performance management. • Strong understanding of fraud typologies, attack vectors, and emerging trends in the crypto and digital payments space. • Experience with data analysis tools and the ability to derive conclusions and recommendations from large datasets (e.g. SQL, Excel, or BI tools). • Excellent critical thinking and risk assessment skills—you can evaluate the likelihood and impact of fraudulent activity under pressure and make sound decisions. • Strong attention to detail with the ability to maintain accuracy and thoroughness in a high-volume, fast-paced environment. • Clear, professional communication skills with the ability to write concise case notes, escalations, and cross-functional updates. • A proactive, ownership-driven mindset—you identify problems, propose solutions, and drive them to completion. • Experience leveraging AI and machine learning tools in fraud, risk, investigations, or operational workflows, with an understanding of how AI can be used to improve detection, analysis, decision-making, and operational efficiency. • Coding ability (e.g. SQL, Python) for data analysis, automation, or building investigative tools. • Familiarity with blockchain analytics and on-chain investigation tools (e.g. Chainalysis, TRM Labs, Elliptic). • Knowledge of chargeback processes and card scheme fraud programmes. • Research has shown that women are less likely than men to apply for this role if they do not have experience in 100% of these areas. Please know that this list is indicative, and that we would still love to hear from you even if you feel that you are only a 75% match. Skills can be learned, diversity cannot.
Responsibilities
• Detection and Threat Management • Monitor fraud signals and emerging threats to identify attack patterns. • Conduct threat hunting to uncover fraud missed by existing controls. • Identify detection gaps and implement strategies to strengthen fraud prevention. • Incident Management • Act as an incident commander during live fraud attacks, coordinating containment and response across teams. • Lead complex fraud investigations, identifying root causes and recommending permanent fixes to prevent recurrence. • Assess the severity of fraud cases and escalate high-risk cases to the Manager or Compliance in a timely manner. • Execute rapid containment actions (blocks, freezes, restrictions) to minimise fraud exposure during active incidents. • Rule Management • Review, build, implement, and tune fraud detection rules to optimise accuracy and minimise false declines. • Backtest rule logic against historical data to validate effectiveness before deployment. • Monitor rule performance in production and iterate based on real-time data and investigation outcomes. • Own the False Decline Rate for rules implemented by the Fraud Investigations team, keeping it within acceptable thresholds. • Agent Building & Automation • Build, deploy, and QA AI-powered agents and automation workflows that enhance fraud detection and investigation efficiency. • Identify opportunities to automate repetitive investigation tasks and scale the team’s operational capacity. • Partner with Engineering, Data, and ML teams to translate investigative insights into scalable tooling and controls. • Cross-Functional Collaboration & Reporting • Engage with Product, ML, Engineering, and Compliance teams to support investigations and contribute to fraud mitigation strategies. • Provide support to internal teams raising fraud queries, acting as a subject matter expert on fraud risk. • Ensure accurate and timely documentation of fraud cases, maintaining clear records for internal reporting and external audit requirements. • Identify gaps in tooling or processes and provide actionable feedback to improve detection accuracy and investigation efficiency.
Benefits
• 🤝 Equity package: financial freedom starts with our employees, so all employees have ownership at MoonPay • 📈 Pay-for-performance equity bonus: those who drive outsized outcomes receive outsized rewards • 🚀 Moonshot award: we honor exceptional impact. 20 employees a year, each earning a $250,000 equity grant • 📊Pension: employer contributions from day one • 🎁Employee referral program: refer great people, earn 10K in USDC • 🏝 Flexible Time Off: choose when to work and when to switch off • 🔋Recharge Period: end-of-year company-wide time off to rest and reset • 🎂 Birthday leave: take the day off to celebrate you • 🍼 Enhanced parental leave: more time with family, no second thought • 🌍 Hybrid working schedule: work fully remotely or from your nearest Moonbase • 🚆(Netherlands only) Commuter benefits: public transport to and from the office • 🩺 Private healthcare benefits: to protect you and your loved ones • 🧘 Wellhub wellness membership: access to gyms, studios, classes, and wellness apps in one membership • 🤖 Enterprise access to the latest AI tools: Claude, ChatGPT, Gemini and whatever's next • 🍱 Lunch credit: meals covered on the days you're in the office • 🪑 Home office setup allowance: build the home office of your dreams • 👛 Remote working allowance: those working fully remotely get a little extra for utilities • 🌕 Monthly product budget and zero-fee crypto transactions • 📚 $1,000 Annual training budget: we support your learning journey • 🎯 High Potential Program: structured development, mentorship, and stretch opportunities • ✈️ Regular remote company offsites: high-impact in-person sessions and hackathons • 🚲 (Ireland only) Cycle to Work scheme: tax-efficient bike, gear, and safety kit • 🔌 (UK only) EV Salary Sacrifice: lease an electric vehicle through pre-tax salary • We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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