The Role
Owns fraud detection systems, investigation operations, rule tuning, automation, and fraud loss mitigation. Leads complex investigations into account takeover, payment abuse, synthetic identity, mule activity, and organized fraud. Integrates fraud signals with AML risk assessments, customer risk ratings, and SAR/STR escalation processes. Manages a team, partners with Engineering, Data, Compliance, Payments, and Finance, and ensures regulatory-quality documentation, audit trails, and control effectiveness across licensed jurisdictions.
Summary Generated by Built In
Fraud doesn’t announce itself. It hides in payment patterns, account behaviour, and network overlaps — and by the time it surfaces as a regulatory question, the window to stop it has already closed. Your job is to close that window first.
You’ll own the detection systems, the investigation programme, and the escalation bridge between fraud and AML compliance. Not just run them — own them. You’ll lead a team, set the controls standard, and make sure suspicious activity is not only caught but documented and escalated in line with regulatory obligations across Deriv’s licensed jurisdictions.
Why This Matters
Deriv’s mission is Trading for Anyone, Anywhere, Anytime. That mission runs through regulated entities — CFD brokers, VASP/CASP licences, and banking licences — processing millions of transactions across time zones. Real money, real regulations, real consequences.
Fraud is a predicate offense for money laundering. Every case you investigate has the potential to surface a wider financial crime risk. The work you do here feeds into AML risk assessments, customer risk ratings, SAR/STR filings, and Board-level governance. It can’t be approximate. It can’t be slow.
Why Deriv
We’re not theorising about AI in fraud detection. We’re running it in production.
- Dozens of fraud detection models already running continuously across payment channels — monitoring real transactions, not demo data.
- Real-time controls across peer-to-peer, card, account-based, and crypto-related activity, already in production.
- Finance and compliance automation eliminating manual processing across reconciliation, reporting, and monitoring at scale.
- 400+ internal users on our workflow orchestration platform.
You’ll inherit a detection function that’s already operationally mature — and have the engineering and data teams to push it further. When you identify a control gap, you’ll have the cross-functional access to close it.
What You’ll Do
Fraud Systems & Automation
- Own the detection stack. Design, implement, and continuously tune fraud prevention controls across payment channels. Build, test, and sharpen fraud rules, thresholds, velocity limits, and alerting frameworks to improve accuracy and reduce false positives.
- Drive end-to-end automation. Ensure the vast majority of fraud checks run automatically. Reduce manual intervention through effective decisioning logic and real-time controls — and know where human review is still the right call.
- Partner with Engineering and Data. Work cross-functionally to advance fraud tooling, case management, data enrichment, and predictive detection capabilities. Translate what you see in investigations into system requirements.
Analytics & Investigation
- Lead with data. Analyse transactional, behavioural, device, and network data to identify fraud patterns, attack vectors, and control weaknesses. Convert insights into measurable prevention outcomes, not just reports.
- Conduct complex investigations. Lead deep-dive investigations into account takeover, payment abuse, onboarding fraud, card testing, mule activity, collusion, and organised fraud networks. Use root-cause analysis to close control gaps, not just close cases.
- Own fraud rules performance. Monitor detection accuracy, false positive rates, and control effectiveness continuously. Tune and retune based on what the data shows.
FRAML Integration & Financial Crime Escalation
- Bridge fraud and AML. Ensure key fraud indicators — account takeover signals, card testing patterns, synthetic identity, mule behaviour — are reflected in AML risk assessments and customer risk ratings. Drive FRAML integration as an operating practice, not a project.
- Own the escalation process. Maintain clear, documented processes for escalating confirmed or highly suspicious fraud cases to Compliance and the MLRO as potential predicate offenses. Provide Compliance with the technical evidence and case detail required for SAR/STR filings.
- Support regulatory obligations. Align fraud controls and escalation practices with AML obligations and the regulatory expectations of Malta-licensed entities.
Governance & Audit Readiness
- Document to regulatory standard. Ensure all investigations are fully documented with clear rationale, structured evidence, and reliable audit trails suitable for governance review, regulatory examination, and law enforcement engagement.
- Manage fraud loss mitigation. Oversee chargebacks, fraud disputes, and recovery processes in partnership with Payments and Finance. Use fraud intelligence to minimise losses and improve control effectiveness.
Who You Are
- You’ve owned fraud prevention at depth. 8+ years in fraud prevention, financial crime, compliance, risk, or investigations — ideally in fintech, payments, forex, crypto, online trading, or financial services. You’ve run the full lifecycle: detection design, complex investigation, escalation, and regulatory documentation.
- You understand the fraud-AML connection. You know fraud doesn’t stop at a chargeback. You understand how account takeover, synthetic identity, and mule networks create money laundering exposure — and how to document that in a way Compliance and regulators can act on.
- You’re technical enough to build, not just direct. You’re not a hands-on engineer, but you understand how fraud models are trained and deployed, how rules engines work, and how to collaborate with engineers on detection logic without losing precision in translation.
- You think in systems, not individual cases. When you close an investigation, your first question is: what control does this change? You use root-cause analysis to drive better automated defences.
- You’ve led teams and held them to a high standard. Proven people management experience. Your team documents thoroughly, escalates decisively, and doesn’t cut corners under volume pressure.
- You communicate at both ends of the technical spectrum. You can brief the MLRO on SAR rationale and brief Engineering on detection logic requirements — without losing either audience. Excellent written and verbal English is essential.
Good to Have
- Experience in a regulated brokerage, CFD, forex, crypto, or payments environment.
- Familiarity with FRAML models, unified risk scoring, or integrated fraud and AML monitoring frameworks.
- Hands-on experience with fraud detection tools, case management platforms, rules engines, or device and behavioural intelligence solutions.
- CFE, CAMS, or equivalent certification.
The Honest Reality
This role carries regulatory weight. When a SAR needs filing or an escalation reaches the MLRO, the quality of your investigation documentation is what gets scrutinised. Some cases will be ambiguous — enough to act on but not enough to be certain. You’ll make judgment calls with incomplete data, own the consequences, and explain your reasoning to compliance and regulators who are not always sympathetic to uncertainty.
Cross-functional complexity is real. Getting Engineering, Compliance, Payments, and Finance aligned on a control change takes more than being right. Some weeks the fraud volume will outpace the tooling. Some control gaps will take longer to close than you’d like.
If you want a fraud role with clear process and bounded scope, this isn’t it. If you want functional ownership of a detection system that protects millions of real traders — and the authority to build it properly — this is the right place to do it.
Skills Required
- 8+ years of experience in fraud prevention, financial crime, compliance, risk, or investigations
- Experience owning fraud detection design, complex investigations, escalation, and regulatory documentation
- Understanding of the relationship between fraud and AML, including predicate offenses, customer risk ratings, and SAR/STR processes
- Ability to understand fraud model training and deployment, rules engines, and detection logic
- Proven people management and team leadership experience
- Excellent written and verbal English communication skills
- Experience in fintech, payments, forex, online trading, crypto, brokerage, or financial services
- Familiarity with FRAML models, unified risk scoring, or integrated fraud and AML monitoring frameworks
- Hands-on experience with fraud detection tools, case management platforms, rules engines, or device and behavioral intelligence solutions
- CFE, CAMS, or equivalent certification
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The Company
What We Do
Deriv is a regulated online brokerage group that connects millions of customers in more than 150 countries to global financial markets. It offers contracts for difference (CFDs) and other derivatives covering forex, stocks and indices, cryptocurrencies, commodities, and Derived Indices. The company also provides online trading platforms and tools, including mobile trading, TradingView, Deriv MT5, cTrader, Deriv Trader, and Deriv Bot.
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