Fraud Prevention Officer (Shift Work)
About the role
St Julian's Risk Solutions Ltd is a growing risk & compliance provider serving iGaming and fintech clients across Europe. Based in St Julian’s, our team focuses on fast, accurate decisioning to protect client revenue while delivering a smooth customer experience.
The Fraud Prevention Officer will work in a busy, structured shift team responsible for transaction monitoring, automated alerts review, case investigations and KYC checks. You will use risk platforms and internal tooling to assess potentially fraudulent activity, escalate cases to senior investigators or compliance when necessary, and contribute to improving detection rules and workflows.
This role suits someone who thrives in a fast-paced environment, is comfortable working rotating shifts including nights and weekends, and wants exposure to international payment flows and iGaming-style risk patterns. We offer on-the-job training, defined career paths into senior investigation or risk analysis roles, and an operational team with a strong emphasis on collaboration and continuous improvement.
About St Julian's Risk Solutions Ltd
St Julian's Risk Solutions Ltd operates as a specialist risk and fraud team supporting iGaming and fintech clients. We combine rule-based detection with manual investigation and partner with payments and compliance teams to reduce losses and ensure regulatory alignment.
What you can expect
- Central St Julian’s office close to public transport and amenities
- Shift allowance and competitive monthly salary
- Clear progression paths into Senior Analyst and Team Lead roles
- Ongoing internal training on fraud tools and payment methods
Key responsibilities
- Monitor real-time alerts and transactional queues for signs of fraud, money laundering or policy breaches
- Investigate flagged accounts and transactions, collecting evidence and documenting findings in the case management system
- Perform basic to intermediate KYC checks, verifying identity documents and PEP/sanctions screening where required
- Make informed recommendations on account actions (blocks, restrictions, payments holds) according to procedures
- Escalate complex cases to Senior Investigators or Compliance and assist in cross-team investigations
- Liaise with payments, chargeback and customer support teams to obtain transaction details and resolve disputes
- Contribute to tuning detection rules, reducing false positives and improving detection accuracy
- Prepare daily/weekly incident reports and maintain accurate case logs for audit purposes
Requirements
- Minimum 1–2 years’ experience in fraud prevention, payments investigations, AML/KYC or a related role
- Strong written and spoken English; Maltese or Italian is an advantage
- Comfortable working rotating shifts including nights, weekends and public holidays
- Proven attention to detail and ability to make sound decisions under time pressure
- Experience with case management systems or fraud platforms (e.g. Riskified, Sift, Actimize) or willingness to learn
- Good numeric skills and familiarity with Excel (filters, pivot tables) for reporting
- Right to work in Malta (EU citizens or candidates able to present a valid work permit/documentation)
- Professional attitude to handling sensitive customer data and maintaining confidentiality
Benefits
- Shift allowance for evening and night shifts
- Performance-related bonuses and monthly incentives
- Private health insurance after probation
- Annual leave starting at 22 days, plus public holidays
- Structured training programme and internal promotion opportunities
- Transport allowance or contribution towards commuting costs
Work schedule
Typical week: 5 days per week on a rolling roster, including evenings, nights, weekends and public holidays.
- Early shift: 06:00–14:00
- Late shift: 14:00–22:00
- Night shift: 22:00–06:00
How to apply
Send your CV and a short cover note explaining your fraud prevention experience and availability for shift work to the email below. Please include your earliest start date and any visa/permit details if applicable.
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