Manager, Financial Crime Investigations, Fraud
Listed on 2026-02-15
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IT/Tech
Data Analyst, Data Security
About Paysafe
Paysafe is a leading payments platform with an extensive track record of serving merchants and consumers in the global entertainment sectors. Its core purpose is to enable businesses and consumers to connect and transact seamlessly through industry‑leading capabilities in payment processing, digital wallet, and online cash solutions. With 29 years of online payment experience, an annualised transactional volume of $152 billion in 2024, and approximately 3,000 employees located in more than 12 countries, Paysafe connects businesses and consumers across 260 payment types in 48 currencies around the world.
Delivered through an integrated platform, Paysafe solutions are geared toward mobile‑initiated transactions, real‑time analytics and the convergence between brick‑and‑mortar and online payments.
Further information is available at
Department: Consumer Risk (Digital Wallets)
Direct Reports: Investigations Experts
- Lead and develop the Financial Crime Investigations (and monitoring) team covering fraud and first‑level AML typologies across consumer products (wallets, issuing/cards, local payment methods).
- Drive analytics‑led investigations using patterns, big‑data signals and tooling; partner with Risk Systems/Analytics to calibrate rules and models, and feed improvements back into monitoring.
- Own end‑to‑end case management—from intake, classification, automation and analysis to remediation, reporting and control feedback—ensuring SLA adherence and high evidentiary standards.
- Collaborate internally and externally with key stakeholders (risk product, risk systems, risk data science, banking partners, merchants, etc.).
- Being open and honest.
- Keeping focused.
- Operating with courage.
- Pioneering the future.
Our values and culture are driven by Equality, Development, Social Responsibility and Wellbeing.
If you want to find out more about life at Paysafe, check out our careers page.
We follow a hybrid working model, spending an average of three days per week at our office location. This role can be hired in either our London or Dublin hub. The London office is located in Gresham Street next to St Paul’s Cathedral with easy access and transport links via St Paul’s, Bank, Cannon Street, City Thameslink, Liverpool Street, Farringdon, Mansion House.
The Dublin office is located in George’s Quay in the heart of Dublin.
- Team leadership & operations: coach, prioritise workload, set quality thresholds; ensure documentation in case management systems; coordinate cross‑functional support (Customer Care, Finance, Product, Compliance).
- Reporting & governance: produce status reports; track KPIs (losses, recovery, case SLA, reimbursement metrics); maintain audit‑ready records; uphold Consumer Duty and regulatory standards.
- Investigations & decisions: oversee complex fraud/ATO/social‑engineering cases; validate hypotheses, collect and preserve evidence; issue operational actions (account restrictions/closures, reactivation steps).
- Controls & continuous improvement: identify control gaps; propose rule adjustments; support automation and process optimisation; contribute to policy/procedure updates impacting investigations.
- Stakeholder management & collaboration: lead internal projects towards delivery (automation, optimisation and process management).
- 5+ years in fraud/financial crime investigations within payments/e‑commerce/gaming/banking.
- A good level of experience leading operational teams.
- Hands‑on experience in big data/analytics (skilled in one or more of SQL, Splunk, Python), good understanding of BI tools (Power BI/Tableau), and case management systems (Salesforce); proficiency in MS Office.
- Solid grasp of current consumer fraud typologies and behaviours (UK and ROW), regulatory expectations (FCA/CBI, others).
- Excellent communication, stakeholder management, and decision‑making under time pressure.
- Understanding of real‑time decisioning/risk engines (e.g., Feedzai/Threat Metrix), machine‑learning model…
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