Director, Consumer Fraud Investigations
Listed on 2026-02-15
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IT/Tech
Data Analyst, Data Science Manager -
Finance & Banking
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 annualized transactional volume of $152 billion in 2024, and approximately 3,000 employees located in 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
Director, Consumer Fraud Investigations
You will have the opportunity to use and broaden your expertise by leading and transforming a team of 10-20 people focused on financial crime investigations driven by big data analytics and technical reviews, covering global consumer portfolios, including digital wallets, issuing / cards, local payment methods, digital banking, eCash solutions, playing a key role in understanding consumer and partner behaviour and directly influencing applied strategy and controls.
Your technical and analytic acumen will drive a strategic approach towards consumer fraud oversight, and you will become an expert on consumer behaviours.
You will be working closely with internal and external partners, at multiple levels, such as risk systems, product teams, engineering, data science, banks, merchants, as well as D and V level management, with a focus on issuing data driven reviews, articulate conclusions and define strategies for effective anti‑financial crime control implementation.
What Paysafe stands for:- 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 here.
How we work:We follow a hybrid working model, spending an average of three days per week at our office location.
This role will be based in our Dublin hub. The Dublin office is located in George's Quay in the heart of Dublin.
- Ensure FC KPIs are maintained within risk appetite
- Lead and support a team to move from single-case investigations to leveraging big data to conduct complex investigations into financial crime activities across portfolios (global traffic) analysing suspicious transactions (applying customer behaviour segmentation)
- Analyse transaction patterns to identify risks and organised crime indicators with big data focus, using advanced SQL / Python, developing the team’s skill to use data both for improved case review and to move from single-case reviews towards identifying emerging / evolving trends
- Manage relationships with partners/external banks/merchants
- Support automation, analytics and operational process improvements in financial crime detection
- Have 7+ years of experience in conducting complex data analysis / investigations
- Have successfully developed and managed a fraud/AML risk team
- Be degree educated in a STEM subject
- Bring proficiency in data analytics: SQL, Python, and expertise in using visualisation tools such as Tableau or Power BI
- Be comfortable with conducting product functionality reviews / investigating technical incidents which may have impacted risk exposure together with relevant stakeholders (incident management, engineering, product teams)
- Be an effective communicator, able to simplify / resolve problems and drive prioritization and solutions towards deployment
- Have full English proficiency: additional languages (Spanish, German) are an advantage
- Understanding of real time decisioning systems and other payments / automation solutions and tools (KYC, Sanctions, APIs)
- Any prior exposure to statistical computation (R, Stata)
- Prior exposure…
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