Financial Crime Analytics Expert at Paysafe Processing Limited

Dublin, Leinster, Ireland -

Full Time

Start Date

Immediate

Expiry Date

01 Aug, 26

Salary

0.0

Posted On

03 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Python, Tableau, Power BI, Data analysis, Financial crime investigation, Big data analysis, Risk management, Transaction monitoring, Technical analysis, Communication, Machine learning, Real-time decisioning, Fraud detection, Data visualization

Industry

Financial Services

Description

About Paysafe Paysafe is a global payments platform powering the experience economy, with a strong focus on the iGaming, video gaming, e-commerce, retail, travel and hospitality sectors. With 30 years of expertise in payment technology, Paysafe helps businesses and consumers lift every experience through seamless, secure payment solutions, including card payments, digital wallets such as Skrill, eCash solutions like PaysafeCard, and a suite of local payment methods. With approximately 2,900 employees across 12 countries and annualized transactional volume of $167 billion in 2025, Paysafe connects people and businesses worldwide through innovative digital payment experiences.   It starts here. Have a global impact on the world of payments. Role: Financial Crime Analytics Expert You are a technically skilled expert looking for the right place to apply your abilities! Look no further! You will have the opportunity to use and broaden your analytical expertise by applying your knowledge towards financial crime investigations, drive big data analysis and technical reviews, covering specific segments of global consumer portfolios, including digital wallets, issuing / cards, local payment methods, digital banking, eCash solutions, playing a key role in understanding consumer behaviour. You will be working closely with internal colleagues and external partners, such as risk systems, product teams, merchants, with a focus on issuing data driven reviews and articulate conclusions that will support effective anti-financial crime control implementation. This is a role that is expected to grow fast and gain rapid exposure across the business, so only apply if you are in for the real progress and independent collaboration! 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 will be based in our Dublin hub. The Dublin office is located in George's Quay in the heart of Dublin. The impact you will have: Ensure FC KPIs are maintained within risk appetite Conduct investigations into financial crime activities analysing suspicious transactions Analyse transaction patterns to identify risks and organised crime indicators with big data focus, using SQL / Python Support automation, analytics and operational process improvements in financial crime detection What we’re looking for: Have 3+ years of experience in conducting data / technical analysis Be degree educated in a STEM subject Bring experience working with databases / analytics: SQL, Python, and familiarity in using visualisation tools such as Tableau or Power BI Be an effective communicator, able to evaluate large data sets / clusters for review optimization and segmentation Have full English proficiency: additional languages (Spanish, German) are an advantage Any previous exposure to financial crime / fraud topics professionally or personally would be a distinct advantage Nice to haves: Knowledge payments / ecommerce / banking industries Knowledge of real time decisioning systems and other payments / automation solutions and tools Experience working with machine learning models (impact evaluation and usage calibration) A snippet of what you’ll get in return: Make your day work for you with our flexible working hours. You decide what your holiday looks like with the option to buy or sell your holiday and carry over up to 5 days into the next year. Enjoy social events on our roof top terrace with views onto St Pauls Cathedral. Our fully equipped facilities include showers, hairdryers and straighteners and fresh towels. Start your day with a free breakfast, fresh fruit and snacks. Take a breather in our dedicated wellbeing room. Spend time with those important to you with our enhanced paid family policies. Test our products Skrill and Neteller. Upon joining we will award you £50 into each wallet. Enjoy our discounts on memberships via vitality including, gyms, leisure centres, yoga/Pilates across the country. Need a new Laptop or TV? We offer support purchasing Apple and LG products via Stormfront technology. Join our six employee-led equality communities and help foster a workplace that celebrates diversity and create opportunities to collaborate and learn. Give back to the community with four paid charity days. Kickstart your weekend early with our summer hours during the months of June, July and August with a 3pm finish every Friday. Let’s not forget, we also offer: Private health insurance (pre-existing conditions are included) & dental insurance, income protection, life assurance and more. What to expect next: Phone screen with Talent Acquisition Video interview with the Hiring Manager. In-person interview Final HR interview with Talent Acquisition Equal Employment Opportunity Paysafe is an equal opportunity employer. We value diversity and are committed to providing a work environment of mutual respect to everyone without regard to race, color, religion, national origin, age, gender identity or expression, or any other characteristic protected by applicable laws, regulations and ordinances.

How To Apply:

Incase you would like to apply to this job directly from the source, please click here

Responsibilities

The role involves conducting investigations into suspicious financial transactions and analyzing large datasets to identify organized crime indicators. You will collaborate with internal teams to support the implementation of effective anti-financial crime controls and maintain key performance indicators.