Location
London - Hybrid working model with an average of three days per week at the office located on Gresham Street, near St Paul’s Cathedral, with excellent transport links.

Hours
Flexible working hours with options to support work-life balance.

Salary
Negotiable

About the Role
As a Financial Crime Analytics Expert at Paysafe, you will apply and expand your analytical expertise to support financial crime investigations and drive big data analysis across global consumer portfolios. You will focus on segments including digital wallets, issuing/cards, local payment methods, digital banking, and eCash solutions, playing a key role in understanding consumer behaviour. Collaborating closely with internal teams such as risk systems, product teams, and merchants, you will deliver data-driven reviews and articulate conclusions that support effective anti-financial crime controls. This role offers rapid growth and exposure across the business, ideal for candidates seeking real progress and independent collaboration.

About Paysafe
Paysafe is a global payments platform with 30 years of expertise, serving sectors such as iGaming, video gaming, e-commerce, retail, travel, and hospitality. With approximately 2,900 employees across 12 countries and an annualized transactional volume projected at $167 billion in 2025, Paysafe delivers seamless, secure payment solutions including card payments, digital wallets like Skrill, eCash solutions such as PaysafeCard, and a suite of local payment methods. Paysafe values openness, focus, courage, and pioneering spirit, fostering a culture driven by equality, development, social responsibility, and wellbeing.

The Impact You Will Have
- Ensure financial crime KPIs are maintained within risk appetite
- Conduct investigations into suspicious financial crime activities
- Analyse transaction patterns to identify risks and organised crime indicators using big data techniques with SQL and Python
- Support automation, analytics, and operational process improvements in financial crime detection

What You’ll Get in Return
Flexible working hours, holiday buy/sell options, and carryover days. Social events on a rooftop terrace with views of St Paul’s Cathedral. Fully equipped facilities including showers and wellbeing rooms. Free breakfast, fresh fruit, and snacks. Enhanced paid family policies. Access to Paysafe products Skrill and Neteller with a joining bonus. Discounts on memberships via Vitality including gyms and yoga/Pilates. Support purchasing Apple and LG products. Participation in employee-led equality communities. Four paid charity days. Summer hours with early Friday finishes. Comprehensive private health and dental insurance, income protection, life assurance, and more.

Experience
- Minimum 3 years conducting data and technical analysis
- Experience working with databases and analytics tools such as SQL and Python
- Familiarity with data visualisation tools like Tableau or Power BI
- Previous exposure to financial crime or fraud topics is a distinct advantage

About You
- Degree educated in a STEM subject
- Effective communicator capable of evaluating large data sets for review optimisation and segmentation
- Full English proficiency; additional languages such as Spanish or German are advantageous
- Self-motivated and able to work independently in a fast-growing role

Qualifications
- Degree in a STEM field or equivalent experience

Nice to Haves
- Knowledge of payments, e-commerce, or banking industries
- Experience with real-time decisioning systems and payment automation tools
- Familiarity with machine learning models, including impact evaluation and calibration