Fraud Data Analyst

About the role:

We’re on a mission to make simple, secure money transfers accessible to everyone, and fraud prevention is one of the keys to the goal. As a Fraud Data Analyst, you’ll play a key role in protecting Paysend and our customers from evolving threats.

You’ll use your expertise in financial crime with a primary focus on fraud detection to build and improve our framework built with a rule-based approach, analyse suspicious activity, and ensure we stay one step ahead of fraudsters without compromising on speed or user experience. This is a high-impact role where your work directly supports trust, safety, and seamless money transfers for people worldwide.

What You'll Do (Responsibilities):

• Design, build, and maintain rule-based fraud detection logic to identify and prevent suspicious activity.

• Support the continuous improvement of our financial crime & fraud detection framework, including rule logic, workflows, and supporting processes, balancing risk reduction with user experience.

• Leverage your analytical skills and knowledge of available data platforms (e.g. Databricks, internal tools) and languages such as SQL and Python to detect and investigate fraud, monitor key metrics, assess the effectiveness of the framework, and generate actionable insights.

• Collaborate with Product, Risk & Compliance, and Operations Teams to respond to the threats and develop scalable solutions.

• Help document the framework and detection logic to improve visibility, clarity, and cross-team alignment.
  
  

What You’ll Need To Be Successful In This Role:

• Solid experience in fraud analytics, ideally in a fintech or high-volume B2C environment.

• Strong understanding of rule-based fraud detection systems and how to design, tune, and evaluate them.

• Understanding of key fraud typologies and awareness of industry standards and emerging trends.

• Advanced SQL skills and hands-on experience with data platforms like Databricks; Python is a plus; comfort navigating BI or visualization tools (e.g. Looker, Tableau, Power BI) to explore and communicate data even at basic level is a plus as well.

• Knowledge of Visa and Mastercard tools and data (e.g. AVS, ANI, 3DS), familiarity with Visa and Mastercard fraud and chargeback monitoring programs.

• Practical knowledge of payment methods (e.g., cards, tokenization, Apple Pay, Google Pay, etc.).

• Proactive, curious, and invested in building a safe, scalable framework that protects users and supports business growth.

Why Join Paysend?

• Make a Global Impact: Directly impact millions of users worldwid

• Accelerate Your Career: Benefit from internal mobility, mentoring programs, and continuous learning opportunities

• Thrive in a Connected, Global Organization: Collaborate with colleagues across our international hubs and more

• Embrace a Principle-Driven & Focused Culture: Work in an organization guided by strong principles and values that actually help you achieve more than you thought possible

• Enjoy Competitive Compensation and Benefits: Receive a competitive salary, benefits, and flexible work arrangements