Data Analyst, Fraud

1 Month ago • 2 Years + • Data Analysis

Job Summary

Job Description

Adyen is a financial technology platform that provides payment, data, and financial products to customers like Meta, Uber, H&M, and Microsoft. The Fraud Insights team is seeking a Data Analyst specializing in merchant fraud across direct accounts and partner platform ecosystems. The role focuses on supporting risk management and operational efficiency, emphasizing outside-the-box thinking, strong analytical skills, and attention to detail. The team's success is measured by adapting and updating risk coverage and optimizing the framework for efficiency. The position involves detecting and preventing fraud by merchants misusing Adyen's services, developing typologies of fraud schemes, designing controls, delivering insights through dashboards and reports, collaborating with various teams, influencing stakeholders, and continuously improving fraud prevention frameworks.
Must have:
  • 2+ years of experience in fraud analytics
  • Proficiency in Python and SQL
  • Strong BI tools like Looker
  • Clear motivation for Merchant Fraud
  • Effective communication with technical/non-technical audiences
  • Understanding of fraud risk vs. operational impact
  • Curiosity and self-initiative
Good to have:
  • Experience with big data tooling (PySpark)

Job Details

This is Adyen

Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen,  everything we do is engineered for ambition.

For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster.

Data Analyst, Fraud

The Fraud Insights team is looking for a Data Analyst specializing in merchant fraud across both direct accounts and partner platform ecosystems who is eager to join our team. As part of the First Line, our job is to support both the risk management and operational efficiency of the organization. In our team, we place a big emphasis on outside-the-box thinking, and a combination of strong analytical and interpersonal skills. The domain we work under, Merchant Fraud,  requires attention to detail while maintaining a good idea of risk holistically. The success of our team is measured on two axes: first as the risk owner we are looking out to ensure we’re adapting and updating the risk coverage of our framework. Secondly, we are continuously looking to optimize our framework and make sure we’re covering the same or more risk with fewer workload. 

The fraud insights team is based in Amsterdam but operates with a global perspective. From payments to newer product developments, the environment we work on is continuously changing and we cannot afford to get comfortable. We don’t stop at analysis; we solve, implement, and monitor.
From scenario design and detection methods to forecasting and reporting, we work end-to-end to protect the business. Collaboration is core to how we operate: we work closely with data scientists, engineers, investigators, product managers, and compliance to turn ideas into real-world impact.
As an analyst on the team, you’ll play a key role in shaping and executing projects, taking ownership while being the go-to person for stakeholders, supported by a team lead for alignment.

What you’ll do

Your main focus is to detect and prevent fraud by merchants who might misuse Adyen's payment processing services and related banking products for illicit activities. This role involves understanding these payment flows and identifying fraudulent patterns at the merchant level.

  • Detect and Prevent Merchant Fraud: Identify fraudulent behavior by merchants misusing Adyen’s payment processing or banking products.
  • Develop Typologies: Build a deep understanding of merchant fraud schemes and model them effectively using data.
  • Design Controls: Improve detection methods and rules by collaborating with product and engineering teams, aiming for effective coverage with minimal false positives.
  • Deliver Insights: Build dashboards and reports to share findings, measure impact, and inform risk strategies.
  • Collaborate Across Teams: Work with investigators, compliance, product, engineering, and operations to bring ideas from concept to production.
  • Translate & Influence: Clearly explain complex topics to both technical and non-technical audiences, ensuring alignment and adoption.
  • Continuously Improve: Monitor effectiveness of implemented controls, contribute to process improvement, and scale our fraud prevention framework.

Who you are 

  • Experienced in Fraud -  You have 2+ years of experience in fraud analytics, ideally in payments, fintech, or financial services.
  • Technical Expert – Proficient Python and SQL. Strong with BI tools like Looker. Ideally you also have experience with big data tooling, i.e. PySpark
  • Financial Crime Warrior – Clear and strong motivation to work in the Merchant Fraud field.
  • Powerful Persuader + Communicator – Able to lead discussions effectively with technical and nontechnical audiences.
  • Business-Aware -  You know how to balance precision and recall, and make decisions that reflect both fraud risk and operational impact.
  • Curiosity-driven – Asks the right questions and finds out more about the content and technology we work with on their own initiative.

Our Diversity, Equity and Inclusion commitments 

Our unique approach is a product of our diverse perspectives. This diversity of backgrounds and cultures is essential in helping us maintain our momentum. Our business and technical challenges are unique, and we need as many different voices as possible to join us in solving them - voices like yours. No matter who you are or where you’re from, we welcome you to be your true self at Adyen. 

Studies show that women and members of underrepresented communities apply for jobs only if they meet 100% of the qualifications. Does this sound like you? If so, Adyen encourages you to reconsider and apply. We look forward to your application!

What’s next?

Ensuring a smooth and enjoyable candidate experience is critical for us. We aim to get back to you regarding your application within 5 business days. Our interview process tends to take about 4 weeks to complete, but may fluctuate depending on the role. Learn more about our hiring process here. Don’t be afraid to let us know if you need more flexibility.

This role is based out of our Amsterdam office. We are an office-first company and value in-person collaboration; we do not offer remote-only roles.

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About The Company

Adyen is a technology company that provides a single platform to accept payments anywhere in the world through any sales channel. Driven by a vision to improve customer experience, streamline processes, and ultimately increase revenue, Adyen enables businesses to process payments across online, mobile, and Point-of-Sale (POS) with over 250 payment methods in 187 transaction currencies. Over 3,500 businesses use the Adyen payment platform, including Facebook, Airbnb, Spotify, Groupon, Evernote, Booking.com, Yelp, Vodafone, Mango, Abercrombie & Fitch, O’Neill, and KLM. Adyen is headquartered in Amsterdam, with offices in San Francisco, São Paulo, Singapore, London, Paris, Berlin, Stockholm, Madrid, and Boston.


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