Senior Data Analyst, Fraud
Amsterdam
Adyen
End-to-end payments, data, and financial management in one solution. Meet the financial technology platform that helps you realize your ambitions faster.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.
deliver innovative and ethical solutions that help businesses achieve their ambitions faster.
Senior Data Analyst, Fraud
AML & Screening Insights is looking for a Senior Data Analyst specializing in Fraud that 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, Fraud, requires attention to detail while maintaining a good idea of risk holistically. The success of our team is measured on two axis: 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 Insights team is based in Amsterdam, however works on our frameworks from 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 work closely with data scientists, investigators, Compliance, and Product on a variety of projects from developing scenarios and detection methods and risk assessments, to forecasting and training.
As a senior analyst in our team you’ll be responsible for shaping the route that brings an idea to reality. You play a big part in both the execution and the day to day steering of the project(s) you are involved with. Our stakeholders have you as the first point of contact for matters related to the project with a team lead backing you up and supporting you with the alignment to our roadmap.
What you’ll do
- Protect millions of transactions from fraud threats.
- Identify typologies, areas for efficiency and measuring of impact of fraud across Adyen’s business.
- Optimize Rules & Controls: Improve existing fraud controls by creating data-driven insights to multiple product teams, ensuring minimal false positives while preventing fraud losses.
- Deliver insights in the form of dashboards or reports operational and regulatory reports and challenges.
- Analyze information using different tools; e.g. using a data analyst toolkit or using technology to identify patterns trends, and relationships to propose the appropriate solution to a problem.
- Gain in-depth understanding of how our high tech, global platform processes payments, onboards customers, stores customer data, and monitors transactions.
- Understand Adyen's internal policies, procedures, and different business lines.
- Communicate iterations, metrics, and developments to relevant stakeholders in a transparent and straightforward manner.
- Commit to constantly optimize and document processes and workflows, scaling the platform to its next phase.
- Collaborate with other teams such as Compliance, Engineering and other Operations team to deliver sophisticated solutions
- Own and deliver project planning and guide and support team members in their decision-making using data and business intelligence tools.
Who you are
- Experienced – A minimum of 3 years of experience working as a data analyst in Fraud.
- Under Pressure Project Manager – Plans and organizes high-stakes projects independently and efficiently, in a proactive manner.
- Technical Expert – Proficient Python and SQL. Strong with BI tools like Looker. Ideally you also have experience with big data tooling, i.e. PySpark, Hadoop and Airflow.
- Financial Crime Warrior – Clear and strong motivation to work in the Fraud field.
- Powerful Persuader + Communicator – Able to lead discussions effectively with technical and nontechnical audiences.
- Curiosity-driven – Asks the right questions and finds out more about the content and technology we work with on their own initiative.
- Coaching mentality - Open to share their knowledge and experience by guiding junior colleagues in their journey.
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 [CITY NAME] office. We are an office-first company and value in-person collaboration; we do not offer remote-only roles.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow Big Data Business Intelligence Engineering Hadoop Looker PySpark Python SQL
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