Fraud Data Analyst

We’re Adevinta, a global leader in digital marketplaces. Our household name brands, including Marktplaats in the Netherlands, mobile.de in Germany and leboncoin in France, reach hundreds of millions of people every month. 

We’re all about matchmaking, and our sites help people find whatever they’re looking for in their local communities – whether it’s a car, an apartment, a sofa or a new job. Every connection made or item found makes a difference by creating a world where people share more and waste less. 

Our brands are supported by global Tech Hubs in Barcelona, Amsterdam, Paris and Berlin. Their goal is to develop common global products and innovation platforms which all of our brands can use. This means using cutting edge technology to create highly scalable, customisable and secure products and components that free up development time and leverage our access to global data.

What you’ll do ​& Who you are

We are seeking a highly motivated and skilled Fraud Data Analyst to join our Content & Safety team. The Fraud Data Analyst will play a critical role in protecting our users and platform by identifying, analysing, and mitigating fraudulent activities. This position requires a strong analytical mindset, proficiency in data analysis tools, and a passion for problem-solving.

Key Responsibilities:

• Data Analysis: Collect, analyze, and interpret data from various sources to identify patterns and trends indicative of fraudulent behaviour;
• Fraud Detection: Help develop and implement fraud detection models and rules to proactively identify and prevent fraudulent activities and non-compliant behaviours in general;
• Reporting: Prepare and present regular reports on fraud trends, detection rates, and mitigation efforts to management and stakeholders;
• Collaboration: Work closely with cross-functional teams, including Engineering, Product, and Customer Support, to investigate and resolve fraud cases;
• Continuous Improvement: Stay up-to-date on the latest fraud trends and techniques, and continuously improve fraud detection and prevention strategies.

Key skills and qualifications:

• Bachelor's or Master's Degree;
• Experience: 2+ years of experience in data analysis, preferably in fraud detection, risk management or Trust & Safety area;
• Strong problem-solving and analytical skills;
• Knowledge of SQL and Python;
• Experience with data visualisation tools (e.g., Tableau) would be a plus;
• Excellent communication and presentation skills;
• English proficiency (written and verbal)

Your Identikit:

• Detail-oriented: Ability to identify subtle patterns and anomalies in data;
• Proactive: Takes initiative to identify and address potential fraud risks;
• Collaborative: Works effectively with cross-functional teams to achieve common goals;
• Adaptable: Thrives in a fast-paced and dynamic environment;
• Ethical: Maintains high standards of integrity and confidentiality.

Benefits

• Competitive compensation package

• Opportunity to shape the way we work. Your feedback and opinions are valued at all levels of the organisation

• Benefits including stock purchase plan and annual bonus plans

• Flexibility to work when and how you want - flexible hours, autonomy to set your own agenda, choice of phone and computer

• Smart Working Policy - work remotely some of the time, balanced with time in the office together with your team - between 5 and 45 days per quarter in the office depending on each team.

• ‘Work from anywhere’ weeks - up to four weeks working from anywhere, as long as you have an internet connection!

• Career development, including language classes and Adevinta Academies: specialised content built by our experts on Machine Learning, Agile, Leadership and more

For each working day, you will be eligible for a €8 meal voucher., You can use our local provider Fitprime to maintain physical well-being., You will receive 250 euros on the welfare platform after the birth of your child

Adevinta is an equal opportunity employer and we value diversity. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status or disability status.
If you feel like you don’t meet all of the requirements for this role but are interested, please consider applying anyway. Research suggests that women and individuals from underrepresented groups may self-select out of opportunities if they don’t meet 100% of the job requirements. We strongly encourage people from historically excluded groups to apply and look forward to speaking with you.