At Mangopay, our mission is to power the payment infrastructure and payment operations of the world's biggest and most exciting marketplaces & platforms.
We provide marketplaces and platforms with powerful modular payment and regulatory solutions. Since 2013, we have enabled the success of some of the biggest names in e-commerce, retail, and cutting-edge platforms such as Vinted, Rakuten, Chrono24, La Redoute, Wallapop and over 2,500+ more.
Our team of 400+ is spread across Europe, with offices in Berlin, Dublin, Luxembourg, London, Madrid, Paris, and Warsaw. In an environment where marketplaces and fintech ventures are thriving, we're actively seeking exceptional individuals to tackle the challenges in our field and contribute to our growth. Our commitment to diversity is unwavering, and we are dedicated to promoting employee well-being, inclusivity, and equal opportunities. Joining Mangopay means you’ll be part of a dynamic, flexible, and rapidly growing team.
Fraud prevention systems are becoming more and more dependent on machine learning. Traditional rule based engines are no longer enough in this dynamically changing environment where fraud patterns change from day-to-day. We are looking for a Senior Data Scientist to join our AI Fraud Prevention team to fight fraud with the power of Data.
As a company one of our key areas is fraud prevention. We enable online merchants to sell more, earn more, and maximize every dollar they invest in risk management and customer acquisition. With us, you will experience a great variance of datasets - we protect Clients in areas of e-commerce, crypto, ridesharing, digital lending, BNPL and many more.
As a AI Fraud Prevention team we:
- Speak Python.
- Have experienced data scientists, machine learning engineers and Python developers onboard.
- Have a start-up attitude to problem solving and are allergic to over-engineering.
- Like to hack around and build our own set of tools in line with MLOps best practices.
- Practice applied machine learning - we continuously research new algorithms & look for new data sources.
- Have fun as we do so.
We are looking for a Senior Data Scientist who will work with the team to:
- Build a product that helps detect:
- fraudulent behavior in payments
- identity theft and account takeover
- Investigate fraud patterns - dissect data, look for hints of fraudulent activity.
- Research new algorithms & look for new data sources.
- Contribute to our internal tools - the idea of automation is close to our hearts.
- Train, evaluate and monitor ML models that process millions of transactions
- Participate in data science projects that directly impact our Product and clients’ bottomline.
What we would like to see (essential):
- At least 5 years of professional experience in Data Science.
- Fluent command of Python for data science (Pandas, Numpy, Scikit-learn, etc.).
- Familiarity with SQL, Postgres-specifically is a plus.
- Excellent understanding of statistics.
- Familiarity with deep learning frameworks
- Excellent communication skills and business mindset.
- Very good command of English (B2 is a must).
Things we would LOVE to see (desirable):
- Previous experience in software development or data engineering.
- Familiarity with credit scoring or fraud detection.
- Previous experience in Attention-based architectures (Transformers, MoEs)
If this role sounds of interest to you, and matches your experience, get in touch via the apply button!
We care about equal employment opportunities, so all qualified applicants will receive equal consideration regardless of their race, colour, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status.
Top Skills
What We Do
Mangopay is a modular and flexible payment infrastructure provider. We power payments for the world's largest and most innovative marketplaces and platforms, including Vinted, Chrono24, Wallapop, La Redoute, Rakuten and many more. Partner with us to select and connect the products you need to succeed, from pay-in to payout and everything in between
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