As a data scientist part of a Fraud Prevention cross-functional team, you will be responsible for developing, deploying, and maintaining models to detect fraud in card-present and banking transactions across various markets. Daily tasks include monitoring and evaluating the performance of existing models, collaborating with strategy stakeholders to develop risk policies, and conducting feature engineering to identify and adapt to new fraud patterns.   Your routine will include

• Developing and maintaining fraud detection models using machine learning techniques
• Monitoring, evaluating, and enhancing the performance of fraud models in production
• Collaborating with cross-functional teams, including risk management, product, and operations, to design and refine risk policies
• Performing extensive feature engineering to adapt to emerging fraud trends and market conditions
• Continuously improving data pipelines, ensuring reliable and scalable solutions
• Providing insights and recommendations to support fraud prevention strategies

You will be great for this role if you have

• Proven experience as a Data Scientist in a production environment, with a track record of building, deploying, and maintaining machine learning models effectively
• Proficiency in Python, with strong production-ready coding skills, ensuring the ability to create scalable and efficient solutions
• Experience with data manipulation, statistical analysis, and machine learning techniques applied to real-world scenarios
• Familiarity with anomaly detection, supervised/unsupervised learning, and risk scoring will be a plus
• Willingness and ability to thrive in a collaborative, in-office environment (hybrid work model, 3x a week at the office)
• Excellent problem-solving and critical thinking skills, with the ability to approach complex challenges analytically and devise effective solutions
• Strong communication and presentation skills, capable of clearly conveying complex data insights to technical and non-technical stakeholders
• Experience with Pyspark is a plus
• Experience with Tableau or other data visualization tools is a plus
• Domain expertise in fraud detection, financial crimes, or compliance is a plus
• Familiarity with cloud platforms (e.g., AWS, GCP) and experience deploying machine learning models in such environments is a plus

Why you should join SumUp

• We’re a truly global team of 3200+ people from 80+ countries, spread across 4 continents

• The opportunity to work on large-scale fintech products used by millions of small businesses around the world

• A dedicated annual Learning & Development budget (R$10.000/year) for attending conferences and/or advancing your career through further education

• Enrollment in our virtual stock ownership program - you will own a stake in SumUp’s future success

• A corporate pension scheme 

• Access to the SumUp Sabbatical, our employee assistance program for mental health as well as fitness and language learning benefits.

• You’ll attend global offsites and/or hackathons

About SumUp

Be empowered to do more that matters.

At SumUp, we're on a mission to empower small businesses across the globe by providing simple and affordable tools that allow them to thrive. Today, over 4 million businesses in 36 markets rely on SumUp as their financial partner to manage payments, finance, and customer relationships.

Our commitment to small businesses is reflected in our diverse team of over 3,000 SumUppers from over 90 nationalities, united by global collaboration and an innovative mindset. Our core values lay the foundation for who we are and what we stand for, shaping our work culture and driving our success. We foster inclusivity and a continuous learning culture, providing a safe space for personal and professional growth. Our differences make us unique and strong as we strive to create an environment where everyone belongs and feels supported, no matter how they identify. 

Job Application Tip

We recognise that candidates feel they need to meet 100% of the job criteria in order to apply for a job. Please note that this is only a guide. If you don’t tick every box, it’s ok too because it means you have room to learn and develop your career at SumUp.