Data Scientist I, Risk Analytics
Key responsibilities
- Data Infrastructure & Pipeline Execution — Develop and maintain robust ETL pipelines, data models, and data controls using GCP, BigQuery, dbt, and Cloud Composer.
- You will ensure a clean, reliable single source of truth for the wider Risk organization.
- Tooling & Process Optimization — Build intuitive custom UIs to directly support the Risk Operations team, making their day-to-day tasks and case management workflows faster and easier.
- Actionable Dashboarding — Design, build, and maintain Looker dashboards that reduce manual ad-hoc requests and accelerate cross-functional decision-making.
- AI Innovation & Modeling Infrastructure — Build the data infrastructure required to run anomaly detection and credit risk models.
- You will also help the team innovate by integrating new AI-based tools into our risk decisioning workflows.
- Cross-Functional Partnership — Act as the trusted data partner for the Risk Operations team.
- You will rapidly execute ad-hoc data requests, troubleshoot data issues, and translate complex engineering data into clear business insights. #OneTeam About You
- Data-Driven Problem Solver — You have 2+ years of applied working experience in Data Science, Data Engineering, or Data Analytics, with a proven track record of successfully delivering cross-functional projects.
- Technical Architect — Advanced SQL fluency is non-negotiable.
- You have a good understanding of database management, ETL pipelines, and data orchestration.
- The Modern Tech Stack — You will be working hands-on with tools like GCP, BigQuery, dbt, Looker, Cloud Composer, Databricks, GitHub, and ReTool.
- Any prior experience with these, or similar cloud-based data platforms, will be considered a strong advantage.
- Detail-Obsessed Storyteller — You are an excellent communicator who can distill complex, "messy" data into clear narratives.
- You care deeply about data quality and strict validation before presenting findings to non-technical stakeholders. #NoRoomForApproximation
- Bonus Points — Domain experience in Payments, Fraud, E-commerce, or Credit Risk.
What the company offers
- Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one.
- Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver.
- It’s a place where ambition gets met with opportunity, and where your growth is in your hands.
- We work as one team, and we back each other to succeed.
- So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here.
- It’s important we set you up for success and make our process as accessible as possible.
- So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable.
- Life at Checkout.com We understand that work is just one part of your life.
- Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection.
- Curious about what it’s like to be part of our team?
- Visit our Careers Page to learn more about our culture, open roles, and what drives us.
- For a closer look at daily life at Checkout.com, follow us on LinkedIn and Instagram
About Checkout.com
We’re Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. We are looking for a highly technical, problem-solving Data Scientist I to join our Risk Analytics team in Ebene, Mauritius. You will be joining our dedicated Data Analytics and Tooling squad - the team responsible for building the robust data pipelines, interactive dashboards, and custom applications that empower our global Risk Operations to make fast, accurate decisions. At Checkout.com, high performance is a science, not an accident. In this role, you will be instrumental in optimizing how we manage risk through data. You will help build and scale our data infrastructure to run predictive anomaly detection models. We are actively scaling into new products, so you will have the ground-floor opportunity to integrate AI tools and shape our modern tech stack. You will be part of a dynamic team of builders who thrive on turning complex, high-volume data into scalable, automated solutions.
Ébène