Fraud Data Analyst

14 October 2024
Full Time
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Deadline date:

Job Description

Company Description

Checkout.com is one of the most exciting fintechs in the world. Our mission is to enable businesses and their communities to thrive in the digital economy. We’re the strategic payments partner for some of the best known fast-moving brands globally such as Wise, Hut Group, Sony Electronics, Homebase, Henkel, Klarna and many others. Purpose-built with performance and scalability in mind, our flexible cloud-based payments platform helps global enterprises launch new products and create experiences customers love. And it’s not just what we build that makes us different. It’s how.

We empower passionate problem-solvers to collaborate, innovate and do their best work. That’s why we’re on the Forbes Cloud 100 list and a Great Place to Work accredited company. And we’re just getting started. We’re building diverse and inclusive teams around the world — because that’s how we create even better experiences for our merchants and our partners. And we need your help. Join us to build the digital economy of tomorrow.

Job Description

We are looking for a professional Risk decision scientist to join our Risk Analytics team, who is passionate about preventing fraud and protecting customers

We are a data driven company with billions(!) of data points per year. If you are highly-motivated data enthusiastic with experience of working on automated risk strategies, models and rules, if you are technical, creative and a team player – you belong with us. 

This role will require a high level of adaptability, proactive attitude.

Key responsibilities

  • Conduct an in-depth analysis of Risk threats, suggesting possible solutions, estimating impact
  • Detect and mitigate fraudulent attacks from various types
  • Analyze and understand of new fraud trends, patterns, and techniques
  • Collaborate with internal colleagues across departments, including Product Managers, Data Scientists, etc. to communicate fraud trends and share best practices

Qualifications

  • Expertise in analyzing large amounts of data and making decisions based on limited information
  • SQL experience working with complex queries
  • Ability to communicate the results of analyses
  • Excellent expression skills both verbal and in writing in English are a must
  • Familiarity with Python and the Pandas package – an advantage
  • 1-2 years of analytical work experience with a focus on data-driven analysis – preferably for fraud prevention

Additional Information

Hybrid Working Model: All of our offices globally are onsite 3 times per week (Tuesday, Wednesday, and Thursday). We’ve worked towards enabling teams to work collaboratively in the same space, while also being able to partner with colleagues globally. During your days at the office, we offer amazing snacks, breakfast, and lunch options in all of our locations.

Apply without meeting all requirements statement 

If you don’t meet all the requirements but think you might still be right for the role, please apply anyway. We’re always keen to speak to people who connect with our mission and values.

We believe in equal opportunities

We work as one team. Wherever you come from. However you identify. And whichever payment method you use. 

Our clients come from all over the world — and so do we. Hiring hard-working people and giving them a community to thrive in is critical to our success.

When you join our team, we’ll empower you to unlock your potential so you can do your best work. We’d love to hear how you think you could make a difference here with us. 

We want to 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. We’ll be happy to support you.

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