Fraud Data Science Lead

Job Description

We empower businesses in the digital economy, and we know that every payment counts. Our Payment Performance team’s mission is to manage and optimize merchants’ payment flow, to achieve optimal conversion, compliance and cost, while keeping fraud low. 

Checkout.com is looking for a Data Scientist to work on Fraud Machine Learning and Data Analysis, you'll develop and implement machine learning models to detect and prevent fraud, analyze complex data sets for patterns, and collaborate with teams to enhance fraud detection systems. You'll stay updated on emerging threats, ensure data integrity and compliance, and communicate insights to stakeholders to support informed decision-making.

You will work closely with other Data Scientists leveraging cutting-edge technology and data insights. You will also collaborate regularly with other teams and cross-functional stakeholders to establish priorities and drive merchant frauds down.
 

What you will be doing:

• Managing and developing the Data Scientists to help them wake up motivated and with a smile on their face
• Guiding technical decisions around ML - both theoretical and practical for models and tooling
• Be a knowledge leader in the payment fraud world
• Drive the roadmap forward for throughout senior leadership and the executive team
• Drive a culture of cross-team learning and knowledge sharing
• Periodically be a consultant to merchants to understand and solve their fraud problems
• Implement robust measurements to assess how proposed solutions impact merchants' performance and revenue, providing valuable insights for both internal and external ROI.
• Collaborate with various teams across the company to ensure an outstanding merchant experience and feed requirements for product development

Qualifications

• Curious
• Ability to take initiative and work autonomously
• Years of managing a team of Risk/Fraud Data Scientists
• Have 5+ years experience as Data Scientist in a data-intensive environment, working with large & diversified data sets
• Feel comfortable writing SQL and Python code and manipulating on big data - even though your code isn’t expected to go into production
• Strong Machine Learning knowledge - both theoretical and practical
• Good communication skills
• Challenge processes & decisions to make it better for everyone
• Data driven, you clearly define success metrics and measure progress against them
• Flexible, adaptable and has a willingness to learn
• Good knowledge of today’s major e-commerce and payments technologies and trends is a plus
• Experience with Git & Spark, Databricks, Retool, APIs, knowledge of the Payment Industry is a plus

Additional Information

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.

Take a peek inside life at Checkout.com via

• Our Culture video https://youtu.be/BEwnpHuadSw
• Our careers page https://www.checkout.com/careers
• Our LinkedIn Life pages bit.ly/3OaoN1U  
• Our Instagram https://www.instagram.com/checkout_com/