Fraud Data Analyst - Merchant Facing
Posted 17 days ago · 0 applicants
Saving, applying or scoring takes a few seconds to set up your free account.
The role in plain words
This role involves analyzing large payment datasets to identify fraud patterns and refine automated detection strategies. Day-to-day responsibilities include collaborating with engineering, data science, and commercial teams, as well as working directly with external merchants and stakeholders. You will also conduct deep-dive risk analyses and help automate fraud detection processes.
- 3+ years of hands-on experience in data analytics
- Experience working with external stakeholders/merchants
- Expertise in SQL with the ability to write and optimize complex queries
- Strong analytical skills, problem-solving mindset, and ability to extract insights from large datasets
- Ability to work cross-functionally in a fast-paced, data-driven environment
- Experience with Python (Pandas, etc.) for data analysis
Extracted from the job description · kept up to date automatically
Who this suits
This role suits data analysts with at least 3 years of experience, strong SQL skills, and a background in payment fraud working with external stakeholders or merchants. It is less ideal for candidates lacking payment industry experience or those without complex SQL expertise.
Full job description
Original listing · kept for referenceCompany Description
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.
Job Description
About the role
As we scale and evolve our fully automated fraud prevention strategies, we are seeking a Data Analyst to join our growing Fraud Analytics team.
We operate in a data-rich, fast-paced environment, processing billions of data points annually, and play a critical role in safeguarding large enterprises from fraud. In this role, you will work at the intersection of data analysis, fraud strategy, and automation, collaborating closely with engineering, data science, and commercial teams to develop scalable fraud detection solutions.
This is a high-impact role with significant ownership and cross-functional collaboration in a team with tremendous room for growth. If you are highly motivated, data-driven, and thrive in a fast-moving environment - you belong with us.
Key Responsibilities
• Develop and refine fraud detection strategies by analyzing complex datasets and identifying fraud patterns.
• Partner with cross-functional teams, including software engineers, data scientists, and commercial stakeholders, to develop scalable fraud solutions.
• Conduct deep-dive risk analyses, leveraging multiple data sources to assess fraud threats and define innovative solutions.
• Monitor and automate fraud detection processes to enhance efficiency and effectiveness.
Requirements
• 3+ years of hands-on experience in data analytics.
• Payments fraud experience.
• Experience working with external stakeholders/merchants.
• Expertise in SQL with the ability to write and optimize complex queries.
• Strong analytical skills, problem-solving mindset, and ability to extract insights from large datasets.
• Ability to work cross-functionally in a fast-paced, data-driven environment.
• Fluent English with excellent written and verbal communication skills.
• Experience with Python (Pandas, etc.) for data analysis - a plus.
If you're passionate about fraud prevention, thrive in a high-impact role, and enjoy working with big data to drive real-world solutions, we’d love to hear from you!
Additional Information
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
Questions about this role
- This listing did not state a salary. We only show pay when the employer publishes it.
- Hybrid
- 3+ years of hands-on experience in data analytics, Experience working with external stakeholders/merchants, Expertise in SQL with the ability to write and optimize complex queries, Strong analytical skills, problem-solving mindset, and ability to extract insights from large datasets, Ability to work cross-functionally in a fast-paced, data-driven environment