דרושים Fraud Analyst בתל אביב

**Company Description

**We’re Checkout.com – you might not know our name, but companies like eBay, ASOS, Klarna, Uber Eats, and Sony do. That moment when you check out online? We make it happen.

Checkout.com is where the world checks out. Our global network powers billions of transactions every year, making money move without making a fuss. We spent years perfecting a service most people will never notice. Because when digital payments just work, businesses grow, customers stay, and no one stops to think about why.

With 19 offices spanning six continents, we feel at home everywhere – but London is our HQ. Wherever our people work their magic, they’re fast-moving, performance-obsessed, and driven by being better every day. Ideal. Because a role here isn’t just another job; it’s a career-defining opportunity to build the future of fintech.

**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.
• 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.
• Payments fraud experience - 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!

****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