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Checkout.com is a global fintech platform powering over 10 billion transactions yearly for more than one billion shoppers worldwide. The company operates in 20 offices across six continents and serves major brands including eBay, Spotify, Klarna, Uber, and Sony.
You will join the Fraud Analytics team as a Senior Fraud Analyst, working at the intersection of data analysis, fraud strategy, and automation. The role involves developing and refining fraud detection strategies by analyzing complex datasets and identifying fraud patterns. You will partner with cross-functional teams including software engineers, data scientists, and commercial stakeholders to develop scalable fraud solutions that protect large enterprises from fraud.
Key responsibilities include:
- Developing and refining fraud detection strategies by analyzing complex datasets and identifying fraud patterns
- Partnering with cross-functional teams (software engineers, data scientists, commercial stakeholders) to develop scalable fraud solutions
- Conducting deep-dive risk analyses leveraging multiple data sources to assess fraud threats and define innovative solutions
- Monitoring and automating fraud detection processes to enhance efficiency and effectiveness
The team operates in a data-rich, fast-paced environment processing billions of data points annually. This is a high-impact role with significant ownership and cross-functional collaboration in a team with room for growth. The position is hybrid, requiring presence in the Midtown Tel Aviv office on Tuesday, Wednesday, and Thursday.
REQUIREMENTS:
- 5+ years of hands-on experience in data analytics
- Payments fraud experience (required)
- Experience working with external stakeholders/merchants
- Expertise in SQL with 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
- Python experience (Pandas, etc.) for data analysis is a plus
