Senior Fraud Analyst - Checkout.Com

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. 5+ 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.

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. 5+ 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.

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. 5+ 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.