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.
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.
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.
3+ years of hands-on experience in data analytics.
Payments fraud experience.
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.
This position is open to all candidates.
