About the role

Fraud Analyst at Grubhub assessing fraud risks and developing detection strategies. Collaborating with teams to mitigate fraud losses through data-driven insights and analytic methods.

Responsibilities

Assess fraud risks, evaluate controls, and identify gaps to help prioritize fraud mitigation projects
Develop and implement fraud detection rules using segmentation, predictive models, hypothesis testing, and other analytical methods
Investigate and analyze the latest fraud trends, designing proactive strategies to address them
Own and manage key processes to reduce fraud losses, including real-time monitoring, alerting, and performance tracking
Partner with stakeholders across Finance, Technology, Product, Marketing, Logistics, Legal, PR, Security, and other teams to leverage both company and third-party data
Design and execute A/B tests to measure the effectiveness of fraud prevention strategies
Conduct ad-hoc analyses, clearly communicate results, and present actionable insights to both senior management and technical/non-technical stakeholders
Independently manage small to medium-sized projects, while supporting larger initiatives with cross-functional collaboration

Bachelor’s degree in a quantitative discipline (or equivalent work experience)
3–5 years of experience in fraud, risk, payments, analytics, or statistical roles
Proficiency in SQL and experience with R or Python for data analysis and statistical modeling
Hands-on experience with data visualization tools such as Tableau or Excel
Experience automating reporting and building monitoring dashboards
Knowledge of fraud vectors, tools, strategies, and infrastructure in high-volume digital environments