Analyst, Fraud Strategy
About the position
As a Fraud Analyst, you will play a critical role in protecting the business from fraud losses while enabling sustainable growth. You will leverage data, analytics, and cross-functional collaboration to design fraud prevention strategies, build solutions, and deliver actionable insights that drive impact.
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.
Requirements
• Bachelor’s degree in a quantitative discipline (or equivalent work experience).
• 3–5 years of experience in fraud, risk, payments, analytics, or statistical roles.
• Prior exposure to statistics and machine learning modeling techniques through coursework or professional experience.
• 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.
• Strong quantitative, analytical, and problem-solving skills with sharp attention to detail.
• High level of inquisitiveness, initiative, and critical thinking.
• Proven ability to translate analysis into implementable strategies and rules.
• Strong project management skills, including cost-benefit assessment, prioritization, documentation, and follow-through.
• Excellent communication skills, able to convey findings clearly to technical and non-technical stakeholders.
Nice-to-haves
• Experience in a digital marketplace or platform environment with high transaction volumes.
• Familiarity with advanced fraud detection systems, real-time monitoring frameworks, or machine learning approaches.
• Strong track record of effectively presenting insights to senior management and executive stakeholders.
Benefits
• We offer a competitive salary package including equity and 401K.
• Additionally, we provide multiple medical, dental, and vision plans to meet all of our employees' needs as well as many benefits and perks that are not listed.
Apply tot his job
Apply To this Job
As a Fraud Analyst, you will play a critical role in protecting the business from fraud losses while enabling sustainable growth. You will leverage data, analytics, and cross-functional collaboration to design fraud prevention strategies, build solutions, and deliver actionable insights that drive impact.
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.
Requirements
• Bachelor’s degree in a quantitative discipline (or equivalent work experience).
• 3–5 years of experience in fraud, risk, payments, analytics, or statistical roles.
• Prior exposure to statistics and machine learning modeling techniques through coursework or professional experience.
• 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.
• Strong quantitative, analytical, and problem-solving skills with sharp attention to detail.
• High level of inquisitiveness, initiative, and critical thinking.
• Proven ability to translate analysis into implementable strategies and rules.
• Strong project management skills, including cost-benefit assessment, prioritization, documentation, and follow-through.
• Excellent communication skills, able to convey findings clearly to technical and non-technical stakeholders.
Nice-to-haves
• Experience in a digital marketplace or platform environment with high transaction volumes.
• Familiarity with advanced fraud detection systems, real-time monitoring frameworks, or machine learning approaches.
• Strong track record of effectively presenting insights to senior management and executive stakeholders.
Benefits
• We offer a competitive salary package including equity and 401K.
• Additionally, we provide multiple medical, dental, and vision plans to meet all of our employees' needs as well as many benefits and perks that are not listed.
Apply tot his job
Apply To this Job