Job Description

Overview Join to apply for the Fraud Data Analyst role at Augment Code . AugmentCode is the only AI coding assistant built for professional software engineers working in large, production‑grade codebases. Our Context Engine understands your entire repo, enabling developers to stay in flow while writing, reviewing, and understanding code. Backed by top‑tier investors and trusted by engineering teams at leading tech companies, AugmentCode is redefining how modern software is built. The Role We're looking for a Fraud Data Analyst to join our Fraud team. In this role, you'll transform our data into strategic insights that drive fraud and abuse prevention policies. With an analytical mindset, you'll build powerful dashboards and metrics frameworks to investigate the constantly evolving fraud patterns. You'll own our metrics architecture, produce in-depth analyses, and find innovative ways to communicate insights to stakeholders across the organization. You'll collaborate with AI researchers, software engineers, support teams, and leadership to translate complex data into narratives that guide policies and the onboarding experience for users. Key Responsibilities Fraud Analytics Develop comprehensive analytics strategies to extract meaningful insights from user data Define, implement, and maintain key product metrics that measure false positives, fraud patterns, and user behavior changes Analyze user journeys to identify friction points and balance user friction with healthy growth Analyze A/B tests to measure impact of product/policy changes and guide fraud detection methodologies Monitor social forums to proactively discover emerging fraud patterns on SaaS platforms Develop detailed funnel analyses to understand optimal checks at each step of the user journey Technical Implementation Build and optimize data models using dbt and BigQuery for efficient data processing Design interactive Hex dashboards that visualize product and marketing performance Ensure proper event tracking and data collection across the user journey Maintain data quality and governance, including validating curated data and GDPR considerations Cross-functional Impact Partner with fraud and support teams to communicate data trends Democratize data access through self-service analytics tools and documentation Qualifications 2-4 years of experience in fraud/risk analytics or data science Strong proficiency in SQL for complex data analysis Experience with data visualization tools (preferably Hex) Understanding of both fraud and growth metrics related to SaaS platforms Ability to translate business questions into analytical frameworks Experience with dbt and BigQuery preferred Familiarity with the developer tools space a plus The Intangibles We Value Low ego and a huge dose of GSD (Get Stuff Done) Genuine curiosity about emerging technologies and developer trends Strategic thinking combined with execution excellence Creative problem-solving approach Data-driven mindset for measuring and improving performance Employee Benefits Flexible work hours Competitive salary & equity Tools stipend Health, Dental, Vision and Life Insurance Short Term and Long Term Disability Unlimited Paid Time Off + holidays Numerous company social events Legal and Accessibility Augment Code is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy or related medical conditions), sexual orientation, gender identity, gender expression, age, protected veteran status, disability status, or other legally protected characteristics. If you need assistance or accommodation during the interview process, please contact your recruiter. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Augment Code's Applicant Privacy Policy. Pay Transparency Notice: The actual base salary within the stated range will be based on a combination of factors such as an individual's skills and experience. Annual Base Salary Range: $225,000 USD - $300,000 USD . #J-18808-Ljbffr Augment Code

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