Fraud Data Analyst

About Augment Code Augment Code 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, Augment Code is redefining how modern software is built. About 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 have the unique opportunity to collaborate with our AI researchers, software engineers, support team, and leadership to translate complex data into compelling narratives that guide policies and 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 accurately measure false positives, trends in patterns of fraud, user behavior changes etc. Conduct in-depth analysis of user journeys, identifying friction points and opportunities to strike the balance between user friction to prevent fraud vs. maintaining a healthy growth rate Analyze A/B tests to measure the impact of product/policy changes and guide fraud detection methodologies Monitor social forums like telegram, signal etc. to proactively discover emerging fraud patterns on SaaS platforms Develop a detailed funnel analysis to understand the optimal checks and balances to add at each step of the user journey Technical Implementation Build and optimize data models using dbt and BigQuery to ensure efficient and reliable data processing Design interactive Hex dashboards that visualize both product and marketing performance Ensure proper event tracking and data collection across the user journey Maintain data quality standards and governance practices including validating curated data, benchmarking 3p signals, following GDPR requirements etc. Cross-functional Impact Partner closely 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 roles 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 Perks Benefits We invest in creating an environment where you can do your best work and enjoy showing up. Comprehensive medical, dental, and vision coverage Unlimited paid time off Mental health and family-forming support Commuter benefits, including pre-tax options and a monthly stipend Daily lunch, stocked kitchens, and regular in-office events Thoughtful office setups, plus workspace and tools stipends Onsite gym access and a pet-friendly HQ A collaborative, in-person culture built around connection and momentum We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your ... (truncated, view full listing at source)