Augment Code
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 .
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