Braze is seeking an Analyst, Fraud Intelligence to join our team. In this high-ownership role, you will build analytics engines based on signals from hundreds of millions of users to detect fraud, protect retailers, and unlock business value.
What You'll Do
- Analyze large-scale behavioral, transactional, and interaction data to uncover signals indicative of fraud and abuse.
- Apply strong business acumen to rapidly identify actionable insights, analyze fraud patterns, and validate hypotheses.
- Influence business cases and pricing strategies, and contribute to proof-of-concept initiatives with prospective merchants.
- Respond swiftly to emerging fraud threats by developing monitoring frameworks, dashboards, and mitigation solutions in collaboration with cross-functional teams.
- Partner closely with leadership, go-to-market, fraud operations, product, and engineering teams to define and execute effective fraud strategies.
- Champion a culture of continuous learning, experimentation, and collaboration across the fraud and broader data science teams.
What We're Looking For
- 2+ years of experience in fraud analytics, ideally within an e-commerce or retail environment.
- Bachelor’s degree or higher in a quantitative field such as Mathematics, Statistics, Computer Science, Engineering, Operations Research, Physics or related field.
- Strong grasp of core data science and analytics concepts, including statistical analysis, modeling, and data wrangling.
- Proficiency in SQL and experience in Python (pandas, NumPy, scikit-learn, etc.).
- Exceptional communication and stakeholder management skills, with a proven ability to work cross-functionally and influence outcomes.
- High attention to detail, strong intellectual curiosity, and a deep understanding of user behavior and fraud patterns.
- Candidates must be located within the continental United States.
Nice to Have
- Prior experience in a startup or high-growth environment is preferred.
Technical Stack
- SQL
- Python
- pandas
- NumPy
- scikit-learn
Team & Environment
You will work cross-functionally with leadership, go-to-market, fraud operations, product, and engineering teams. We work in a collaborative and supportive environment with an empathetic, humble, and collaborative team.
Benefits & Compensation
- Competitive salary based on experience, with full medical and dental & vision benefits.
- Stock in an early-stage startup growing quickly.
- Generous, flexible paid time off policy.
- 401(k) with Financial Guidance from Morgan Stanley.
- Compensation range: $110,000 - $135,000 per year salaried.
Work Mode
This is a remote position open to candidates located within the continental United States.
