Product Analyst Intern

About Bureau
Bureau is a unified risk decisioning platform for Compliance, Fraud, and Transaction risks. Our platform is a single decision-making engine, powered by a 1 billion+ identity knowledge graph. Over 150 Banks, fintechs, retailers, and digital platforms use Bureau to verify identities faster and stop fraud earlier globally.
Bureau has raised $50M+ from renowned Silicon Valley and global investors including Sorenson Capital and PayPal Ventures and is expanding rapidly from APAC to Americas, Europe, and beyond.
Why Bureau?
Bureau is building the infrastructure that makes digital identities and transactions safe and trustworthy for billions of people. The mission is big, the problems are complex, and the impact is real.
We hire people who want that level of responsibility. People who move fast, build systems from scratch, and care deeply about turning strategy into execution. If you want predictability or narrow scope, this won't be your place. If you want to shape how a scaling global company operates—keep reading.
What You’ll Be Doing
Foundation & Data Quality: You will own the data sourcing engine for our OCR models. This includes sourcing new document types, ensuring decent volume for each type, and tagging data to create high-quality training sets.
Performance Benchmarking: Systematically evaluate our 120+ API services against internal standards and external competitors. You will identify latency issues, success rate drops, and coverage gaps to ensure we stay best-in-class.
Data-Driven Strategy: Analyze transaction data to uncover opportunities for product optimization. You will answer questions like: "Why did this verification fail?" and "How can we improve conversion rates for this specific segment?"
Impact Reporting: Translate raw data into actionable insights. You will utilize SQL and data visualization to recommend specific upgrades to our tech stack to the Engineering and Product teams.
What You’ll Bring
Education: Final year student or recent graduate in Engineering, Economics, Statistics, or a business-related field with a heavy analytical focus.
Skills:
Data Fluency: You are comfortable with SQL and handling large datasets. You can query data and find the story inside the numbers.
Technical Aptitude: You don't need to be a software engineer, but you must be comfortable understanding how APIs work and how data flows through a system.
Mindset: You are a go-getter. You don't wait for permission to fix a data error; you identify it, report it, and propose a solution.
Our Culture
We hire self-motivated people and get out of their way
We value performance, not hours worked
Speed, ownership, and impact matter most
Compensation
Competitive salary + potential equity
Health benefits, flexible PTO, learning budget

Work arrangement
No