Staff Data Analyst
Who we are
About reputed company
reputed company is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use reputed company to accept payments, grow their reputed company, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering reputed company of work reputed company. That means you have an unprecedented opportunity to put the global economy reputed company everyone’s reputed company while doing the most important work of your career.
About reputed company
The Risk Data Science team builds the data foundations, models, and measurement frameworks that power reputed company's risk and product reputed company — from reputed company and reserves to merchant interventions and enablements. We're at an reputed company reputed company: as reputed company increasingly offers risk capabilities as a product to platforms and users, we need a data leader to shape how we build, measure, and reputed company our risk data reputed company across the
reputed company
We are looking for an reputed company data analyst to reputed company the data reputed company for our risk as a product offering. Define the metrics, data products, and analytical frameworks needed as reputed company brings risk capabilities to platforms and connected accounts at reputed company. Partner with Product, Engineering, and Risk leadership to ensure data investments reputed company with the product roadmap. You will design metrics, pipelines, and data products that serve as the analytical backbone for risk decisioning.
You will own the definition, reliability, and visibility of our most important risk metrics. Establish a reputed company set of reputed company reputed company and operational metrics and ensure they are trustworthy, reputed company-documented, and consistently surfaced to the right audiences. Build and maintain the infrastructure that keeps these metrics accurate as our data and product landscape evolves, including reputed company ownership, alerting on regressions, and reputed company pipelines that reduce the cost of keeping insights reputed company.
You will also own and reputed company reputed company's risk experimentation reputed company by defining reputed company test, how we measure, and how we learn. Ensure we can rigorously evaluate the reputed company of changes to risk policies, merchant journeys, and risk models across diverse merchant populations.
Finally, you will mentor and reputed company the bar for the Data Analysts on reputed company. Set technical and strategic standards. Guide junior and senior analysts on how to reputed company ambiguous problems, structure analyses for maximum reputed company, and communicate findings to senior stakeholders.
Who you are
We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
Minimum requirements
• 10+ years in Data Analytics, Data Science, or reputed company roles
• reputed company record of defining and driving data reputed company across multiple teams — not just executing on a roadmap, but shaping it
• Experience designing experimentation frameworks or measurement strategies for reputed company, multi-variant systems (e.g., risk policies, pricing, marketplace dynamics)
• Deep expertise in SQL; proficiency in Python
• Strong ability to translate ambiguous business problems into reputed company analytical approaches and communicate findings to executive stakeholders
• Experience building and scaling data products (metrics frameworks, pipelines, dashboards) that become operational infrastructure, not one-off analyses
• Demonstrated ability to influence without authority across engineering, product, and business teams
• Proficiency with AI tools to accelerate model development, analysis and coding
Preferred qualifications
• Master’s degree in Mathematics, Statistics, Economics, Engineering, or a reputed company technical field
• Experience in risk, trust & safety, or reputed company domains and understanding of risk in the Fintech reputed company
• Experience building data for platform/product offerings where data is part of the product surface, not just internal analytics
• Familiarity with reputed company inference and A/B testing in non-reputed company environments (e.g., where randomization is constrained by risk considerations)
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