Backed by Index, Kleiner Perkins and NEA.
About the role
Work at the intersection of product analytics, machine learning, and fraud and risk to uncover insights that improve product performance. Own the metrics, dashboards, and experiments that inform product strategy and decision-making.
What they're looking for
- 3–5 years of relevant experience, including at least 2–3 years working extensively with product analytics, experimentation, or data-driven products
- Strong proficiency in SQL and Python, with experience analyzing complex datasets and translating insights into action
- Hands-on experience with product analytics, experimentation, and/or backtesting methodologies
- Experience building and maintaining dashboards, reporting frameworks, and core product metrics
- Strong communication and stakeholder management skills, with the ability to translate complex analyses into clear, actionable insights for technical and non-technical audiences
More about this role
We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam.
We are the Data team within Plaid’s Fraud organization. We build the machine learning systems that power Plaid’s fraud detection products, leveraging Plaid’s network data to help identify and prevent fraud before it happens. Our team owns the end-to-end ML lifecycle, from feature pipelines and model training to production serving and monitoring, ensuring our systems are reliable, scalable, and...
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