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Plaid launches Trust Index 3 for enhanced fraud detection
Plaid launched Ti3, the latest model powering Plaid Protect. It uses a larger fraud graph and deeper real-time analysis; early tests found up to 41% more fraud detected at the same false-positive rate.
Plaid reports over $500 million in ARR and full-year profitability
Plaid said it ended Q4 2025 with well over $500 million in annual recurring revenue, up about 40% year over year, and was profitable for the full year. New products generated 21% of revenue.
Employee share sale values Plaid at $8 billion
Plaid allowed employees to sell shares at an $8 billion valuation, 31% above the $6.1 billion valuation attached to its April 2025 financing.
Plaid raises $575 million at a $6.1 billion valuation
Plaid sold about $575 million of common stock in an oversubscribed financing led by Franklin Templeton, with Fidelity, BlackRock, NEA and Ribbit Capital participating.
AI Generated Insights
Own the end‑to‑end ML lifecycle for fraud detection, including feature pipelines, model training, production serving, and monitoring. Build and maintain dashboards, metrics, and experiments that guide product strategy.
3–5 years of experience, with 2–3 years in product analytics, experimentation or data‑driven products. Strong SQL and Python skills, plus ability to communicate insights to technical and non‑technical stakeholders.
The role powers Plaid’s fraud detection products, helping prevent fraud before it happens and supporting thousands of customers and partners. Reliable, scalable ML systems are critical to Plaid’s mission of unlocking financial freedom.
Candidates who enjoy working at the intersection of product analytics, machine learning, and fraud risk, and who can translate complex data into actionable insights. Ideal for data scientists with strong communication skills and a track record of building dashboards and experiments.
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 built to support hundreds of customers and data partners.
As a Data Scientist on the Fraud Data team, you will analyze customer and network traffic to understand how Plaid Protect performs across a range of use cases and customer segments. You’ll build dashboards and metrics that provide a clear, shared view of product performance, run backtests to evaluate performance and identify high-impact rules and model strategies, and generate insights that support customer growth and expansion. You’ll also design scalable data models and schemas to enable reliable analysis and reporting, while partnering closely with Product and Engineering to design and analyze experiments for new customer-facing features.
Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid!
Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at accommodations@plaid.com.
Please review our Candidate Privacy Notice here.
Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.
