About The Position

Toast is driven by building the all-in-one restaurant platform that helps restaurants operate their business, increase sales, engage guests, and keep employees happy. We are seeking a Principal Analyst to join our Fraud Strategy & Analytics team to own the analytical strategy for assessing and mitigating fraud risk, including onboarding and early-lifecycle exposure. This role will report to the Senior Manager of Risk Analytics. This senior individual contributor role will be central to driving actionable insights & defining the risk strategy across Toast’s Fintech ecosystem.

Requirements

  • 6–8 years of experience in data analytics, payments risk & fraud; fintech experience is a plus.
  • Very strong SQL & Python skills and proficiency with analytical tools.
  • Proven ability to analyze large, complex datasets to extract actionable insights.
  • Demonstrated experience owning ambiguous problem spaces and translating them into clear analytical frameworks and measurable outcomes.
  • Exceptional communication skills, with a track record of influencing cross-functional stakeholders and executive leaders.
  • Ability to thrive in a dynamic, fast-paced environment with competing priorities.
  • Strategic thinker with high intellectual curiosity and a passion for driving impact.

Responsibilities

  • Lead the definition and evolution of risk frameworks across the customer lifecycle, with a focus on early-stage and onboarding risk.
  • Design, develop, and own core fraud and risk metrics that inform decision-making, performance measurement, and strategy.
  • Partner with internal stakeholders (Product, Engineering, Risk Operations) to translate analytical insights into scalable solutions.
  • Evaluate, integrate, and manage external data sources to enhance risk detection and decisioning capabilities.
  • Define data requirements and partner with engineering to build and maintain reliable, production-grade data pipelines.
  • Act as a thought leader in fraud analytics, setting best practices for measurement & risk modelling.

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Education Level

No Education Listed

Number of Employees

5,001-10,000 employees

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