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Senior Financial Analyst

ID.me
CompanyID.me
CategoryFinance
LocationMountain View
RemoteOn-site (inferred)
EmploymentNot stated
LevelSenior
SalaryNot stated by the employer
Posted14 Jul 2026
Last verified2 Aug 2026
SourceEmployer ATS (greenhouse)
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Description
Company Overview ID.me is the next-generation digital identity wallet that simplifies how individuals securely prove their identity online. Consumers can verify their identity with ID.me once and seamlessly login across websites without having to create a new login and verify their identity again. Over 152 million users experience streamlined login and identity verification with ID.me at 20 federal agencies, 45 state government agencies, and 70+ healthcare organizations. More than 600+ consumer brands use ID.me to verify communities and user segments to honor service and build more authentic relationships. ID.me’s technology meets the federal standards for consumer authentication set by the Commerce Department and is approved as a NIST 800-63-3 IAL2 / AAL2 credential service provider by the Kantara Initiative. ID.me is committed to “No Identity Left Behind” to enable all people to have a secure digital identity. To learn more, visit https://network.id.me/ . ID.me is a full-time, in-office culture. Unless a specific job description explicitly states otherwise, all roles are on-site five days per week at one of our offices in McLean, VA; Mountain View, CA; New York City, NY; or Tampa, FL. Certain roles — such as field-based sales or other remote-by-design positions — may have different work arrangements as noted in their individual postings. At ID.me, we embrace the thoughtful use of AI tools in our daily work and there are even occasions where we leverage AI in our hiring process. However, during the interview process, we want to understand your individual skills and experiences. Therefore, we have guidelines on how AI can be appropriately used during your application and interviews which can be found here . Role Overview ID.me is looking for a Senior Financial Analyst to join a high-impact Finance team operating at the center of the business. This role spans financial planning and forecasting, business partnering across GTM and R&D, and executive and investor reporting, with direct exposure to the CFO and senior leaders across the company and real influence on how the Finance team operates. The ideal candidate brings strong analytical instincts, sharp attention to detail, and a bias toward action. They're comfortable working through ambiguity, managing multiple workstreams, and translating complex data into clear insights for senior stakeholders. Equally important, they're curious about how AI and modern tooling can make financial work faster and better, and they'll actively look for opportunities to put that into practice. Key Responsibilities Financial Planning & Forecasting Own and maintain the consolidated financial model across the P&L, balance sheet, and cash flow to support planning and executive decision-making.  Maintain and continuously improve forecasting models across key business areas (revenue, COGS, or OpEx), including assumption documentation, driver updates, and scenario builds. Support the annual operating plan (AOP) process, coordinating inputs across business units, aligning on key assumptions, and consolidating outputs for Finance leadership review. Support the monthly and quarterly forecasting cycle by preparing model outputs, variance commentary, and period-over-period bridges for Finance leadership review. Translate operational inputs (headcount changes, usage trends, pipeline movement, product timelines) into model updates and surface implications to the team. Support the buildout of new planning processes. Specific focus areas will include the implementation of a financial planning tool, leveraging AI to enhance existing processes, and data validation, as the Finance function scales.   Business Partnering Partner with Sales and Revenue Operations to pull, clean, and analyze pipeline and bookings data as inputs to the revenue forecast; build and maintain deal sizing models and segment-level analyses that support fore