FP&A Analyst
What finance roles in crypto pay
34 salaries · our own dataMost finance roles in crypto pay between $92k and $237k, with a median of $174k.
Hypernative is the proactive onchain security platform for enterprises and institutions. As the first FP&A Analyst, you will own budgeting, forecasting, and end-to-end performance analysis, working closely with the Director of Finance, the external CFO, and department heads across the company.
What you'll do
- Lead the annual budget process from scratch, working with department heads to build and challenge their plans
- Own the monthly budget vs. actual analysis: explain variances, flag overruns, and identify where the company can save
- Build and maintain financial models and rolling forecasts covering headcount, operating expenses, cash flow, and runway
- Run scenario and sensitivity analyses to support planning and strategic decisions
- Work with the external accounting team to ensure management reports reflect accurate numbers
- Improve and automate planning and reporting processes using AI tools
What you bring
- A Bachelor's degree in Finance, Accounting, Economics, or a related field
- 3-5 years of experience in FP&A or financial analysis, ideally in a tech or SaaS company
- Hands-on experience running an annual budget and budget vs. actual analysis across multiple departments
- Advanced Excel skills and the ability to build complex financial models independently
- A solid understanding of financial statements and key KPIs such as burn, runway, and gross margin
- Regular use of AI tools as part of your everyday work for analysis, modeling, or automation
- Comfort working with department heads and senior management, explaining numbers clearly in plain terms
- Independence, strong organizational skills, and a high sense of ownership
- Fluency in English
About Hypernative
Hypernative is a proactive onchain security platform founded in 2023, backed by a $40M Series B. The company has secured $100B+ in digital assets across 350+ leading organizations and has prevented over $3 billion in losses through industry-leading machine learning models and real-time infrastructure across 75+ blockchains.
Context for this role
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