About MoonPay
MoonPay is for builders with something to prove.
This isn't a "work on cool crypto stuff" company. It's a high-standards, high-velocity, high-accountability company building the operating system for value movement. If the internet moves information, we move value: crypto, stablecoins, tokenized assets, and whatever comes next. Four offerings make that real: fund, tokenize, trade, and spend. 30M+ customers and 500+ ecosystem partners run on us. Licensed in the U.S. Regulated across the UK, EU, Canada, and Australia.
AI is the default operating mode here. It's woven into every role, and we expect you to use it daily. It handles the manual work so you can deliver on what actually matters.
You'll thrive here if outcomes excite you more than process, if impact motivates you more than titles, and if you want hard problems, real ownership, and teammates who love winning, building, and doing it together.
The bar is high. The pace is real. We're building for what's next, for humans and agents.
Recent recognition:
Forbes' America's Best Startup Employers 2026 . 2nd in Crypto Services on Fortune's inaugural Crypto 100,
The Sunday Times Best Places to Work two years running.
Research has shown that women are less likely than men to apply for this role if they do not have experience in 100% of these areas. Please know that this list is indicative, and that we would still love to hear from you even if you feel that you are only a 75% match. Skills can be learned, diversity cannot.
______________________________________________________________________________________________________
About the Opportunity This is an opportunity for an ambitious Data Analytics Engineer to have a huge impact across the organization, while working in a complex and rapidly changing crypto environment. We are looking for someone with experience or an interest in end-to-end "full-stack" data work, including: data strategy, analytics/data engineering, and (advanced) data analytics. The main focus of this position will be to play a crucial role in supporting our Accounting and FP&A functions.
What You Will Do Build robust data models and infrastructure downstream of backend services and external data sources, which support reconciliation, internal reporting, and ad-hoc analysis.
Develop "The Ledger", which tracks all our crypto and fiat movements from wallet and exchange data sources.
Design, build, and scale a MoonPay-wide approach to reconciliation for cash, crypto, and payments data using both internal and external data sources.
Conduct specific analysis and build data solutions for new product flow of funds, crypto inventory balances, or cost basis reporting.
Collaborate with the finance team and the crypto engineering team to conduct investigations into issues, such as crypto delivery timing, or payments reconciliation.
Work closely with accounting and finance to understand their needs, and build custom tables and reporting to support their efforts.
About You Must-have experience and skills
Advanced SQL and data modelling are second nature to you
You have a vision and enthusiasm for architecting and building robust data models to contribute to our current ecosystem of data products.
You have the versatility and willingness to learn new technologies on the job and adapt quickly to changing priorities within a very dynamic environment
Nice-to-have experience
You have experience and/or a strong interest in working directly with a finance team, interest in Accounting, Financial Audits, or Financial Reporting is a plus.
You are experienced in communicating with cross-functional stakeholders including engineers, finance directors, VPs & C-level executives
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.