Summary

In this role, you will play a key part in shaping MoonPay’s product strategy data, specifically in the customer onboarding journey, combining deep analysis, experimentation, and strong stakeholder partnerships to drive meaningful business impact.

You will sit within the Data Science team and work closely with Product & Engineering, taking ownership of analytics across the full product lifecycle, from defining problems and success metrics, through to launching, measuring, and optimising products at scale.

Your work will directly influence product strategy, customer experience, and key business outcomes, enabling teams to make better, faster decisions through trusted insights, clear narratives, and scalable data products.

This is a great opportunity for someone who wants to operate at the intersection of data, product, and strategy, someone who enjoys turning complex data into clear direction, influencing decisions, and helping shape the future of high-impact financial and crypto products.

Locations Supported 🌍

UK

Spain

Portugal

Relocation available: Case by case

Work pattern: remote (although hybrid if near a Moonbase is encouraged)

What You Will Do

1. Provide insights and recommendations based on a deep understanding of MoonPay flows and be able to identify and drive new opportunities for product improvements & enhanced customer safety
2. Work closely with the product teams and business stakeholders to review product performance and deliver data driven strategies for increased product performance.
3. Define KPIs, design tracking and set up monitoring for new product launches & changes.
4. Oversee and implement A/B tests and other experiments to drive forward optimization efforts
5. Design, build and scale both internal and external data products, which drive informed decision making, examples include: dashboards, reports, data models, algorithms, integrations into other product lines.
6. Communicate complex concepts and findings to technical and non-technical audiences across different teams, while ensuring clarity and understanding to drive critical business decisions.

About You

1. Must-have experience and skills:
2. 4+ years of hands-on experience as a data scientist or data analyst, preferably in a product-focused role.
3. Advanced SQL, data modelling, and data visualisation tools are second nature to you.
4. An understanding of the fundamentals of statistics and probability, including experience in conducting large-scale A/B tests.
5. You have experience working cross functionally with product and operation teams
6. Experience working within the fintech and/or crypto space is preferred
7. You have the versatility and willingness to learn new technologies on the job and adapt quickly to changing priorities within a very dynamic environment.
8. Exceptional communication skills and can clearly summarise complex data findings and decisions to various levels of audiences.

1. Nice-to-have experience:
2. Experience with dbt, BigQuery, Looker, Python
3. Experience working in start-ups or scale-ups
4. Experience working within the KYC / Onboarding space

Bonus Points

1. You have working knowledge of Machine Learning principles and experience partnering or driving ML initiatives

BLOCK Values

We’re looking for people who live our core values, those who strive for excellence and want to leave a lasting legacy on the global financial system. Our values:

B - Be Hungry

L - Level Up

O - Own It

C - Crypto Curious

K - Kaizen

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 learnt, diversity cannot.

Skills

• Communications Skills
• Development
• Python
• Software Engineering
• Team Collaboration