We are building the financial system for the next century. One where control sits in the hands of customers — not banks. Where money moves on rails that are faster, smarter, and radically more efficient. Where wealth management tools help you grow your savings for decades — and build generational wealth. Where fewer intermediaries mean more value stays where it belongs: in our customers’ pockets.
We operate with long-term ambition and absolute conviction. We are not here to iterate on the past — we are here to redesign it. This is a defining moment to join us.
We are building what we believe will become one of the most important financial institutions in the world. That requires exceptional talent, relentless standards, and people who care deeply about the work. At ARQ, we are turning the financial system upside down — starting in the Americas. We are nimble, but ambitious. We move fast, learn fast, and innovate relentlessly. Technology is our greatest ally, and execution is our edge. We build as a team. We think long term. We aim for world‑class in everything we do. If you are exceptional at what you do — and ready to help redefine finance — we’d love to meet you.Are you ready to build what comes next?
About the team
We believe that small teams with the best talent outcompete massive companies with mediocre capabilities. That’s why we have gathered a set of people who have done it before at iconic companies like Revolut, Uber, Amazon, Block and UBS: we owned some of the most loved and profitable products, delivered top‑notch transaction processing platforms, created beautiful mobile applications – and helped them become profitable companies that changed the lives of millions of people.
In our quest to reshape the global financial system we have raised tens of millions of dollars from leading investors like Sequoia Capital, Founders Fund, Brevan Howard Digital, Y Combinator and Kaszek Ventures.
Data Analyst – London
Location
London
Employment Type
Full time
Location Type
Hybrid
Department
What we’re looking for
Are you curious about how things work and motivated by uncovering insights hidden in data? As a Data Analyst at ARQ, you’ll help us understand our business, customers, and operations through rigorous analysis and thoughtful storytelling. You’ll explore data, detect patterns, and build the foundations for decisions that shape the future of our products and company.
This is a role for someone early in their analytics career who wants to grow – learning how data drives product, financial, and strategic decisions in a fast‑paced fintech environment.
What you’ll be doing
Explore and Analyze Data: Investigate user behavior, performance trends, and key metrics to uncover what’s driving changes.
Identify Anomalies and Opportunities: Spot unusual patterns or spikes and help the team understand their root causes.
Reporting & Automation: Build and maintain dashboards and automated reports that make data accessible and reliable.
Decision Support: Translate analytical findings into clear recommendations for product and operational improvements.
Metric Design: Help define and refine the KPIs that matter most for our business and customer experience.
Documentation: Keep analyses, methodologies, and assumptions well‑documented and reproducible.
Modeling & Experimentation: Contribute to basic modeling tasks and structured experiments under guidance from senior analysts or data scientists.
Continuous Learning: Expand your analytical toolkit and develop product sense through real‑world problem solving and mentorship.
What you’ll need
1–3 years of experience in analytics, data, or operations (internships count)
Strong SQL skills for querying and exploring datasets
Comfortable reading code and writing basic Python scripts for data manipulation, automation, and analysis
Experience contributing to a shared analytics codebase or modern data stack (e.g., Snowflake/BigQuery + dbt + Git workflow)
Analytical curiosity and a structured approach to problem solving
Good communication skills – able to explain insights clearly and visually
Initiative to automate repetitive tasks and improve reporting workflows
Interest in fintech, data‑driven decision‑making, and machine learning concepts
Ambitious, high‑potential mindset with evidence of strong achievement, fast progression, or outstanding academic/professional performance
Nice to have
STEM degree preferred (e.g., Mathematics, Computer Science, Engineering, Physics, Economics, or related fields)
Experience with BI or visualization tools (Metabase, Looker, etc.)
Familiarity with dbt for building and maintaining data models, writing tests, and managing transformations
Exposure to fraud, financial, or product analytics (any domain welcome)
Spanish/Portuguese proficiency for internal and external communications.
Own the development process that will face on the customer’s impact
Latest technology to work with
Strong team that will help you improve your skills.
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