At a Glance
- Tasks: Uncover insights from data to drive product and operational improvements.
- Company: Join ARQ, a fintech startup reshaping the financial system.
- Benefits: Hybrid work, competitive salary, and opportunities for professional growth.
- Other info: Dynamic environment with mentorship and real-world problem-solving opportunities.
- Why this job: Be part of a team redefining finance with cutting-edge technology.
- Qualifications: 1-3 years in analytics, strong SQL skills, and a curious mindset.
The predicted salary is between 35000 - 45000 £ per year.
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.
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.
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.
Data Analyst - London employer: Arqfinance
At ARQ, we are not just redefining finance; we are creating a vibrant work culture that thrives on innovation and collaboration. As a Data Analyst in London, you will be part of a dynamic team that values your insights and encourages continuous learning, all while working with cutting-edge technology in a hybrid environment. With ample opportunities for professional growth and mentorship from industry leaders, ARQ is the perfect place for those eager to make a meaningful impact in the fintech space.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst - London
✨Tip Number 1
Network like a pro! Reach out to people in the fintech space, especially those at ARQ or similar companies. Use LinkedIn to connect and don’t be shy about asking for informational chats. You never know who might put in a good word for you!
✨Tip Number 2
Prepare for your interviews by diving deep into ARQ’s mission and values. Understand their products and think about how your skills can contribute to their vision of reshaping finance. Show them you’re not just another candidate, but someone who genuinely cares about their goals.
✨Tip Number 3
Practice your storytelling skills! As a Data Analyst, you’ll need to translate complex data into clear insights. Prepare examples from your past experiences where you’ve done this successfully, and be ready to share them during interviews.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the team and ready to take that next step in your career.
We think you need these skills to ace Data Analyst - London
Some tips for your application 🫡
Show Your Curiosity:When you're writing your application, let us see your curiosity shine through! Talk about how you've explored data in the past and what insights you uncovered. We love candidates who are eager to dig deep and find those hidden gems in data.
Be Clear and Concise:We appreciate straightforward communication, so make sure your application is easy to read. Use bullet points or short paragraphs to highlight your skills and experiences. Remember, we want to see how you can translate complex data into clear recommendations!
Tailor Your Application:Don’t just send a generic application! Tailor it to fit the Data Analyst role at ARQ. Mention specific tools and techniques you’ve used that align with our needs, like SQL or Python. Show us why you’re the perfect fit for our team!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining our mission to redefine finance!
How to prepare for a job interview at Arqfinance
✨Know Your Data Tools
Make sure you’re familiar with SQL and Python, as these are crucial for the Data Analyst role. Brush up on your querying skills and be ready to discuss how you've used these tools in past projects or internships.
✨Show Your Analytical Curiosity
Prepare examples that showcase your ability to uncover insights from data. Think about times when you identified patterns or anomalies and how you communicated those findings to your team. This will demonstrate your analytical mindset.
✨Understand the Fintech Landscape
Research the company and its position in the fintech industry. Be ready to discuss current trends and how they might impact ARQ. Showing that you’re informed about the sector will highlight your genuine interest in the role.
✨Practice Clear Communication
Since you'll need to translate complex data into actionable insights, practice explaining your analyses in simple terms. Use visuals if possible, as this will help convey your points effectively during the interview.
