Arqfinance
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.
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.
Arqfinance
Location London Employment Type Full time Location Type Hybrid What we're looking for As a Backend Engineer, you'll design, develop, and maintain scalable, secure, and high-performing backend systems that power our innovative products. You'll collaborate with a talented team to create solutions that drive financial inclusion and transform the way people manage their money. What you'll be doing Work on greenfield development and improvement of existing systems Build REST APIs, engineering microservices, and evolve systems that the business depends on (card payments, treasury management, transaction booking, crypto liquidity) Use Java 25 on the backend with Postgres database and Spring Boot; focus on clean code, maintainability and fast turnaround with TDD, DDD, and continuous integration & delivery What you'll need Demonstrable experience in backend development, with fluency in Java Bachelor's Degree (or above) in Computer Science, Mathematics, Physics, or other Engineering / Science disciplines Quick learner with an ambitious and results driven personality; excellent communication skills, English fluency, verbal and written Track record of building complex products used by millions in hypergrowth startups Benefits Sign on and discretionary stock options bonus Paid annual leave Ownership of your development process and direct impact on customers Access to latest technology and a strong, supportive team
Location London Employment Type Full time Location Type Hybrid What we're looking for As a Backend Engineer, you'll design, develop, and maintain scalable, secure, and high-performing backend systems that power our innovative products. You'll collaborate with a talented team to create solutions that drive financial inclusion and transform the way people manage their money. What you'll be doing Work on greenfield development and improvement of existing systems Build REST APIs, engineering microservices, and evolve systems that the business depends on (card payments, treasury management, transaction booking, crypto liquidity) Use Java 25 on the backend with Postgres database and Spring Boot; focus on clean code, maintainability and fast turnaround with TDD, DDD, and continuous integration & delivery What you'll need Demonstrable experience in backend development, with fluency in Java Bachelor's Degree (or above) in Computer Science, Mathematics, Physics, or other Engineering / Science disciplines Quick learner with an ambitious and results driven personality; excellent communication skills, English fluency, verbal and written Track record of building complex products used by millions in hypergrowth startups Benefits Sign on and discretionary stock options bonus Paid annual leave Ownership of your development process and direct impact on customers Access to latest technology and a strong, supportive team