Jobgether
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Analyst (Fintech) based in United Kingdom. This role offers the opportunity to build advanced analytics capabilities within a fast growing financial technology environment. You will transform complex financial data into reliable insights that support business decisions, regulatory reporting, and operational excellence. Working closely with Finance, Accounting, and Data Engineering teams, you will design scalable reporting solutions from the ground up. The position combines financial expertise, data analysis, automation, and business intelligence to improve transparency and efficiency. You will play a critical role in ensuring data accuracy, audit readiness, and the development of data driven strategies. This is an ideal opportunity for an analytical professional who enjoys solving complex fintech challenges and creating impactful data solutions in a remote global team. Accountabilities Build and maintain financial reporting solutions, including complex metrics frameworks, conversion funnels, dashboards, and performance reporting using BI tools such as Looker, Grafana, or similar platforms. Analyze financial data from BigQuery to generate actionable insights, including P&L reporting, portfolio performance analysis, accounting summaries, and executive level reporting. Automate reporting workflows and external data exports to support audit processes, compliance requirements, and regulatory reviews. Partner with Finance and Accounting teams to gather, define, and translate business requirements into scalable financial data models and reporting solutions. Design and implement data quality frameworks with automated validation checks, monitoring, and alerting mechanisms to ensure accuracy and reliability of financial information. Develop financial models and forecasting solutions to support business planning, including LTV, retention, profitability, expected loss, and other key performance indicators. Perform advanced financial analysis, anomaly detection, and experimentation using BigQuery, SQL, Python, and analytical frameworks. Collaborate with Data Engineering teams to improve data warehouse structures, reporting processes, and analytical capabilities. Leverage modern AI and analytics technologies to enhance financial insights, automation, and decision making processes. Requirements 5+ years of experience in data analysis, financial analytics, regulatory reporting, or related roles within fintech, payments, banking, or financial services. Expert level SQL skills with experience extracting, transforming, and analyzing complex datasets in BigQuery or similar data platforms. Strong proficiency in Python, including Pandas and NumPy, for data exploration, modeling, and advanced analysis. Extensive experience with business intelligence tools such as Looker, Grafana, Tableau, Power BI, or similar platforms, including building executive level dashboards. Strong understanding of financial concepts including P&L structures, accounting principles, IFRS standards, and financial risk metrics such as EAD, LGD, and RWA. Experience defining technical requirements and collaborating with Data Engineering teams on data warehouse and reporting solutions. Strong analytical mindset with the ability to investigate complex datasets, identify trends, and communicate insights clearly. Experience working with financial compliance, audit processes, or regulatory reporting requirements is highly valuable. Preferred experience includes crypto payments, custody reconciliation, AML/transaction monitoring analytics, streaming data technologies such as Kafka or Kinesis, and cloud data platforms such as Spark, Snowflake, or BigQuery. Degree in Finance, Accounting, Mathematics, Computer Science, or a related quantitative field is a plus. Benefits Fully remote work opportunity within an international and agile team. Competitive compensation package based on experience, skills, and individual contribution. Opportunity to build and shape analytics processes and reporting infrastructure from the ground up. High impact role supporting mission critical financial reporting, compliance, and business decision making. Career growth opportunities across technical, leadership, and cross functional career paths. Collaborative culture focused on transparency, experimentation, ownership, and measurable impact. Opportunity to work at the intersection of finance, technology, and emerging digital financial solutions.
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Analyst (Fintech) based in United Kingdom. This role offers the opportunity to build advanced analytics capabilities within a fast growing financial technology environment. You will transform complex financial data into reliable insights that support business decisions, regulatory reporting, and operational excellence. Working closely with Finance, Accounting, and Data Engineering teams, you will design scalable reporting solutions from the ground up. The position combines financial expertise, data analysis, automation, and business intelligence to improve transparency and efficiency. You will play a critical role in ensuring data accuracy, audit readiness, and the development of data driven strategies. This is an ideal opportunity for an analytical professional who enjoys solving complex fintech challenges and creating impactful data solutions in a remote global team. Accountabilities Build and maintain financial reporting solutions, including complex metrics frameworks, conversion funnels, dashboards, and performance reporting using BI tools such as Looker, Grafana, or similar platforms. Analyze financial data from BigQuery to generate actionable insights, including P&L reporting, portfolio performance analysis, accounting summaries, and executive level reporting. Automate reporting workflows and external data exports to support audit processes, compliance requirements, and regulatory reviews. Partner with Finance and Accounting teams to gather, define, and translate business requirements into scalable financial data models and reporting solutions. Design and implement data quality frameworks with automated validation checks, monitoring, and alerting mechanisms to ensure accuracy and reliability of financial information. Develop financial models and forecasting solutions to support business planning, including LTV, retention, profitability, expected loss, and other key performance indicators. Perform advanced financial analysis, anomaly detection, and experimentation using BigQuery, SQL, Python, and analytical frameworks. Collaborate with Data Engineering teams to improve data warehouse structures, reporting processes, and analytical capabilities. Leverage modern AI and analytics technologies to enhance financial insights, automation, and decision making processes. Requirements 5+ years of experience in data analysis, financial analytics, regulatory reporting, or related roles within fintech, payments, banking, or financial services. Expert level SQL skills with experience extracting, transforming, and analyzing complex datasets in BigQuery or similar data platforms. Strong proficiency in Python, including Pandas and NumPy, for data exploration, modeling, and advanced analysis. Extensive experience with business intelligence tools such as Looker, Grafana, Tableau, Power BI, or similar platforms, including building executive level dashboards. Strong understanding of financial concepts including P&L structures, accounting principles, IFRS standards, and financial risk metrics such as EAD, LGD, and RWA. Experience defining technical requirements and collaborating with Data Engineering teams on data warehouse and reporting solutions. Strong analytical mindset with the ability to investigate complex datasets, identify trends, and communicate insights clearly. Experience working with financial compliance, audit processes, or regulatory reporting requirements is highly valuable. Preferred experience includes crypto payments, custody reconciliation, AML/transaction monitoring analytics, streaming data technologies such as Kafka or Kinesis, and cloud data platforms such as Spark, Snowflake, or BigQuery. Degree in Finance, Accounting, Mathematics, Computer Science, or a related quantitative field is a plus. Benefits Fully remote work opportunity within an international and agile team. Competitive compensation package based on experience, skills, and individual contribution. Opportunity to build and shape analytics processes and reporting infrastructure from the ground up. High impact role supporting mission critical financial reporting, compliance, and business decision making. Career growth opportunities across technical, leadership, and cross functional career paths. Collaborative culture focused on transparency, experimentation, ownership, and measurable impact. Opportunity to work at the intersection of finance, technology, and emerging digital financial solutions.
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.