Stripe

A digital payment solutions company in the United Kingdom is seeking candidates for a role that involves end-to-end ownership of projects. You will work on cross-functional projects, ensure system performance and scalability, and learn valuable project management skills. Ideal candidates will have a Bachelor's or higher in Computer Science or related field and collaborative coding experience. The role offers an annual salary range of £60,000 to £90,000, with potential benefits including equity and health plans.

About the team Stripe offers an interesting middle ground between joining a small startup and going to work for a multinational company. We have systems and processes optimized for early-career professionals. You will be in an environment that prizes rigor, discipline, and reliability-from our products, from our ways of working, and from our colleagues. You will learn how the best teams put together extremely reliable systems, and you will be responsible for operating these systems, with adequate backup when things get tough. What you'll do As a company, we believe in end-to-end ownership of projects. For any given project, we have one person on point. While they don't necessarily have to do all the work themselves, it's their job to make sure all the work gets done. We launch betas and prototypes as early as we can. This helps ensure that we're building what users actually want. We contribute back to the community, often by building things we think are cool and by releasing open-source software . Responsibilities Work on cross-functional projects, directly collaborating with other engineers Give meaningful feedback on code reviews and technical designs Ensure that the systems your team operates continue running well and can scale to meet the needs of our users Build the skills to own a project from beginning to end, learning project management and technical leadership skills Who you are We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. A Bachelor's, Master's, or PhD degree in computer science or a directly related field, obtained by summer 2026, or equivalent work experience Experience from either previous internships or working collaboratively on multi-person coding projects (in a university or professional setting) Ability to learn unfamiliar systems and form an understanding of those systems, through independent research and working with a mentor and subject matter experts Preferred qualifications One or more areas of specialized knowledge balanced with general skills and knowledge, such as knowing more frontend technologies and, at a high level, how a service handles an HTTP request Experience in code review practices, and an understanding of how to safely update production systems Familiarity with navigating and managing work in large code bases Office-assigned Stripes in most of our locations are currently expected to spend at least 50% of the time in their local office or with users. This expectation may vary depending on role, team and location. For example, Stripes in our Bucharest, Romania site have an 80% in-office expectation, and those in Stripe Delivery Center roles in Mexico City, Mexico and Bengaluru, India work 100% from the office. Also, some teams have greater in-office attendance requirements, to appropriately support our users and workflows, which the hiring manager will discuss. This approach helps strike a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility when possible. The annual salary range for this role in the primary location is £60,000 - £90,000. This range may change if you are hired in another location. For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate's experience, qualifications, and specific location. Applicants interested in this role and who are not located in the primary location may request the annual salary range for their location during the interview process. Specific benefits and details about what compensation is included in the salary range listed above will vary depending on the applicant's location and can be discussed in more detail during the interview process. Benefits/additional compensation for this role may include: equity, company bonus or sales commissions/bonuses; retirement plans; health benefits; and wellness stipends. At Stripe, we're looking for people with passion, grit, and integrity. You're encouraged to apply even if your experience doesn't precisely match the job description. Your skills and passion will stand out-and set you apart-especially if your career has taken some extraordinary twists and turns. At Stripe, we welcome diverse perspectives and people who think rigorously and aren't afraid to challenge assumptions. Join us.

Stripe is a financial infrastructure platform for businesses. Millions of companies-from the world's largest enterprises to the most ambitious startups-use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team Data Science at Stripe is a vibrant community where data analysts, data scientists and engineers learn and grow together. You will work with some of Stripe's most fundamental and exciting data, and use that data to help drive company-wide initiatives. We have a variety of Data Analytics roles and teams across Stripe and will seek to align you to the most relevant team based on your background. What you'll do In this role, you will partner deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make decisions and grow responsibly. You will work closely with partners to extract insights from Stripe's rich and complex data. You will also work with leaders to translate business needs into data problems. You will build metrics, scalable data pipelines, dashboards, and reports to inform and run the business. You will deliver actionable business recommendations through analyses and data storytelling. Who you are We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. 5+ years experience in Business Intelligence Engineering, Data Engineering, Data Analysis or Data Science roles, building data pipelines and analyzing large datasets to solve problems Proficiency in SQL and Python Strong statistical knowledge Expertise in visualization and using data insights to make recommendations and achieve goals Proven ability to manage and deliver on multiple projects with great attention to detail Ability to clearly communicate results and drive impact Comfortable collaborating across functions to identify data analytics problems and execute solutions with technical rigor and data-driven insights. Preferred qualifications Master's degree in Mathematics, Statistics, Economics, Engineering, or a related technical field. Prior experience at a growth stage internet or software company. Experience with distributed data frameworks like Hadoop and Spark to write and debug data pipelines. Good understanding of development processes and best practices like engineering standards, code reviews, and testing. Office assigned Stripes in most of our locations are currently expected to spend at least 50% of the time in a given month in their local office or with users. This expectation may vary depending on role, team and location. For example, Stripes in our Bucharest, Romania site have an 80% in office expectation, and those in Stripe Delivery Center roles in Mexico City, Mexico and Bengaluru, India work 100% from the office. Also, some teams have greater in office attendance requirements, to appropriately support our users and workflows, which the hiring manager will discuss. This approach helps strike a balance between bringing people together for in person collaboration and learning from each other, while supporting flexibility when possible. The annual salary range for this role in the primary location is £82,400 - £123,600. This range may change if you are hired in another location. For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate's experience, qualifications, and specific location. Applicants interested in this role and who are not located in the primary location may request the annual salary range for their location during the interview process. Specific benefits and details about what compensation is included in the salary range listed above will vary depending on the applicant's location and can be discussed in more detail during the interview process. Benefits/additional compensation for this role may include: equity, company bonus or sales commissions/bonuses; retirement plans; health benefits; and wellness stipends. At Stripe, we're looking for people with passion, grit, and integrity. You're encouraged to apply even if your experience doesn't precisely match the job description. Your skills and passion will stand out-and set you apart-especially if your career has taken some extraordinary twists and turns. At Stripe, we welcome diverse perspectives and people who think rigorously and aren't afraid to challenge assumptions. Join us.

A leading financial technology firm in London is seeking an experienced professional in Business Intelligence Engineering to enhance data-driven decision-making across the organization. The ideal candidate will have over 5 years of experience, with skills in SQL and Python, and a strong aptitude for statistical analysis and data visualization. The position offers a competitive annual salary ranging from £82,400 to £123,600, alongside various benefits including equity and health plans. The company fosters a collaborative environment that values diverse perspectives.

Note:if you are an intern, new grad, or staff applicant, please do not apply using this link and visit our jobs page for those specific postings. About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world's largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the Organization The Payments organization focuses on developing products and platforms that enable users to accept payments from customers efficiently. This includes building APIs for processing payments, enabling regional, non-card payment options, and extending Stripe's capabilities to make it easy for businesses to accept in-person payments. The Risk Engineering team develops products that minimize financial and regulatory risks while ensuring a seamless user experience, thereby safeguarding Stripe's brand and financial stability. Team Matching: exact team matching for one of the subteams within this org will begin during final stages. Please note we may also consider you for different orgs based on your experience, location, etc. More information on our team matching process can be found here . What you'll do We're looking for Backend engineers who want to make an impact on managing money at a global scale with a passion for building ergonomic APIs. You'll play a key role in extending our balance management platform and in building out a new funds accessibility platform leveraged by enterprises and SMBs alike. Our team collaborates with many cross-functional teams - from Infrastructure to Product - at Stripe to deliver innovative solutions that address evolving user needs. Responsibilities Scope, design, build, and maintain APIs, services, and large-scale systems that reliably and efficiently handle billions of money movement requests Debug and solve critical production issues across services and multiple levels of the stack Mentor engineers to help them grow Collaborate with stakeholders across the company to build new features at large-scale, while improving internal engineering standards, tooling, and processes Collaborate effectively in a distributed and hybrid team, maintaining open communication and strong connections with colleagues Who you are We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. 2-12+ years of industry software engineering experience (does not include internships nor includes co-ops) Strong coding skills in any programming language (we understand new languages can be learned on the job so our interview process is language agnostic) Strong collaboration skills, can work across workstreams within your team and contribute to your peers' success Have the ability to thrive on a high level of autonomy, responsibility, and think of yourself as entrepreneurial Interest in working as a generalist across varying technologies and stacks to solve problems and delight both internal and external users Preferred Qualifications Experience with large-scale financial tracking systems Good understanding and practical knowledge in cloud based services (e.g. gRPC, GraphQL, Docker/Kubernetes, cloud services such as AWS, etc.) Office-assigned Stripes in most of our locations are currently expected to spend at least 50% of the time in a given month in their local office or with users. This expectation may vary depending on role, team and location. For example, Stripes in our Bucharest, Romania site have an 80% in-office expectation, and those in Stripe Delivery Center roles in Mexico City, Mexico and Bengaluru, India work 100% from the office. Also, some teams have greater in-office attendance requirements, to appropriately support our users and workflows, which the hiring manager will discuss. This approach helps strike a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility when possible. The annual salary range for this role in the primary location is £81,600 - £122,400. This range may change if you are hired in another location. For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate's experience, qualifications, and specific location. Applicants interested in this role and who are not located in the primary location may request the annual salary range for their location during the interview process. Specific benefits and details about what compensation is included in the salary range listed above will vary depending on the applicant's location and can be discussed in more detail during the interview process. Benefits/additional compensation for this role may include: equity, company bonus or sales commissions/bonuses; retirement plans; health benefits; and wellness stipends. At Stripe, we're looking for people with passion, grit, and integrity. You're encouraged to apply even if your experience doesn't precisely match the job description. Your skills and passion will stand out-and set you apart-especially if your career has taken some extraordinary twists and turns. At Stripe, we welcome diverse perspectives and people who think rigorously and aren't afraid to challenge assumptions. Join us.

A leading financial infrastructure platform in Greater London is seeking a Backend Engineer to build APIs and manage global money movement. You will work on the balance management and funds accessibility platforms, collaborating with cross-functional teams to solve user needs. Required qualifications include 2-12+ years of software engineering experience and strong coding skills. The job includes a flexible in-office presence of at least 50%. The salary ranges from £81,600 to £122,400 based on experience.

Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world's largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team Our Data Science team partners deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make decisions and grow responsibly. We're looking for data scientists with a passion for analyzing data, building machine learning and statistical models, and running experiments to drive impact. Our work is broad and varied, influencing how our products work (e.g. understanding user needs, preventing fraud, or optimizing charge flows), how our business works (forecasting key outcomes, managing liquidity, quantifying risk exposure), how our go-to-market motions operate (designing growth experiments, optimizing marketing investments, refining sales processes, and estimating causal effects), and everything in between. We have a variety of Data Science roles and teams across Stripe and will seek to align you to the most relevant team based on your background. What you'll do We're looking for a Data Scientist to partner with the Product, Finance, Payments, Security, Risk, Growth and Go-to-Market teams. You'll work closely with a specific part of the business, playing a crucial role in optimizing our systems and leveraging data to make strategic business decisions. As a Data Scientist as Stripe, it's our mission to ensure that the company strategy, products, and user interactions make smart use of our rich data, using techniques like machine learning, statistical modeling, causal inference, optimization, experimentation, and all forms of analytics. Who you are We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. 3-8+ years of data science/quantitative modeling experience Proficiency in SQL and a computing language such as Python or R Strong knowledge and hands-on experience in several of the following areas: machine learning, statistics, optimization, product analytics, causal inference, and/or experimentation Experience in working with cross-functional teams to deliver results Ability to communicate results clearly and a focus on driving impact A demonstrated ability to manage and deliver on multiple projects with a high attention to detail Solid business acumen and experience in synthesizing complex analyses into actionable recommendations A builder's mindset with a willingness to question assumptions and conventional wisdom Preferred qualifications Experience deploying models in production and adjusting model thresholds to improve performance Experience designing, running, and analyzing complex experiments or leveraging causal inference designs Experience with distributed tools such as Spark, Hadoop, etc. A PhD or MS in a quantitative field (e.g., Statistics, Engineering, Mathematics, Economics, Quantitative Finance, Sciences, Operations Research) Office-assigned Stripes in most of our locations are currently expected to spend at least 50% of the time in a given month in their local office or with users. This expectation may vary depending on role, team and location. For example, Stripes in our Bucharest, Romania site have an 80% in-office expectation, and those in Stripe Delivery Center roles in Mexico City, Mexico and Bengaluru, India work 100% from the office. Also, some teams have greater in-office attendance requirements, to appropriately support our users and workflows, which the hiring manager will discuss. This approach helps strike a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility when possible. The annual salary range for this role in the primary location is £99,200 - £148,800. This range may change if you are hired in another location. For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate's experience, qualifications, and specific location. Applicants interested in this role and who are not located in the primary location may request the annual salary range for their location during the interview process. Specific benefits and details about what compensation is included in the salary range listed above will vary depending on the applicant's location and can be discussed in more detail during the interview process. Benefits/additional compensation for this role may include: equity, company bonus or sales commissions/bonuses; retirement plans; health benefits; and wellness stipends. At Stripe, we're looking for people with passion, grit, and integrity. You're encouraged to apply even if your experience doesn't precisely match the job description. Your skills and passion will stand out-and set you apart-especially if your career has taken some extraordinary twists and turns. At Stripe, we welcome diverse perspectives and people who think rigorously and aren't afraid to challenge assumptions. Join us.

A leading financial technology company in Greater London is seeking a Data Scientist to optimize systems and use data for strategic decisions. This role involves partnering with various teams to drive impactful analytics, utilizing machine learning and statistical modeling. The ideal candidate has 3-8+ years of data science experience, proficiency in SQL and Python or R, and a solid understanding of causal inference and optimization techniques. Competitive salary and dynamic team culture offered.