Monzo

Position Overview We're on a mission to make money work for everyone. We're waving goodbye to the complicated and confusing ways of traditional banking. With our hot coral cards and get paid early feature, combined with financial education on social media and award winning customer service, we have a long history of creating magical moments for our customers. We're not about selling products - we want to solve problems and change lives through Monzo. Borrowing Analytics Engineering Team Our mission in borrowing is to enable people's financial goals through better borrowing. Customers look to borrow money to enable them to achieve something in their lives - whether that's making a big life event affordable, buying something they need now without affecting their monthly budget, or getting by until payday. We're looking for a Lead Analytics Engineer within our borrowing team to help build world class service for the bank of the future. Responsibilities Serve as a data architect for Monzo's borrowing data, contributing to the design and scalability of data models that measure the performance of our product suite. Develop robust data models downstream of backend services, primarily in BigQuery, to support internal reporting, machine learning, large language models, as well as financial and regulatory use cases. Be a key voice in shaping and maintaining best practices for our data warehouse, including source data payload design, logical data modelling, implementation, metadata, and testing standards. Collaboratively set standards and work with data across Monzo, fostering knowledge sharing and continuously improving data practices. Contribute to prioritising data governance issues, ensuring a comprehensive approach to data integrity and compliance. Act as a key technical leader who can champion central platform initiatives that aim to elevate the data standards across borrowing and beyond. Qualifications Strong passion for data modelling, ETL projects, and Big Data. Experience working with data streams from various services, such as financial, transactional, and operational systems. SQL and data modelling are second nature; comfortable with general data warehouse concepts. Committed to continuous improvement, proactively identifying opportunities and addressing challenges. Experience building robust and reliable data sets that require a high level of control. Enjoy working with cross functional fast moving teams and passionate about serving our customers. Strategic thinking about credit products and how underlying data models will unlock more insights and value. Excited about enabling other data scientists, analytics engineers, and credit analysts by sharing expertise on data architecture. Ability to shape big, ambiguous data domains and obtain the required buy in from key leaders. Capacity to shape and manage the technical roadmap of an entire domain and deliver on project plans. Leading through the contributions of others by leveraging the multiplier effect to create exponential value across borrowing and analytics engineering. Excellent cross functional stakeholder communication and effective engagement with senior technical leaders. Interview Process Our interview process involves four main stages: Technical task Three one hour sessions (final interview) It typically takes around three to four weeks, but we will work around your availability. Location & Flexibility This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London). We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. Benefits Learning budget of £1,000 a year for books, training courses and conferences. And many more benefits (see our full list of benefits). Equal Opportunities We're an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity or disability status.

Monzo is seeking a Lead Analytics Engineer to enhance their borrowing team's data architecture and analytics. The successful candidate will develop scalable models in BigQuery to support various financial use cases while collaborating closely with cross-functional teams. This position offers flexibility to work remotely within the UK and provides a learning budget of £1,000 a year for professional development. Join us in shaping the future of banking!

Analytics Engineering at Monzo Analytics Engineering is at the core of how we build our data to enable Monzo to make better and faster decisions by having a performant, scalable, and high quality data warehouse. As an Analytics Engineer, you will work collaboratively with product, engineering, and data science to build downstream data models from backend services, support internal reporting, machine learning, financial and regulatory use cases, and optimise the data warehouse. Responsibilities Support the building of robust data models downstream of backend services (mostly in BigQuery) that support internal reporting, machine learning, and financial and regulatory use cases. Focus on optimisation of our Data Warehouse, spotting opportunities to reduce complexity and cost. Help define and manage best practices for our Data Warehouse, including payload design of source data, logical data modelling, implementation, metadata and testing standards. Set standards and ways of working with data across Monzo, collaborating with others to make it happen. Apply established best practices and standards defined by the team within other areas of the business. Investigate and effectively work with colleagues from other disciplines to monitor and improve data quality within the warehouse. Contribute to prioritisation of data governance issues. Own and support the pipelines you contribute to; on call support out of hours may be expected from time to time. Qualifications You enjoy working with cross functional fast moving teams and are passionate about serving small businesses. You can think strategically about the Business Banking product and how our underlying data models will unlock more insights for our team and more value for our customers. You have a strong passion for data modelling, ETL projects, and Big Data. You work comfortably with data streams from various services, such as financial, transactional, and operational systems. SQL and data modelling are second nature to you, and you are comfortable with general Data Warehouse concepts. You are committed to continuous improvement, proactively identifying opportunities and addressing challenges in your work and the work of others. Nice to have Experience working within a finance function or knowledge of accounting. Experience working in a highly regulated environment (finance, gaming, food, health care). Knowledge of regulatory reporting and treasury operations in retail banking. Exposure to Python, Go or similar languages. Experience working with orchestration frameworks such as Airflow or Luigi. Experience with dbt, dataform or similar tooling. Familiarity with agile ways of working (Kanban, Scrum). Benefits We can help you relocate to the UK. We can sponsor visas. This role can be based in our London office, but we are open to distributed working within the UK with occasional meetings in London. We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. Learning budget of £1,000 a year for books, training courses and conferences. And much more - see our full list of benefits. Equal opportunities for everyone Diversity and inclusion are a priority for us and we're making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we're embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. We're an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status.

Monzo is looking for an Analytics Engineer to enhance our data warehouse and improve decision-making processes. This role involves building data models and optimizing our data warehouse, working with various teams on internal reporting and machine learning use cases. The ideal candidate will have strong SQL skills, experience with data modeling, and a passion for continuous improvement. Benefits include flexible working hours, learning budgets, and opportunities to relocate or sponsor visas.

We're on a mission to make money work for everyone. We're waving goodbye to the complicated and confusing ways of traditional banking. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers. We're not about selling products - we want to solve problems and change lives through Monzo. Locations & flexible working: Our main tech hub is in London, but our data teams are based all over the UK. We love meeting in person, but there's no pressure to come into the office, even if you're nearby. You'll do your best work where you feel most comfortable. We value flexibility, connection, and wellbeing. You'll have the freedom to work in a way that fits your life, whether that's school drop-offs, avoiding rush hour, or making time for what matters most. Your responsibilities as a Lead Analytics Engineer will include: Serving as a data architect for Monzo's Operations data, contributing to the design and scalability of data models that measure the performance of our Operations product suite. Develop robust data models downstream of backend services, primarily in BigQuery, to support internal reporting, machine learning, large language models, as well as financial and regulatory use cases. Scope, build and lead the re-architecture of entire domains across Operations, including data about our workforce and about demands of our customers. Be a key voice in shaping and maintaining best practices for our Data Warehouse, including source data payload design, logical data modelling, implementation, metadata, and testing standards. Collaboratively set standards and work with data across Monzo, fostering knowledge sharing and continuously improving data practices. Contribute to prioritising data governance issues, ensuring a comprehensive approach to data integrity and compliance. Be a key technical leader who champions central platform initiatives that aim to elevate the data standards across Operations and beyond. Own and support the pipelines we contribute to; on call support out of hours may be expected from time to time. You should apply if: You have a strong passion for data modelling, ETL projects, and Big Data. You enjoy working with data streams from various services, such as financial, transactional, and operational systems. SQL and data modelling are second nature to you, and you are comfortable with general Data Warehousing concepts. You are committed to continuous improvement, proactively identifying opportunities and addressing challenges in your work and the work of others. You have experience building robust and reliable data sets that require a high level of control. You enjoy working with cross functional fast moving teams and are passionate about serving our customers. You can think strategically about credit products and how our underlying data models will unlock more insights for our team and more value for our customers. You are excited about enabling other data scientists, analytics engineers and credit analysts by sharing your expertise on data architecture. You have the ability to shape big, ambiguous data domains and get the required buy in from key leaders across the business. You can shape and manage the technical roadmap of an entire domain and execute against the project plan's deliverables. You lead through the contributions of others by effectively leveraging the multiplier effect to create exponential value across Operations and Analytics Engineering. You excel in cross functional stakeholder communication (back end engineers, product managers, and credit analysts), while also effectively engaging with senior technical leaders. What's in it for you: We can help you relocate to the UK and sponsor visas. This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London). We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. Learning budget of £1,000 a year for books, training courses and conferences. And much more - see our full list of benefits here. Equal opportunities for everyone Diversity and inclusion are a priority for us and we're making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we're embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. We can read more in our blog, the 2026 Diversity and Inclusion Report and the 2025 Gender Pay Gap Report. We're an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status.

Monzo in Greater London is looking for a Lead Analytics Engineer to serve as a data architect for operational data, contributing to robust data models and ensuring data integrity. This role supports flexible working within the UK and offers a learning budget of £1,000 a year. The ideal candidate has a passion for data modelling, SQL expertise, and strong communication skills to engage with cross-functional teams. Join us to help shape the future of banking.

Monzo is looking for a Full-Stack Engineer to join their team in London. In this role, you will work collaboratively in a squad to build and support essential features for users, leveraging your experience in backend technology and user interface design. The position offers a competitive salary range of £105,000 to £135,000 with benefits such as remote working flexibility, a £1,000 annual learning budget, and relocation assistance. Join an inclusive culture that values diverse perspectives at Monzo.

Overview Monzo is a digital bank that aims to simplify banking for everyone. We build an in house banking platform and empower teams to design products, improve infrastructure, and solve customer challenges across security, payments, and data. What we're looking for Strong experience working on the backend of a technology product A passion for building a product that users rely on every day A product mindset: care about customer outcomes and make data informed decisions Comfortable working in a team that deals with ambiguity Interest in distributed systems and writing resilient software Experience with strongly typed languages such as Go, Java, C, Scala, or similar Experience building performant web experiences and designing UI that makes it easy for users to accomplish their goals Enjoyment of the type of work we're doing Responsibilities As a Full Stack Engineer you will work in a squad with product managers, designers, researchers, mobile engineers, and data analysts to build and support a specific part of Monzo. You will collaborate across disciplines, own features that customers use every day, and contribute to both product and infrastructure initiatives. Technology stack Go for application logic AWS for production infrastructure and GCP for data infrastructure React for public web apps and internal tools Physical datacenters and connectivity to third party services Interview Process Initial Call Technical Interview Final interview, including a system design and a behavioural interview Benefits £105,000 - £135,000 salary plus incentive awards linked to performance Relocation assistance to the UK Visa sponsorship available Option to work from the London office or remotely within the UK with occasional in person meetings Flexible working hours and trust to work at times that suit you and your team £1,000 annual learning budget for books, courses, and conferences Equal Opportunities We are an equal opportunity employer. All applicants will be considered for employment without regard to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, veteran status, neurodiversity, or disability status. Monzo embraces diversity by fostering an inclusive environment for all people to do their best work.

A leading financial technology company in the UK is seeking a Senior Staff Engineer to guide technical direction across multiple squads. This role involves hands-on involvement in coding and architecture, mentoring engineers, and driving improvements in quality and scalability. Candidates should be skilled in leading complex systems and possess strong technical judgment. The position offers flexible working arrangements, relocation assistance, and a robust learning budget.

We're on a mission to make money work for everyone. We're waving goodbye to the complicated and confusing ways of traditional banking. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We're not about selling products - we want to solve problems and change lives through Monzo ️ We have around 600 engineers out of roughly 5,000 people in total - and we have big ambitions. There are many interesting challenges ahead, and we're happy for people to move between teams or to specialise, whatever you prefer. As an engineer here you'd be able to work directly with anyone across the company, and we run regular knowledge-sharing sessions so you'll learn heaps about everything from how banks work to effective communication. Senior Staff Engineer (IC) A Senior Staff Engineer at Monzo is a hands on engineering leadership (IC) position. As a Senior Staff Engineer you'll: Partner with Engineering Directors to shape the technical and product direction of a collective, providing leadership across multiple squads (30-70+ engineers) and ensuring alignment with company wide priorities. Be hands on in both coding and architecture, leading from the front. Partner closely with Product and Design leadership to define strategy, shape roadmaps, and make high quality trade offs that maximise business and customer impact across the collective. Mobilise teams across your collective around high impact problems, creating clarity, alignment and momentum, injecting urgency when needed, or slowing things down to ensure safety and long term sustainability. Lead and influence architectural direction for the most complex systems, ensuring cohesive, scalable designs across multiple teams and aligning local decisions with the broader system strategy. Set and uphold a high bar for technical excellence across the collective, driving improvements in quality, reliability and scalability, and fostering a culture where engineers hold each other to that standard. Proactively mentor, sponsor and develop senior engineers and future leaders, multiplying your impact by enabling others to operate at a higher level. What you'll be using / What you'll be working on We rely heavily on the following tools and technologies: Go to write our application code (there's an excellent interactive Go tutorial here) AWS for most of our production infrastructure and GCP for most of our data infrastructure. Feast for storing our features along a variety of tools to train and deploy models. We'd love to hear from you if You have a track record of leading complex, high impact systems and driving technical direction across multiple teams You combine strong technical judgment with product and business awareness, making pragmatic trade offs You've worked on scalable backend, distributed or data intensive systems You're comfortable operating in ambiguous problem spaces, helping teams define direction and execute You influence and align senior stakeholders across engineering, product and beyond You care about outcomes and impact, using data to guide decisions You enjoy mentoring and raising the bar for other engineers What's in it for you ️ We'll help you relocate to the UK. We can sponsor your visa. This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London). We offer flexible working hours and trust you to work enough hours to do your job well, and at times that suit you and your team. £1,000 learning budget each year to use on books, training courses and conferences. We will set you up to work from home; all employees are given Macbooks and for fully remote workers we will provide extra support for your work from home setup. The application journey has 4 key steps Our interview process involves four main stages after an informal recruiter call: Initial Call System Design Interview Take home task or pair coding exercise Final interview including a behavioural and a leadership interview This process should take around 3 4 weeks - your schedule is really important to us, so we promise to be as flexible as possible! One of our staff engineers has written a detailed blog on their experience through this process, for extra details, hints and tips please see here. Equal opportunities for everyone We're an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status. If you have a preferred name, please use it to apply. We don't need full or birth names at application stage Benefits We are proud to offer a comprehensive benefits package, but this role can be based in London or remotely within the UK:

A leading financial technology company in the UK is seeking a Senior Staff Engineer to guide technical direction across multiple squads. This role involves hands-on involvement in coding and architecture, mentoring engineers, and driving improvements in quality and scalability. Candidates should be skilled in leading complex systems and possess strong technical judgment. The position offers flexible working arrangements, relocation assistance, and a robust learning budget.

We're on a mission to make money work for everyone. We're waving goodbye to the complicated and confusing ways of traditional banking. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We're not about selling products - we want to solve problems and change lives through Monzo ️ We have around 600 engineers out of roughly 5,000 people in total - and we have big ambitions. There are many interesting challenges ahead, and we're happy for people to move between teams or to specialise, whatever you prefer. As an engineer here you'd be able to work directly with anyone across the company, and we run regular knowledge-sharing sessions so you'll learn heaps about everything from how banks work to effective communication. Senior Staff Engineer (IC) A Senior Staff Engineer at Monzo is a hands on engineering leadership (IC) position. As a Senior Staff Engineer you'll: Partner with Engineering Directors to shape the technical and product direction of a collective, providing leadership across multiple squads (30-70+ engineers) and ensuring alignment with company wide priorities. Be hands on in both coding and architecture, leading from the front. Partner closely with Product and Design leadership to define strategy, shape roadmaps, and make high quality trade offs that maximise business and customer impact across the collective. Mobilise teams across your collective around high impact problems, creating clarity, alignment and momentum, injecting urgency when needed, or slowing things down to ensure safety and long term sustainability. Lead and influence architectural direction for the most complex systems, ensuring cohesive, scalable designs across multiple teams and aligning local decisions with the broader system strategy. Set and uphold a high bar for technical excellence across the collective, driving improvements in quality, reliability and scalability, and fostering a culture where engineers hold each other to that standard. Proactively mentor, sponsor and develop senior engineers and future leaders, multiplying your impact by enabling others to operate at a higher level. What you'll be using / What you'll be working on We rely heavily on the following tools and technologies: Go to write our application code (there's an excellent interactive Go tutorial here) AWS for most of our production infrastructure and GCP for most of our data infrastructure. Feast for storing our features along a variety of tools to train and deploy models. We'd love to hear from you if You have a track record of leading complex, high impact systems and driving technical direction across multiple teams You combine strong technical judgment with product and business awareness, making pragmatic trade offs You've worked on scalable backend, distributed or data intensive systems You're comfortable operating in ambiguous problem spaces, helping teams define direction and execute You influence and align senior stakeholders across engineering, product and beyond You care about outcomes and impact, using data to guide decisions You enjoy mentoring and raising the bar for other engineers What's in it for you ️ We'll help you relocate to the UK. We can sponsor your visa. This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London). We offer flexible working hours and trust you to work enough hours to do your job well, and at times that suit you and your team. £1,000 learning budget each year to use on books, training courses and conferences. We will set you up to work from home; all employees are given Macbooks and for fully remote workers we will provide extra support for your work from home setup. The application journey has 4 key steps Our interview process involves four main stages after an informal recruiter call: Initial Call System Design Interview Take home task or pair coding exercise Final interview including a behavioural and a leadership interview This process should take around 3 4 weeks - your schedule is really important to us, so we promise to be as flexible as possible! One of our staff engineers has written a detailed blog on their experience through this process, for extra details, hints and tips please see here. Equal opportunities for everyone We're an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status. If you have a preferred name, please use it to apply. We don't need full or birth names at application stage Benefits We are proud to offer a comprehensive benefits package, but this role can be based in London or remotely within the UK:

Role Overview We're on a mission to make money work for everyone. We're waving goodbye to the complicated and confusing ways of traditional banking. With our hot coral cards and get paid early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers. We're not about selling products - we want to solve problems and change lives through Monzo. We have around 400 engineers across Monzo who design and build our in house banking platform. Technology plays a big role in creating a bank our customers want, so engineers at Monzo collaborate across disciplines to solve interesting challenges throughout the company. These range from the products our customers use every day to underlying infrastructure, security, payments and finance, customer operations, financial crime, and data, to name just a few areas. As a bank, there is scope for impact across a huge number of opportunities. Responsibilities This role is all about collaborating with your team to make a difference to your customers. As a full stack engineer you'll work in a squad alongside other disciplines like product managers, marketers, user researchers, designers, mobile engineers, web engineers, data analysts, business analysts, writers and more. Together you'll build and support a particular part of Monzo. Our squads belong to our wider collectives (Core Banking, Business Banking, Wealth, Borrowing, Growth, Payments, Platform, Fincrime, Security & Expansion). What you'll be working on: Go to write application code (there's an excellent interactive Go tutorial available) AWS for most of our production infrastructure and GCP for most of our data infrastructure React for our public web apps and internal tools Physical datacenters with third party connectivity for certain services Qualifications Strong experience working on the backend of a technology product Want to be involved in building a product that you (and the people you know) use every day Product mindset - care about customer outcomes and make data informed decisions Comfortable working in a team that deals with ambiguity Interested in distributed systems and writing resilient software Some experience with strongly typed languages (Go, Java, C, Scala, etc.) Interest in building performant web experiences and designing/building UI that makes it easy for users to accomplish what they need Enjoy the kind of work we're doing We're on the look out for L40 and L50 Engineers. If you're not sure which level you're aiming for, discuss it with your recruiters. The Interview Process Our interview process involves four main stages: Initial Call Technical Interview Final interview including a system design and a behavioural interview The average process takes around 2 3 weeks, but we work around your availability. What's in it for you Relocation assistance to the UK Visa sponsorship where applicable Role can be based in London office or distributed within the UK with occasional meetings in London Flexible working hours with focus on outcome rather than clock time Learning budget of £1,000 a year for books, training courses and conferences Additional benefits available - see our full list of benefits for detail Equal opportunities for everyone We're an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity or disability status. Diversity and inclusion are a priority for us and we're making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we're embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog, 2026 Diversity and Inclusion Report and 2025 Gender Pay Gap Report. Required by law We legally must verify your right to work in the UK before you can start working for us. Your answer to this question will not affect the outcome of your application unless you need visa sponsorship for a role we can't sponsor. Preferred name and pronouns If you have a preferred name or pronouns, please include them in your application. We do not require full or birth names at the application stage. Data privacy notice We keep your data safe. Please review our Candidate Data Privacy Notice, which explains how we store and process your application data.

You'll play a key role by: This role sits as part of a multidisciplinary squad, collaborating with other Machine Learning Scientists, Data Scientists, Backend Engineers, Operations specialists, Product managers, and Risk managers. You'll play a key role by leveraging your deep experience of developing and deploying advanced Machine Learning models as to: Automatically and accurately detect suspicious user behaviours while minimising impact to genuine customers and operational costs. Adapt quickly and appropriately to changing fraud and financial crime trends, ensuring our detection systems remain performant through time. Design machine learning solutions that scale globally. The technical approaches you take to solve these problems will be very much in your hands and we'll strongly encourage and support experimentation and innovation. We'll be expecting you to justify and demonstrate effectiveness along the way, making sure the approach meets our business and customer needs. You should apply if: What we're doing here at Monzo excites you! You have a track record of deploying advanced Machine Learning models tackling real business problems with demonstrable impact, preferably in a fast moving tech company. You are impact driven and excited to own the end to end journey that starts with a business problem and ends with your solution having a measurable impact in production. You have a passion for sharing knowledge and raising the technical bar across the team. You have a self-starter mindset; you proactively identify the most impactful issues and opportunities and collaboratively tackle them without being told to do so. Using advanced ML techniques to ensure Monzo's customers money stays safe, even if their card, phone or account is compromised, sounds exciting to you. You have extensive experience writing production Python code and a strong command of SQL. You are comfortable using them every day, and keen to learn Go lang which is used in many of our backend microservices. You have experience developing and shipping deep learning, graph-based, and/or sequence-based ML architectures to production and delivering business impact. You thrive working on ambiguous problems and have a track record of helping your team and stakeholders resolve that ambiguity. You have strong communication skills and are able to explain complex technical concepts to non-technical stakeholders. You want to be involved in building a product that you and the people you know use every day, with a product mindset that prioritises customer outcomes and data-informed decisions. You're excited about fast-moving developments in Machine Learning and can communicate those ideas to colleagues who are not familiar with the domain. You're adaptable, curious and enjoy learning new technologies and ideas. Nice to haves: Experience in supporting your team in shaping the ML strategy of your area Experience working with financial crime, operations and in regulated institutions Commercial experience writing critical production code and working with microservices Experience in evaluating ML models in live environments such as through A/B tests What's in it for you We'll help you relocate to the UK. We can sponsor your visa. This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London). We offer flexible working hours and trust you to work enough hours to do your job well, and at times that suit you and your team. £1,000 learning budget each year to use on books, training courses and conferences. We will set you up to work from home; all employees are given Macbooks and for fully remote workers we will provide extra support for your work-from-home setup. Our interview process involves 3 main stages. We promise not to ask you any brain teasers or trick questions! 30 minute recruiter call 45 minute call with hiring manager 1 take home task 2 x 1-hour video calls with various team members Our average process takes around 3-4 weeks but we will always work around your availability. Our goal at Monzo is to make money work for everyone. To do that, working at Monzo must work for everyone. We want to create an equitable, engaged and innovative workplace which gives people from all backgrounds the support they need to thrive and grow. Making Monzo work for everyone starts right at the beginning of every Monzonaut's journey: when they apply to work here. This demographic survey will help us better understand the people who apply to work at Monzo. It'll help us see how different groups progress through our hiring process, and where we need to make improvements to be more inclusive. If you choose to fill it out, all of the information you give us is voluntary. We have included a "prefer not to say" option for every question. It'd be helpful if you still fill out the survey even if you choose "prefer not to say" for every question, as it's useful for us to understand & record this. We won't know if you choose to fill this survey in or not. Anonymous to Monzo. We can't tie your responses to you and they won't make a difference to the outcome of your application. We'll only use grouped responses for equal opportunities monitoring in our hiring process. By filling out this survey, you agree that we can use your responses for the purposes we've mentioned above. You are not letting us know if we need to make any adjustments to the hiring process because of disability or neurodiversity - to do this please email us.

Monzo is looking for a Machine Learning expert who will collaborate with cross-functional teams to develop advanced models addressing real business challenges. This role allows for flexibility within the UK, focusing on enhancing user safety while ensuring operational efficiency. The ideal candidate will have significant experience in deploying machine learning solutions and a passion for experimenting and innovating in a dynamic tech environment. Monzo supports relocation and offers a £1,000 learning budget annually.

You'll play a key role by: This role sits as part of a multidisciplinary squad, collaborating with other Machine Learning Scientists, Data Scientists, Backend Engineers, Operations specialists, Product managers, and Risk managers. You'll play a key role by leveraging your deep experience of developing and deploying advanced Machine Learning models as to: Automatically and accurately detect suspicious user behaviours while minimising impact to genuine customers and operational costs. Adapt quickly and appropriately to changing fraud and financial crime trends, ensuring our detection systems remain performant through time. Design machine learning solutions that scale globally. The technical approaches you take to solve these problems will be very much in your hands and we'll strongly encourage and support experimentation and innovation. We'll be expecting you to justify and demonstrate effectiveness along the way, making sure the approach meets our business and customer needs. You should apply if: What we're doing here at Monzo excites you! You have a track record of deploying advanced Machine Learning models tackling real business problems with demonstrable impact, preferably in a fast moving tech company. You are impact driven and excited to own the end to end journey that starts with a business problem and ends with your solution having a measurable impact in production. You have a passion for sharing knowledge and raising the technical bar across the team. You have a self-starter mindset; you proactively identify the most impactful issues and opportunities and collaboratively tackle them without being told to do so. Using advanced ML techniques to ensure Monzo's customers money stays safe, even if their card, phone or account is compromised, sounds exciting to you. You have extensive experience writing production Python code and a strong command of SQL. You are comfortable using them every day, and keen to learn Go lang which is used in many of our backend microservices. You have experience developing and shipping deep learning, graph-based, and/or sequence-based ML architectures to production and delivering business impact. You thrive working on ambiguous problems and have a track record of helping your team and stakeholders resolve that ambiguity. You have strong communication skills and are able to explain complex technical concepts to non-technical stakeholders. You want to be involved in building a product that you and the people you know use every day, with a product mindset that prioritises customer outcomes and data-informed decisions. You're excited about fast-moving developments in Machine Learning and can communicate those ideas to colleagues who are not familiar with the domain. You're adaptable, curious and enjoy learning new technologies and ideas. Nice to haves: Experience in supporting your team in shaping the ML strategy of your area Experience working with financial crime, operations and in regulated institutions Commercial experience writing critical production code and working with microservices Experience in evaluating ML models in live environments such as through A/B tests What's in it for you We'll help you relocate to the UK. We can sponsor your visa. This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London). We offer flexible working hours and trust you to work enough hours to do your job well, and at times that suit you and your team. £1,000 learning budget each year to use on books, training courses and conferences. We will set you up to work from home; all employees are given Macbooks and for fully remote workers we will provide extra support for your work-from-home setup. Our interview process involves 3 main stages. We promise not to ask you any brain teasers or trick questions! 30 minute recruiter call 45 minute call with hiring manager 1 take home task 2 x 1-hour video calls with various team members Our average process takes around 3-4 weeks but we will always work around your availability. Our goal at Monzo is to make money work for everyone. To do that, working at Monzo must work for everyone. We want to create an equitable, engaged and innovative workplace which gives people from all backgrounds the support they need to thrive and grow. Making Monzo work for everyone starts right at the beginning of every Monzonaut's journey: when they apply to work here. This demographic survey will help us better understand the people who apply to work at Monzo. It'll help us see how different groups progress through our hiring process, and where we need to make improvements to be more inclusive. If you choose to fill it out, all of the information you give us is voluntary. We have included a "prefer not to say" option for every question. It'd be helpful if you still fill out the survey even if you choose "prefer not to say" for every question, as it's useful for us to understand & record this. We won't know if you choose to fill this survey in or not. Anonymous to Monzo. We can't tie your responses to you and they won't make a difference to the outcome of your application. We'll only use grouped responses for equal opportunities monitoring in our hiring process. By filling out this survey, you agree that we can use your responses for the purposes we've mentioned above. You are not letting us know if we need to make any adjustments to the hiring process because of disability or neurodiversity - to do this please email us.

Monzo is looking for a Machine Learning expert who will collaborate with cross-functional teams to develop advanced models addressing real business challenges. This role allows for flexibility within the UK, focusing on enhancing user safety while ensuring operational efficiency. The ideal candidate will have significant experience in deploying machine learning solutions and a passion for experimenting and innovating in a dynamic tech environment. Monzo supports relocation and offers a £1,000 learning budget annually.

Monzo is seeking a backend engineer to join its dynamic team in Greater London. In this role, you will collaborate with product managers, designers, and engineers to build resilient systems that power the Monzo banking experience. Strong experience in building backend services and familiarity with strongly-typed programming languages like Go, Java, or Scala are essential. The position offers a competitive salary ranging from £95,000 to £130,000, alongside numerous benefits like flexible working, a professional learning budget, and parental leave.

Monzo is seeking a backend engineer to join its dynamic team in Greater London. In this role, you will collaborate with product managers, designers, and engineers to build resilient systems that power the Monzo banking experience. Strong experience in building backend services and familiarity with strongly-typed programming languages like Go, Java, or Scala are essential. The position offers a competitive salary ranging from £95,000 to £130,000, alongside numerous benefits like flexible working, a professional learning budget, and parental leave.

Monzo is seeking a Product-Backend Engineer to join its cross-disciplinary team in London. You will write scalable backend services, analyze user data, and contribute to system design discussions. The ideal candidate has strong experience in backend development, is comfortable with distributed systems, and embraces cross-functional collaboration. This role offers a competitive salary, flexible working hours, and a comprehensive benefits package.