📍London, Cardiff or Remote in the UK | 💰 £97,800 -125,000 + Benefits | Hear from the team ✨ 

⭐Our Borrowing Analytics Engineering Team:

Our Mission in Borrowing is to enable people's financial goals through better borrowing. Our 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. And we’re looking to shape this mission by building products that our customers love, whilst scaling those top revenue lines across the business safely. 

We're looking for a Lead Analytics Engineer within our borrowing team to help build world class service for the bank of the future. You will play a critical role in overseeing our foundational data platforms, identifying and driving opportunities to enhance our current capabilities. Your expertise will be pivotal in allowing us to scale into new global markets, build new products and shape the future of how we serve our customers. 

We have a strong culture of data-driven decision making across the whole company. And we're great believers in powerful, real-time analytics and empowerment of the wider business. 

🔑You’ll play a key role by...

• Serving 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.
• Being a key technical leader who’s able to champion central platform initiatives that aim to elevate the data standards across Borrowing  and beyond. 

🤩We’d love to hear from you :

• 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 are able to 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 are able to shape and manage the technical roadmap of an entire domain and execute against the project plan’s deliverables.
• You are leading through the contributions of others by effectively leveraging the multiplier effect to create exponential value across Borrowing and Analytics Engineering.
• Excel in cross-functional stakeholder communication (back-end engineers, product managers, and credit analysts), while also effectively engaging with senior technical leaders.

The interview process:

Our interview process involves 4 main stages: 

• Recruiter call
• Initial call  
• Technical task 
• 3 x 1 hours sessions (final interview)

Our average process takes around 3-4 weeks but we will always work around your availability. 

What’s in it for you:

💰 £97,800-£125,000 base + Benefits

✈️ We can help you relocate to the UK 

✅ We can 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

#LI-AS #LI-Remote

📍London, Cardiff or Remote in the UK | 💰 £97,800 -125,000 + Benefits | Hear from the team ✨ 

⭐Our Borrowing Analytics Engineering Team:

Our Mission in Borrowing is to enable people's financial goals through better borrowing. Our 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. And we’re looking to shape this mission by building products that our customers love, whilst scaling those top revenue lines across the business safely. 

We're looking for a Lead Analytics Engineer within our borrowing team to help build world class service for the bank of the future. You will play a critical role in overseeing our foundational data platforms, identifying and driving opportunities to enhance our current capabilities. Your expertise will be pivotal in allowing us to scale into new global markets, build new products and shape the future of how we serve our customers. 

We have a strong culture of data-driven decision making across the whole company. And we're great believers in powerful, real-time analytics and empowerment of the wider business. 

🔑You’ll play a key role by...

• Serving 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.
• Being a key technical leader who’s able to champion central platform initiatives that aim to elevate the data standards across Borrowing  and beyond. 

🤩We’d love to hear from you :

• 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 are able to 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 are able to shape and manage the technical roadmap of an entire domain and execute against the project plan’s deliverables.
• You are leading through the contributions of others by effectively leveraging the multiplier effect to create exponential value across Borrowing and Analytics Engineering.
• Excel in cross-functional stakeholder communication (back-end engineers, product managers, and credit analysts), while also effectively engaging with senior technical leaders.

The interview process:

Our interview process involves 4 main stages: 

• Recruiter call
• Initial call  
• Technical task 
• 3 x 1 hours sessions (final interview)

Our average process takes around 3-4 weeks but we will always work around your availability. 

What’s in it for you:

💰 £97,800-£125,000 base + Benefits

✈️ We can help you relocate to the UK 

✅ We can 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

#LI-AS #LI-Remote

📍London / UK Remote | 💰 Engineer III £78,000 - £110,000 + Incentive Awards tied to your performance + Benefits | Technology - Engineering |  

About our Engineering Teams:

We have around 400 engineers across Monzo who design and build our in-house banking platform. We have big ambitions for the future, and 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 everyday 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.

We contribute to open source software as much as possible. Our blog is a good place to learn even more about what we do!

Your day-to-day   

This role is all about collaborating with your team to make a difference to your customers. As a backend 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 (a word we use to describe self-governing business units of ~100 people). They are: Core Banking, Business Banking, Wealth, Borrowing, Growth, Payments, Platform, Fincrime, Security & Expansion. All of our collectives are doing innovative work, many of which have machine learning and AI at the forefront- from fighting financial crime to building smarter financial tools - and you may have the opportunity to join a collective that gives you direct exposure to this exciting space.

They’re all looking for additional Backend Engineers right now, we do a standard interview process across all our collectives and at the end we will find the best match for you based on your skills, experience, preferences and aligning with the business need! 

Our backend engineers have a variety of different backgrounds. As long as you enjoy learning new things, we’d love to talk to you. We do not ask for formal qualifications or degree requirements for any of our engineering roles.

How we work 💻:

Locations & Flexible Working : 

Our main tech hub is in London, but our engineers live everywhere in the UK— from Brighton to the Western Isles.

We value meeting in person but there’s no pressure to come into the office, even if you're nearby. We believe you'll do your best work if you are where you want to be. If you live outside of London and we ask you to come into the office, Monzo will support you with the costs. ✨

Our offices are naturally social, especially Tuesdays, Wednesdays and Thursdays, which happen to line up with our twice-weekly Monzo lunches & treat Thursdays 🍽️. Teams also schedule time together often for work and play – in or around the office, or online.

Set up a work schedule that delivers impact and fits your life.

At Monzo, we value connections, flexibility, and wellbeing. We keep our meetings during core hours to stay connected and believe in maintaining work/life balance. 
You’ll be empowered to manage your work in a way that suits you and your team, giving you the freedom for children drop-offs and pick-ups, walking your dog or adventurous cat, avoiding peak commuting times or gym slots, appointments, or supporting your family in an emergency. 🕒✨

Work the way that works for you with Monzo! 💼

You should apply if:

• you have strong experience working on the backend of a technology product
• you want to be involved in building a product that you (and the people you know) use every day
• you have a product mindset: you care about customer outcomes and you want to make data-informed decisions
• you’re comfortable working in a team that deals with ambiguity
• you’re interested in distributed systems and writing resilient software
• you have some experience with strongly-typed languages (Go, Java, C, Scala etc.).
• you think you’d enjoy the kind of work we’re doing

We're on the look out for L40 Engineers at the moment, you can read more in our Engineering Progression Framework you will be interviewed across the whole framework, so if you're not sure what level you're aiming for chat to your recruiter! 

Not ticking every box? That’s totally okay! Studies show that women and people of colour might hesitate to apply unless they meet every single requirement. At Monzo, we’re dedicated to creating a diverse and welcoming team. If you’re passionate about this role and keen to learn and grow with us, we encourage you to apply— even if you don’t have everything thats listed just yet. Drop us your application, we’d love to hear from you!

What you’ll be working on: 

We hire very technically agnostic so whilst we use the below technologies we do not expect prior knowledge, you will be fully supported in our organised onboarding to get up to speed in the below: 

• Go to write our application code (there’s an excellent interactive Go tutorial here)
• Cassandra for most persistent data storage
• Kafka for our asynchronous message queue
• Kubernetes and Docker to schedule and run our services 
• Envoy Proxy for RPC
• AWS for most of our production infrastructure and GCP for most of our data infrastructure
• React for our public web apps and internal tools
• We also have physical datacenters with actual cables to connect to various third parties

The Interview Process:

Our interview process involves three main stages: 

1. Initial Call 
2. Take home task or pair coding exercise 
3. Final interview: including a system design and a behavioural interview 

Our average process takes around 4 weeks but we will always work around your availability. 

One of our engineers has written a detailed blog on their experience through this process, for extra details, hints and tips please see here.

What’s in it for you:

💰 £78,000 - £110,000 base salary➕ plus stock options 

✈️We can help you relocate to the UK 

✅We can 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 

We're usually always hiring for Backend Engineers, so there's no closing date for this job.

#LI-Remote

#LI-HJ1

📍London / UK Remote | £78,000 - £110,000 + Incentive Awards tied to your performance  + Benefits

About Machine Learning Platform Engineering at Monzo:

The Platform Collective builds and maintains the infrastructure, tools and processes that sets the rest of Monzo technology teams up for success. We work on a wide range of shared infrastructure, services and engineer tooling.

The Machine Learning Platform team sits within the Platform Collective and is responsible for designing, building, and maintaining the infrastructure and tools which empower our teams to train, evaluate, deploy, and serve Machine Learning models and features at scale. 

Our team is made up of backend engineers with experience in the ML space, using our experience and curiosity to work with the ML teams to identify their needs, and test and build magically simple solutions.

How we work 💻

Locations & Flexible Working: 

Our main tech hub is in London, but our engineers live everywhere in the UK— from Brighton to the Western Isles. 

We value meeting in person but there’s no pressure to come into the office, even if you're nearby. We believe you'll do your best work if you are where you want to be. If you live outside of London and we ask you to come into the office, Monzo will support you with the costs. ✨

Our offices are naturally social, especially Tuesdays, Wednesdays and Thursdays, which happen to line up with our twice-weekly Monzo lunches & treat Thursdays 🍽️. Teams also schedule time together often for work and play – in or around the office, or online.

What you'll be working with: 

We rely heavily on the following tools and technologies, please note direct experience in these technologies is not required and our interview process can be completed in any language:

• Go to write our application code (there’s an excellent interactive Go tutorial here), in platform we build services to manage parts of the platform
• Python to help build our machine learning models and develop features
• Kubernetes to run our workloads
• AWS and GCP to operate our platform. We use AWS for our primary banking platform and Google Cloud for our Data and Machine Learning platform
• Terraform is primarily how we manage any resources deployed into the cloud
• Envoy Proxy for our RPC service mesh

🤩We’d love to hear from you if...

• You have experience working with AWS and/or GCP
• You are a hands on engineer with experience in building Machine Learning pipelines and the platforms that support them
• You have experience working with Kubernetes
• You’d be excited to build a platform that enables success for everyone at Monzo
• You’re comfortable working in a team that deals with ambiguity
• You’re naturally inclined to solve problems through automation
• You have some experience with strongly typed languages, writing and working on backend software
• You’re curious about systems and diving deep to investigate issues

We're on the look out for L40 Engineers at the moment, you can read more in our Engineering Progression Framework - we will interview you across the whole frame work, so if you are not sure what level you are aiming for please chat to your recruiters! 

The Interview Process:

Our interview process involves three main stages: 

1. Initial Call 
2. Take home task or pair coding exercise 
3. Final interview: including a system design and a behavioural interview 

Our average process takes around 4 weeks but we will always work around your availability. 

One of our engineers has written a detailed blog on their experience through this process, for extra details, hints and tips please see here.

What’s in it for you:

💰 £78,000 - £110,000 base salary + Incentive Awards tied to your performance

✈️We can help you relocate to the UK 

✅We can 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 

#LI-NB2 #LI-Remote

📍London / UK Remote | 💰 Senior Engineer (L50) £95,000 - £130,000 + Incentive Awards tied to your performance + Benefits | Technology - Engineering  

About our Engineering Teams:

We have around 400 engineers across Monzo who design and build our in-house banking platform. We have big ambitions for the future, and 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 everyday 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.

We contribute to open source software as much as possible. Our blog is a good place to learn even more about what we do!

Your day-to-day   

This role is all about collaborating with your team to make a difference to your customers. As a backend 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 (a word we use to describe self-governing business units of ~100 people). They are: Core Banking, Business Banking, Wealth, Borrowing, Growth, Payments, Platform, Fincrime, Security & Expansion. All of our collectives are doing innovative work, many of which have machine learning and AI at the forefront- from fighting financial crime to building smarter financial tools - and you may have the opportunity to join a collective that gives you direct exposure to this exciting space.

They’re all looking for additional Backend Engineers right now, we do a standard interview process across all our collectives and at the end we will find the best match for you based on your skills, experience, preferences and aligning with the business need! 

Our backend engineers have a variety of different backgrounds. As long as you enjoy learning new things, we’d love to talk to you. We do not ask for formal qualifications or degree requirements for any of our engineering roles.

How we work 💻

Locations & Flexible Working: 

Our main tech hub is in London, but our engineers live everywhere in the UK— from Brighton to the Western Isles. 

We value meeting in person but there’s no pressure to come into the office, even if you're nearby. We believe you'll do your best work if you are where you want to be. If you live outside of London and we ask you to come into the office, Monzo will support you with the costs. ✨

Our offices are naturally social, especially Tuesdays, Wednesdays and Thursdays, which happen to line up with our twice-weekly Monzo lunches & treat Thursdays 🍽️. Teams also schedule time together often for work and play – in or around the office, or online.

Set up a work schedule that delivers impact and fits your life:

At Monzo, we value connections, flexibility, and wellbeing. We keep our meetings during core hours to stay connected and believe in maintaining work/life balance. 

You’ll be empowered to manage your work in a way that suits you and your team, giving you the freedom for children drop-offs and pick-ups, walking your dog or adventurous cat, avoiding peak commuting times or gym slots, appointments, or supporting your family in an emergency. 🕒✨

Work the way that works for you with Monzo! 💼

You should apply if:

• you have strong experience working on the backend of a technology product
• you want to be involved in building a product that you (and the people you know) use every day
• you have a product mindset: you care about customer outcomes and you want to make data-informed decisions
• you’re comfortable working in a team that deals with ambiguity
• you’re interested in distributed systems and writing resilient software
• you have some experience with strongly-typed languages (Go, Java, C, Scala etc.).
• you think you’d enjoy the kind of work we’re doing

We're on the look out for L50 Engineers at the moment, you can read more in our Engineering Progression Framework - we will interview you across the whole frame work, so if you are not sure what level you are aiming for please chat to your recruiters! 

Not ticking every box? That’s totally okay! Studies show that women and people of colour might hesitate to apply unless they meet every single requirement. At Monzo, we’re dedicated to creating a diverse and welcoming team. If you’re passionate about this role and keen to learn and grow with us, we encourage you to apply— even if you don’t have everything thats listed just yet. Drop us your application, we’d love to hear from you!

What you’ll be working on: 

We hire very technically agnostic so whilst we use the below technologies we do not expect prior knowledge, you will be fully supported in our organised onboarding to get up to speed in the below: 

• Go to write our application code (there’s an excellent interactive Go tutorial here)
• Cassandra for most persistent data storage
• Kafka for our asynchronous message queue
• Kubernetes and Docker to schedule and run our services 
• Envoy Proxy for RPC
• AWS for most of our production infrastructure and GCP for most of our data infrastructure
• React for our public web apps and internal tools
• We also have physical datacenters with actual cables to connect to various third parties

The Interview Process:

Our interview process involves three main stages: 

1. Initial Call 
2. Take home task or pair coding exercise 
3. Final interview: including a system design and a behavioural interview 

Our average process takes around 4 weeks but we will always work around your availability. 

One of our engineers has written a detailed blog on their experience through this process, for extra details, hints and tips please see here.

What’s in it for you:

💰 £95,000 - £130,000 base salary + Incentive Awards tied to your performance

✈️We can help you relocate to the UK 

✅We can 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 

We're usually always hiring for Backend Engineers, so there's no closing date for this job.

#LI-Remote

#LI-HJ1

📍London / UK Remote | 💰 Staff Backend Engineer (L60) £115,000 - £150,000 +  Incentive Awards tied to your performance + Benefits | Technology - Engineering  

About our Engineering Teams:

We have around 300 engineers out of roughly 2,500 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.

We contribute to open source software as much as possible. Our blog is a good place to learn even more about what we do!

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)
• Cassandra for most persistent data storage
• Kafka for our asynchronous message queue
• Envoy Proxy for RPC
• Kubernetes and Docker to schedule and run our services 
• AWS for most of our infrastructure
• React for internal web dashboards
• We also have two physical datacenter sites with actual cables to connect to various third parties

Your day-to-day   

This role is all about collaborating across disciplines to test hypotheses and make a difference to customers. As a product backend engineer you’ll work in a squad alongside 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 (a word we use to describe self-governing business units of ~100 people). They are: Core Banking, Business Banking, Wealth, Borrowing, Growth, Payments, Platform, Fincrime, Security & Expansion. All of our collectives are doing innovative work, many of which have machine learning and AI at the forefront- from fighting financial crime to building smarter financial tools - and you may have the opportunity to join a collective that gives you direct exposure to this exciting space.

Our backend engineers have a variety of different backgrounds. As long as you enjoy learning new things, we’d love to talk to you. We do not ask for formal qualifications or degree requirements for any of our engineering roles.

How we work 💻

Locations & Flexible Working: 

Our main tech hub is in London, but our engineers live everywhere in the UK— from Brighton to the Western Isles. 

We value meeting in person but there’s no pressure to come into the office, even if you're nearby. We believe you'll do your best work if you are where you want to be. If you live outside of London and we ask you to come into the office, Monzo will support you with the costs. ✨

Our offices are naturally social, especially Tuesdays, Wednesdays and Thursdays, which happen to line up with our twice-weekly Monzo lunches & treat Thursdays 🍽️. Teams also schedule time together often for work and play – in or around the office, or online.

Set up a work schedule that delivers impact and fits your life:

At Monzo, we value connections, flexibility, and wellbeing. We keep our meetings during core hours to stay connected and believe in maintaining work/life balance. 

You’ll be empowered to manage your work in a way that suits you and your team, giving you the freedom for children drop-offs and pick-ups, walking your dog or adventurous cat, avoiding peak commuting times or gym slots, appointments, or supporting your family in an emergency. 🕒✨

Work the way that works for you with Monzo! 💼

You should apply if:

• you have strong experience working on the backend of a technology product
• you want to be involved in building a product that you (and the people you know) use every day
• you have a product mindset: you care about customer outcomes and you want to make data-informed decisions
• you’re comfortable working in a team that deals with ambiguity
• you’re interested in distributed systems and writing resilient software
• you have some experience with strongly-typed languages (Go, Java, C, Scala etc.).
• you think you’d enjoy the kind of work we’re doing

We're on the look out for L60 Engineers at the moment, you can read more in our Engineering Progression Framework we are also hiring on L40 & L50, our interview process will determine your levelling. 

The Interview Process:

Our interview process involves three main stages: 

1. Initial Call 
2. Take home task or pair coding exercise 
3. Final interview including a system design and a behavioural interview 

Our average process takes around 2-3 weeks but we will always work around your availability. 

One of our engineers has written a detailed blog on their experience through this process, for extra details, hints and tips please see here.

What’s in it for you:

💰 £115,000 - £150,000 base salary ➕ + Incentive Awards tied to your performance 

✈️We can help you relocate to the UK 

✅ We can sponsor visas.

📍This role can be based in our London office or remotely across 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 

We're usually always hiring for Backend Engineers, so there's no closing date for this job.

#LI-Remote

#LI-HJ1