📍 London/Cardiff/UK Remote | 💰£106,000 - £140,000 + Incentive Awards tied to your performance + Benefits  ✨

Our Fincrime team⭐

We’re looking for a brilliant Financial Crime Business Banking Senior Manager to drive forward our strategy for Monzo’s Business Bank. You’ll manage a fantastic group of FinCrime Analysts working in cross-functional teams to build and iterate controls, maximising financial crime prevention while delivering best in class customer experience. 

We need someone who really understands the Financial Crime regulatory framework, products and crime typologies for Business Banking, and has expert knowledge in how to develop controls to ensure Monzo remains compliant and can most effectively detect and prevent all types of Financial Crime. You’ll be an exceptional stakeholder manager, bringing others along on a journey to deliver huge impact. You’ll be an incredible people manager who cares deeply about people development and coaching. You’ll thrive on delivering through others and will pour effort into your people to get the best possible results.

You should know that we fight Financial Crime a little differently at Monzo. Your team will work with dedicated Financial Crime engineers, data scientists and machine learning experts, which helps us to spot, assess and prevent crime quickly. We choose not to split out different areas of crime, either. Instead we tackle all Financial Crime together as one team. That includes AML, fraud, sanctions breaches, terrorist financing, bribery and corruption and tax evasion. 

🔑 You’ll play a key role by...

• Managing a team of specialist Fincrime risk owners to implement our fincrime strategy across the Business Bank as it develops new products (including Cash Deposits, Acquiring and Expense Cards) and expands to new markets in the European Union
• Building, developing and leading high impact teams, identifying opportunities for attaining and growing skills
• Owning the strategy for building financial crime prevention for Monzo’s Business Bank
• Developing strategic relationships with Fincrime and Fraud experts, Business product owners and Senior Execs to provide expert Fincrime knowledge and help define business requirements
• Suggesting, developing, implementing and monitoring industry leading fincrime detection capabilities alongside data scientists, machine learning experts, product management and engineers across multiple teams
• Providing expert knowledge to support the development of Fincrime systems to effectively manage Business Banking risks in multiple jurisdictions
• Building a close relationship with our Fincrime operations teams, ensuring sufficient communication and knowledge sharing on risks
• Defining and interpreting key measures and metrics on the performance of key systems and reporting this to relevant committees on an ongoing basis
• Identifying the highest priority issues or problem areas and working with other members of the Fincrime Team to drive forward solutions.

🤩 We’d love to hear from you if…

• You’re a brilliant people manager who invests time, care and attention to ensure skills development and best in class delivery
• You have significant knowledge of how to manage Financial Crime and Fraud risks in business and commercial banking
• You have been involved in the implementation of controls for Business-specific products and features including Merchant Acquiring, Cash Deposits and Borrowing
• You have worked with mature Fincrime systems to effectively manage risks across different products in different locations across the European Union
• You’ve got experience working closely with product managers, engineers, data scientists and identifying operational requirements
• You have experience of leading a wide range of Fincrime professionals and technical experts
• You are passionate about Fincrime, Monzo and putting customers first
• You enjoy working efficiently in a fast-paced, high-volume environment and thrive when there’s ambiguity
• You're great at explaining processes and complex technical requirements to people
• You’re keen to get stuck in and make things happen, without waiting for someone else or always needing to delegate
• You’re comfortable working with data and using it to come up with recommendations

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 that's listed just yet. Drop us your application, we’d love to hear from you!

🙌 What’s in it for you

💰 £106,000 - £140,000 ➕Incentive Awards tied to your performance.

📍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. 

➕ Plus lots more! Read our full list of benefits.

🌈 The application journey has 3 key steps

• 30 min call with the recruiter
• 30 min hiring manager call
• 2 hours of technical and behavioural interviews
• 30 min final call

This process should take around 4-5  weeks - your schedule is really important to us, so we promise to be as flexible as possible! 

We have some guidelines on using Artificial Intelligence (AI) to ace an application and interview at Monzo. You can read them here.

We’ll only close this role once we have enough applications for the next stage. Please submit your application as soon as possible to make sure you don’t miss out. 

#LI-REMOTE #LI-OS1

London/UK Remote | 💰£59,500 - £70,000 (depending on experience) + Incentive Awards tied to your performance + Benefits  ✨

Our Model Oversight team⭐

The second line of defence Model Oversight team (that’s us!) provides support to our colleagues in Borrowing, Fincrime & Fraud, Operations and Finance to help Monzo grow safely. We’re looking for someone (maybe you?) to help ensure the Fincrime/Fraud models we use are not only good for Monzo but what's best for our customers.

🔑You’ll play a key role by...

• Perform independent model validations of FinCrime/Fraud models using proportionate modelling techniques depending on the level of complexity applied.
• Write clear and impactful model validation reports and present the findings in relevant committees. 
• Review of any FinCrime/Fraud model changes and provide recommendations to first line teams to ensure the models remain fit for purpose. 
• Build relationships with first line of defence Fincrime/Fraud modelling teams and wider risk teams to support the embedding of the model risk framework (e.g.  good maintenance of the model inventory and adhering to issue management processes) and an understanding of model validation practices to help Monzo grow safely. 
• Support team lead in reviewing ongoing model performance monitoring to ensure the  FinCrime/Fraud models are performing within risk thresholds and providing support to the  FinCrime/Fraud model development team when further action is required.
• Supporting the broader Model Oversight team with model validation activity in other disciplines (Financial, Operational and Credit) to manage peak demand and utilising areas of specific knowledge.
• Research and learn latest modelling and validation techniques
• Support the effective operation of the Model Risk Oversight Committee as a regular attendee, contributing to the group discussion to improve model risk management.
• Support the promotion and embedding of a strong risk culture, making risk meaningful and relevant to everyone at Monzo. You will share best practice that is easy for everyone to understand.

🤩 We’d love to hear from you if… 

• You are highly motivated and energised by the idea of bringing positive impact to our customers and Monzo
• You are self-motivated and thrive in a fast-paced environment
• You have great attention to detail while keeping an eye on the big picture
• You are a great communicator, able to articulate complex problems
• You can provide effective challenge whilst building strong, respectful relationships
• You are keen to grow your knowledge in both business and technology

And, from a technical and knowledge perspective, you should have:

• Experience in developing and/or validating any of Financial Crime, Fraud, Credit, Interest Rate, Liquidity, Regulatory capital, Stress testing and/or forecasting models

• In-depth knowledge of statistical techniques for management of risks
• Experience of managing a modelling project through its full lifecycle
• Strong technical skills such as SQL or Python
• Working knowledge of machine learning models: gradient boosted trees, etc
• If possible, some understanding of some of the following:
• Customer Risk assessment controls at point of Current Account application
• Transaction Monitoring controls
• Financial Crime and Fraud Typologies
• Experience in transaction driven business or similar industry
  
  

  The Interview Process:

  Our interview process involves three main stages: 

  1. Recruiter Call (30mins)
  2. Initial Call (30 mins)
  3. Final stage x3 a take home task, role specific interview and a behavioural interview

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

  🙌What’s in it for you

  💰£59,500 to £70,000 (depending on experience) + Incentive Awards tied to your performance + benefits

  📍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.

  ➕ Plus lots more! Read our full list of benefits.

  #LI-TK1  #LI-Remote

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day.

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

With the growth of our iOS app, being the #18 productivity app in the App Store category and also our recent recognition as Apple's 2025 Design Award for inclusivity, we find the need for a Senior iOS Engineer to help us support the new user base as well as work on new and exciting projects to push our missing forward.   

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. 

Our interview process involves several technical interviews and we aim to complete them within 1 week. 

What You’ll Do

• Opportunity to lead key engineering and product decisions
• Actively shipping production code for the Speechify iOS app
• Work within a dedicated product team
• Participate in product discussions to shape the product roadmap
• Maintain and enhance the existing complex app architecture

An Ideal Candidate Should Have

• Experience. You've worked on products that scaled to a large user base
• Track record. You have worked on various products from inception to decent traction. You have been responsible for engineering the product
• Customer obsession. We expect every team member whose responsibilities directly impact customers to be constantly obsessed about providing the best possible experience
• Product thinking. You make thoughtful decisions about the evolution of your product and support internal teams and designers into taking the right direction
• Speed. You work quickly to generate ideas and know how to decide which things can ship now and what things need time
• Focus. We’re a high-growth startup with a busy, remote team. You know how and when to engage or be heads down
• Technical skills. Swift, SwiftUI

Technical Requirements:

• Swift Programming Language
• SwiftUI experience
• Experience in Multithreading Programming
• Working with CI/CD infrastructure
• Experience with Fastlane
• SOLID principles, the ability to write every single class according to SOLID
• Experience with Git and understanding of different Git strategies

What We offer:

• A fast-growing environment where you can help shape the company and product
• An entrepreneurial crew that supports risk, intuition, and hustle
• The opportunity to make a big impact in a transformative industry
• A competitive salary, a collegiate atmosphere, and a commitment to building a great asynchronous culture
• Work on a product that millions of people use and where daily feedback includes users sharing that they cried when they first found the product because it was so impactful on their lives
• Support people with learning differences like Dyslexia, ADD, Low Vision, Concussions, Autism, and Second Language Learners, and give reading superpowers to professionals all over the world
• Work in one of the fastest growing sectors of tech: Intersection of Artificial Intelligence and Audio

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace.

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Required:

• 3+ in Windows desktop application development using Windows App SDK, WinUI (or similar), C#, XAML — and ideally additional experience with native Windows code (C++, Win32/WinRT/COM).
• Deep understanding of Windows application architecture, including interop between managed code (.NET) and native code.
• Proven track record of designing, building, and shipping production-quality desktop applications, with an emphasis on reliability, performance, scalability, and maintainability.
• Strong experience with accessibility APIs on Windows (e.g. Microsoft UI Automation or similar), and a dedication to building accessible and inclusive software.
• Excellent software engineering fundamentals: OOP, design patterns, data structures, algorithms, memory management, multi-threading or asynchronous programming (where relevant).
• Experience leading technical design, mentoring other engineers, conducting code reviews, and making architecture-level decisions.
• Strong communication skills; ability to articulate tradeoffs, collaborate with cross-functional teams, and drive consensus.
• A user-centric mindset: focus on building polished, intuitive, and accessible experiences for end users.

Preferred / Bonus:

• Experience with writing automated tests for UI — unit tests, integration tests, UI automation tests; familiarity with relevant testing frameworks.
• Experience with performance optimization for desktop apps (memory usage, startup time, rendering performance, high-DPI support, responsiveness under load).
• Experience with localization/globalization, right-to-left UI support, internationalization, accessibility for multiple regions.
• Familiarity with telemetry, analytics, crash reporting, logging, and error monitoring in desktop applications.
• Previous experience in shaping CI/CD workflows, release pipelines, and deployment strategies for desktop applications.
• Demonstrated ability to take ownership of feature areas or modules and drive them long-term, including maintenance, refactoring, and technical debt management.

What we offer

• A high-impact role: you will define architecture, shape the future of our Windows product, and directly influence what millions of users see and experience.
• A collaborative, flat-structure engineering culture — you are not just a coder, but a builder and a decision-maker.
• Opportunities to lead — mentor others, steer technical direction, and grow into broader technical leadership (e.g. Tech Lead, Architect).
• Flexibility, autonomy, and responsibility: you define how to solve problems, own features end-to-end, and contribute to long-term product vision.
• A purpose-driven mission: building software that’s reliable, accessible, and user-centered — making a real difference for people.                  

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 
Refer them! 

Speechify is committed to a diverse and inclusive workplace. 
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

📍Cardiff, London or Remote (UK)  | 💰 £76,000 to £95,000 + Incentive Awards tied to your performance + Benefits | Data Team, Borrowing 

About our Financial Health Team:

We are scaling up our Data and Credit team to support the rapid growth and evolution of our portfolio. We are looking for a Senior Data Analyst to join our Financial Health squad who are focused on supporting customers in financial difficulty. 

As a Senior Data Analyst, you’ll be working in collaboration with Product, Data Science and Analytical Engineering peers on data-driven insights and initiatives. We’re looking for an experienced Senior Data Analyst with hands-on experience who can bring fresh thinking and new ways to inspire the team and our customers.

What you’ll be working on:

As a Senior Data Analyst you will partner with Product Managers, Engineers, and Data Scientists in an agile product environment. You’ll champion the use of data and bring ideas to life through a rigorous analytical approach. Your work will focus on improving the support we offer to customers in financial difficulty, ensure our operational processes are well controlled and we meet regulatory requirements.

At Monzo we believe there’s a better way to do banking - we care deeply about our customers, are innovative and execute quickly. 

Our mission is to revolutionise the way people manage their finances by putting them in control and promoting their financial wellbeing. Our Borrowing business is growing rapidly (both on our existing products, and with the planned launch of new products). We aim to create a genuine feel-good factor when it comes to personal credit, and are looking for driven, analytical and creative individuals to help us achieve this goal. 

Your day-to-day:

• Generate insights that can drive the direction of our Financial Health strategy through proactive analysis
• Bring data-driven rigour to our approach to product development and build a strategic understanding of the business while structuring complex projects to bring them to life
• Work and advise on Financial Health’s global expansion strategy
• Develop and maintain Looker dashboards, reports and metrics that assess business and customer outcomes within Financial Health
• Ensure accurate reporting to third parties and regulators
• Build and maintain controls to ensure our business processes are running as intended 
• Lead projects to improve the accuracy, efficiency and accessibility of our data

Locations & flexible working:

Our main tech hub is in London, but our data teams are based all over the UK — from Brighton to the Western Isles.

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.

Work the way that works for you at Monzo! 💼

Our technology stack:

Our Data team's mission is to Enable Monzo to Make Better Decisions, Faster

At the core of this mission sits our data platform. We're great believers in powerful, real-time analytics and empowerment of the wider business. Our engineers collect analytics events from their microservices, and upload these into our Data stack for analysis. We optimise for simplicity and re-usability – all our data lives in one place and is made available via our data warehouse in Google BigQuery.

We rely heavily on the following tools and technologies (note we do not expect applicants to have prior experience of all them):

• Google Cloud Platform for all of our analytics infrastructure
• dbt and BigQuery SQL for our data modelling and warehousing
• Python for data science
• Go to write our application code
• AWS for most of our backend infrastructure

You should apply if:

• What we’re doing here at Monzo excites you!
• You are passionate about using data to improve and inform business decisions
• You’re motivated by solving challenging problems, and communicating and collaborating closely with subject matter experts on those solutions
• You’re excited by the opportunity to work autonomously to impact the future of a fast growing, ever evolving business
• You’re as comfortable getting hands-on as taking a step back and thinking strategically
• You are experienced with using a variety of Data Analysis tools. You know when to pick the right tool, and can help others do the same
• You have a solid grounding in SQL 
• Experience in Financial Health is a plus, but not required.

We're on the look out for L40 Senior Data Analysts at the moment, you can read more in our Data Progression Framework

The interview process:

Our interview process involves 4 main stages. We promise not to ask you any brain teasers or trick questions!

• 30 minute recruiter call 
• 45 minute initial call 
• Take home task
• 2 x 1-hour video calls, including a technical case study

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

What’s in it for you:

💰 £76,000 to £95,000 + Incentive Awards tied to your performance + 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-LG1  #LI-Remote

📍Cardiff, London or Remote (UK)  | 💰 £76,000 to £95,000 + Incentive Awards tied to your performance + Benefits | Data Team, Borrowing 

About our Financial Health Team:

We are scaling up our Data and Credit team to support the rapid growth and evolution of our portfolio. We are looking for a Senior Data Analyst to join our Financial Health squad who are focused on supporting customers in financial difficulty. 

As a Senior Data Analyst, you’ll be working in collaboration with Product, Data Science and Analytical Engineering peers on data-driven insights and initiatives. We’re looking for an experienced Senior Data Analyst with hands-on experience who can bring fresh thinking and new ways to inspire the team and our customers.

What you’ll be working on:

As a Senior Data Analyst you will partner with Product Managers, Engineers, and Data Scientists in an agile product environment. You’ll champion the use of data and bring ideas to life through a rigorous analytical approach. Your work will focus on improving the support we offer to customers in financial difficulty, ensure our operational processes are well controlled and we meet regulatory requirements.

At Monzo we believe there’s a better way to do banking - we care deeply about our customers, are innovative and execute quickly. 

Our mission is to revolutionise the way people manage their finances by putting them in control and promoting their financial wellbeing. Our Borrowing business is growing rapidly (both on our existing products, and with the planned launch of new products). We aim to create a genuine feel-good factor when it comes to personal credit, and are looking for driven, analytical and creative individuals to help us achieve this goal. 

Your day-to-day:

• Generate insights that can drive the direction of our Financial Health strategy through proactive analysis
• Bring data-driven rigour to our approach to product development and build a strategic understanding of the business while structuring complex projects to bring them to life
• Work and advise on Financial Health’s global expansion strategy
• Develop and maintain Looker dashboards, reports and metrics that assess business and customer outcomes within Financial Health
• Ensure accurate reporting to third parties and regulators
• Build and maintain controls to ensure our business processes are running as intended 
• Lead projects to improve the accuracy, efficiency and accessibility of our data

Locations & flexible working 

Our main tech hub is in London, but our data teams are based all over the UK — from Brighton to the Western Isles.

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.

Work the way that works for you at Monzo! 💼

Our technology stack:

Our Data team's mission is to Enable Monzo to Make Better Decisions, Faster

At the core of this mission sits our data platform. We're great believers in powerful, real-time analytics and empowerment of the wider business. Our engineers collect analytics events from their microservices, and upload these into our Data stack for analysis. We optimise for simplicity and re-usability – all our data lives in one place and is made available via our data warehouse in Google BigQuery.

We rely heavily on the following tools and technologies (note we do not expect applicants to have prior experience of all them):

• Google Cloud Platform for all of our analytics infrastructure
• dbt and BigQuery SQL for our data modelling and warehousing
• Python for data science
• Go to write our application code
• AWS for most of our backend infrastructure

You should apply if:

• What we’re doing here at Monzo excites you!
• You are passionate about using data to improve and inform business decisions
• You’re motivated by solving challenging problems, and communicating and collaborating closely with subject matter experts on those solutions
• You’re excited by the opportunity to work autonomously to impact the future of a fast growing, ever evolving business
• You’re as comfortable getting hands-on as taking a step back and thinking strategically
• You are experienced with using a variety of Data Analysis tools. You know when to pick the right tool, and can help others do the same
• You have a solid grounding in SQL 
• Experience in Financial Health is a plus, but not required.

We're on the look out for L40 Senior Data Analysts at the moment, you can read more in our Data Progression Framework

The Interview Process:

Our interview process involves 4 main stages. We promise not to ask you any brain teasers or trick questions!

• 30 minute recruiter call 
• 45 minute initial call 
• Take home task
• 2 x 1-hour video calls, including a technical case study

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

What’s in it for you:

💰 £76,000 to £95,000 + Incentive Awards tied to your performance + 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-LG1  #LI-Remote

📍Cardiff, London or Remote (UK)  | 💰 £76,500 to £95,000 + Incentive Awards tied to your performance + Benefits | Data Team, Borrowing 

Our team

Our Borrowing business is growing rapidly across both existing products and the planned launch of new initiatives. Flex is an innovative credit card that gives our customers unprecedented visibility and control over their spending, offering features like flexible instalment plans and instant app management. If you are passionate about using data and agile technology to solve real-world financial problems and create a genuine feel-good factor around borrowing, this is your chance to contribute to a product that is defining the future of flexible finance.

This is a high-impact, cross-functional environment where you’ll partner closely with Product, Engineering, Data Science, Finance, and Risk & Control to deliver sustainable, profitable, and responsible growth across our credit card offerings.

You’ll operate at the intersection of credit risk, commercial performance, and customer experience, ensuring Monzo’s credit card products remain sustainable, competitive, and customer-focused as they scale.

Your day-to-day

As a Senior Credit Analyst, you’ll play a critical role in shaping Monzo’s credit strategy across credit card products. Your responsibilities will include:

• Design and refine credit underwriting and limit strategies to optimise risk and growth
• Analyse portfolio performance (arrears, utilisation, revenue, losses, vintage curves) and identify actionable insights
• Build and interpret NPV and profitability models to inform strategic decisions
• Develop segmentation frameworks to identify revenue and risk pressure points
• Lead analytical deep-dives into portfolio trends and emerging risks
• Partner with Product and Engineering teams to design and test new features and strategy changes
• Evaluate the commercial and customer impact of pricing, eligibility, and limit decisions
• Present clear, structured recommendations to senior stakeholders
• Support regulatory and governance requirements, ensuring strategies align with policy and risk appetite

Locations & flexible working: 

Our main tech hub is in London, but our data teams are based all over the UK — from Brighton to the Western Isles.

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.

Work the way that works for you at Monzo! 💼

You should apply if

You have:

• Experience in unsecured lending, ideally within credit cards
• A strong understanding of credit card economics (APR, utilisation, interchange, revolving behaviour, cost of funds, losses). Experience of modelling rewards cards is a plus.
• Experience building or influencing credit strategies (e.g. underwriting, limit management, pricing)
• Strong analytical and data capabilities, backed up by technical coding skills. SQL is a must-have, Python and Looker experience is a plus
• Experience working with NPV models, profitability analysis, and portfolio forecasting
• Confidence communicating complex analysis clearly to non-technical stakeholders
• Experience collaborating cross-functionally in a fast-paced environment
• An interest in balancing risk, growth, and customer outcomes

We're on the look out for L40 Senior Credit Analysts at the moment, you can read more in our Data Progression Framework

What’s in it for you

💰£76,500 to £95,000 + Incentive Awards tied to your performance + 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

Interview process

Our typical process is structured as:

1. Recruiter call
2. Initial hiring manager call
3. Take-home task
4. Final interviews - (3x) including case study, role-specific, and behavioural interviews

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

#LI-LG1  #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, 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

Job Title: Social Worker - Children’s Safeguarding Team - Cardiff 
Location: Cardiff
Pay Rate: £ 38.43/per hour

Liquid Personnel is seeking an experienced children social worker to join their esteemed client's long-term Children’s Safeguarding team. We are looking for a dedicated professional with a passion for working with children and families, as well as expertise in identifying and managing child protection concerns and addressing ongoing issues.

Role Overview: This challenging and rewarding role involves working with complex cases, including:

• High-end Children in Need (CIN) and child protection cases.
• Managing cases that may progress to care proceedings, requiring a solid understanding of court work and the statutory requirements for children who are looked after.

Key Responsibilities:

• Developing and implementing measurable, timely interventions in Child Protection/CIN plans.
• Identifying when further intervention is required to protect children within your caseload and taking appropriate action.
• Championing practice improvement, actively participating in process, procedure, policy, and strategy development.
• Managing and assessing risk, leveraging technical authority and deep expertise in social care practice.
• Supporting and mentoring others while maintaining credibility and hands-on experience in complex cases.

Who We’re Looking For:

The ideal candidate will:

• Be registered with Social Work Wales.
• Possess significant experience in progressing Child Protection and CIN plans.
• Demonstrate expertise in assessing and managing risk in complex cases.
• Be organized, resilient, and adept at balancing multiple priorities while maintaining a focus on the best outcomes for children.
• Ideally, be a driver with access to a car and eligible to reside and work in the UK.

Why Liquid Personnel? 

• New ‘Faster Pay’ service getting you paid more quickly
• Twice weekly payroll
• Free DBS and compliance service
• Access to exclusive roles that aren’t available from other agencies
• Free access to Liquid’s exclusive social work training and CPD portal
• Your own dedicated consultant with extensive social work knowledge
• Access to a wide selection of social work positions across the UK
• “Refer a Friend” bonus – get £500 for each social worker you refer who we successfully place*
• “Find your own job” bonus – get £250 for bringing your own position to us *

Liquid Personnel is an equal opportunities employer. Liquid Personnel Ltd is acting as an Employment Business in relation to this vacancy. * Terms and conditions apply to our bonus schemes.

Reasonable Adjustments:

If you consider yourself to have a disability or require any reasonable adjustment during the recruitment process or within the workplace, please highlight this at the earliest opportunity by contacting our team. With this information, we will provide appropriate support to you throughout the process and into your work placement.

We are unable to support or accept applications from candidates who are residents within the Red or Amber list of the Code of practice for the international recruitment of health and social care personnel in England, based on the World Health Organisation (WHO) Workforce Support and Safeguard List.

BH - 189919
GH - 30408

📍Cardiff, London or Remote (UK)  | 💰 £76,500 to £95,000 + Incentive Awards tied to your performance + Benefits | Data Team, Borrowing 

Our team

Our Borrowing Collective is building innovative, responsible lending products that give customers greater transparency, flexibility, and control over their money. You’ll be working on Monzo’s credit card products, helping to design, optimise, and grow our lending strategies.

This is a high-impact, cross-functional environment where you’ll partner closely with Product, Engineering, Data Science, Finance, and Risk & Control to deliver sustainable, profitable, and responsible growth across our credit card offerings.

You’ll operate at the intersection of credit risk, commercial performance, and customer experience, ensuring Monzo’s credit card products remain sustainable, competitive, and customer-focused as they scale.

Your day-to-day

As a Senior Credit Analyst, you’ll play a critical role in shaping Monzo’s credit strategy across credit card products. Your responsibilities will include:

• Design and refine credit underwriting and limit strategies to optimise risk and growth
• Analyse portfolio performance (arrears, utilisation, revenue, losses, vintage curves) and identify actionable insights
• Build and interpret NPV and profitability models to inform strategic decisions
• Develop segmentation frameworks to identify revenue and risk pressure points
• Lead analytical deep-dives into portfolio trends and emerging risks
• Partner with Product and Engineering teams to design and test new features and strategy changes
• Evaluate the commercial and customer impact of pricing, eligibility, and limit decisions
• Present clear, structured recommendations to senior stakeholders
• Support regulatory and governance requirements, ensuring strategies align with policy and risk appetite

Locations & flexible working 

Our main tech hub is in London, but our data teams are based all over the UK — from Brighton to the Western Isles.

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.

Work the way that works for you at Monzo! 💼

You should apply if

You have:

• Experience in unsecured lending, ideally within credit cards
• A strong understanding of credit card economics (APR, utilisation, interchange, revolving behaviour, cost of funds, losses). Experience of modelling rewards cards is a plus.
• Experience building or influencing credit strategies (e.g. underwriting, limit management, pricing)
• Strong analytical and data capabilities, backed up by technical coding skills. SQL is a must-have, Python and Looker experience is a plus
• Experience working with NPV models, profitability analysis, and portfolio forecasting
• Confidence communicating complex analysis clearly to non-technical stakeholders
• Experience collaborating cross-functionally in a fast-paced environment
• An interest in balancing risk, growth, and customer outcomes

Bonus points if you have:

• Experience working in a regulated UK lending environment
• Exposure to IFRS9, stress testing, or capital modelling
• Experience in experimentation or strategy testing frameworks
• Experience working on business lending products

We're on the look out for L40 Senior Credit Analysts at the moment, you can read more in our Data Progression Framework

Interview process

Our typical process is structured as:

1. Recruiter call
2. Initial hiring manager call
3. Take-home task
4. Final interviews - (3x) including case study, role-specific, and behavioural interviews

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

What’s in it for you

💰£76,500 to £95,000 + Incentive Awards tied to your performance + 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-LG1  #LI-Remote

📍 Barcelona, Spain | 💰€93,500 - €126,500 + Benefits | Hear from the team ✨

⭐Our Borrowing 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. 

Data is crucial to the success of this mission and Borrowing Analytics Engineers are at the core of how we build, scale and re-architect our Borrowing Data Warehouse to enable Monzo to make better decisions, faster, and help serve Monzo’s customers better. 

⭐ Our Analytics Engineering team

Our Analytics Engineering discipline works in the intersection between data, engineering and our collectives - Money, Borrowing, Operations and Financial Crime and beyond. 

The AE teams are responsible for building downstream data models from backend services with the desire to make our Data Warehouse a genuine competitive advantage for Monzo. We want a discipline capable of building a reliable and scalable Data Warehouse to support decision making in a cost effective and performant manner. 

Managers within Data have two primary responsibilities; people and technical products. Your focus will be on helping engineers with their personal and professional development, listening and guiding them through hard times and celebrating their successes. You will also be leading and participating directly in technical initiatives and helping Monzo shape its Data organisation, ensuring the team focuses on valuable work, shipping things with a level of care and attention to detail.

There will be a strong focus on delivering best practice across all of our data discipline and helping bring a new level of maturity around Data Governance principles, working in collaboration with others to deliver this.

🔑 You’ll play a key role by...

Working in a multi-disciplinary team, you will:

• Be a hands on leader in building a discipline of exceptional analytics working to make Data at Monzo the gold standard within the industry.
• Nurture between 6  and 7 engineers, supporting, coaching and developing high performing engineers through regular 1:1s, continuous feedback and relationships with others.
• Aid prioritisation of initiatives and projects, working closely with other leads for each of our Monzo collectives.
• Be hands on through participating in the review cycle, architecture and design leadership and development of your own changes to the pipelines
• Be part of the hiring team within Analytics Engineering
• Work closely with other leads to deliver a scalable, consistent approach to governance and best practices.
• Drive effective project management of central Analytics Engineering projects, ensuring they’re well scoped and delivered to deadlines.
• Establish yourself as a trusted partner to various collectives and the leadership team, with the capacity for getting things done, be it either hands-on or by leading others.
• We all own and support the pipelines we contribute to, and on call support out of hours will be expected from time to time as part of this role

🤩 We’d love to hear from you if…

You have experience managing or mentoring the performance and development of high-performing engineers.

• You have strong experience in data warehousing architecture at scale
• You have experience and a passion for leading data warehousing, data visualisation, big data or ETL projects as an analyst, developer, designer or architect.
• You know what it takes to hire great engineers within the data space.
• You’re equally comfortable working hands on and leading a team.

Nice To Haves:

• Any experience working within a finance or banking environment
• Experience working in a highly regulated environment (e.g. finance, insurance, gaming, food, health care).
• Experience with any of our stack of dbt, BigQuery and Looker

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’s in it for you

💰Base salary range for this role is dependent on experience + benefits 

📍Barcelona, Spain

⏰ 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. 

➕ Plus lots more! Read our full list of benefits.

🌈 The application journey has 3 key steps

Recruiter Screening Call

Initial Call

Final Loop (3 sessions - case study, collaboration and people leadership)

This process should take around 2-3 weeks - your schedule is really important to us, so we promise to be as flexible as possible! 

We have some guidelines on using Artificial Intelligence (AI) to ace an application and interview at Monzo. You can read them here.

For more insight into the AE team at Monzo, check out our podcast with John Azzopardi one of our Senior Leaders in AE 

#LI-AS #LI-Remote

📍London  | 💰 £78,000 to £95,000 + Incentive Awards tied to your performance + Benefits | Data Team, Borrowing 

Our Capital, Impairments & Forecasting Team

Our Capital, Impairments & Forecasting team (CIF) sits at the intersection of our Borrowing and Finance collectives, responsible for developing, executing and managing the models used to calculate IFRS 9 ECL, and credit risk capital through the annual ICAAP. We work alongside our first line credit teams who design the products, decide who to lend to, set underwriting policy, identify customers who need help, manage the portfolio and report and measure credit risk.

Within CIF, we are scaling up our Forecasting modelling and execution team to support the rapid growth and evolution of our portfolio. This role is pivotal for the team as the successful candidate will help develop and further enhance our suite of forecasting and stress testing models across both well established and emerging products.  Additionally the successful individual will have a key role in executing these models across high profile budgeting & stress-test exercises and building up our toolkit to quantify the impact of various strategic decisions for senior management.

Strong data and analytical skills are a must, as is experience in credit risk modelling.  Prior experience developing credit risk forecasting models is desirable, but relevant model development / validation experience in IRB modelling, IFRS9 or scorecard models will also be considered. Experience as a ‘model user’ of forecasting models in the context of budgeting or stress-testing would be helpful but is not required.

We rely heavily on the following tools and technologies (note we do not expect applicants to have prior experience of all them):

• Google Cloud Platform for all of our analytics infrastructure
• dbt and BigQuery SQL for our data modelling and warehousing
• Python for data science and predictive modelling, model implementation and data visualisation (via streamlit)
• Github for version control

Your day-to-day responsibilities:   

• Assist with continuous improvement of forecasting models via new developments or recalibrations.
• Construction of grounded overlays, where required, to quantify effects of future strategy changes or address known model limitations
• Furthering the development and execution of forecast model monitoring to inform an effective prioritisation of model improvements
• Presenting forecast model results to senior management
• Close collaboration with portfolio strategy, model validation, finance and external audit teams

You should apply if:

• You have a background in forecast modelling or execution
• You have relevant experience in the development and implementation of credit models (e.g IFRS9 / Forecasting / IRB)
• You have strong analytical skills and a track record of using these to deliver technical projects
• You have a solid technical toolkit. SQL and Python are our desired coding languages but experience in SAS/R will be considered. A data visualisation tool (such as Streamlit or Looker) is a plus
• You can convey problems and solutions using clear and simple language, both written and verbal (see Monzo’s tone of voice guide). This is particularly important for communicating complex issues and priorities to non-experts
• You're impact driven and eager to have a real positive impact on the company, our products, our users and your team-mates
• You have a self-starter mindset; you proactively identify issues and opportunities and tackle them without being told to do so
• You're a team player whom your colleagues can rely on

The Interview Process:

Our interview process involves 4 main stages: 

1. Initial call with a member of the Forecasting team
2. Technical modelling interview 
3. Values and collaboration behavioural interview
4. A live case study problem solving interview

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

What’s in it for you:

💰 £78,000 to £95,000 +  Incentive Awards tied to your performance + Benefits

📍 London (one to two days a week)

✈️ We can help you relocate to the UK

✅ We can sponsor visas

⏰ 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-LG1  #LI-Remote

 📍London  | 💰 £58,000 to £78,000 +  Incentive Awards tied to your performance + Benefits | Data Team, Borrowing 

About our Capital, Impairments & Forecasting Team

Our Capital, Impairments & Forecasting team sits at the intersection of our Borrowing and Finance collectives, responsible for developing, executing and managing the models used to calculate IFRS 9 ECL, and credit risk capital through the annual ICAAP. We work alongside our first line credit teams who design the products, decide who to lend to, set underwriting policy, identify customers who need help, manage the portfolio and report and measure credit risk.

We are scaling up our Impairments modelling team to support the rapid growth and evolution of our portfolio. This role is pivotal for the team as the successful candidate will help develop and further enhance our suite of IFRS 9 models (PD, LGD, EAD, macroeconomic models) across both well established and emerging products.  Additionally the successful individual will have oversight of model performance, construction of PMAs/model overlays where required, model implementation, and impairment analytics for senior management.

Strong data and analytical skills are a must, as is experience in credit risk modelling and IFRS 9 provision methodology.  Prior experience developing IFRS 9 models is desirable, but model development experience in IRB modelling, stress testing or scorecard models will also be considered.

We rely heavily on the following tools and technologies (note we do not expect applicants to have prior experience of all them):

• Google Cloud Platform for all of our analytics infrastructure
• dbt and BigQuery SQL for our data modelling and warehousing
• Python for data science and predictive modelling, and model implementation

Your day-to-day responsibilities:   

• Assist with end-to-end development and maintenance of IFRS 9 models (PD, EAD, LGD)
• Construction of post-model adjustments / model overlays as and when required
• Implementation of new models 
• Development and maintenance of economic-response models for scenario simulation and impairment 
• Enhancement of model monitoring and month-end ECL reporting and analytics
• Presenting modelling results to 1LOD and 2LOD risk forums/committees 
• Close collaboration with portfolio strategy, model validation, finance and external audit teams

How we work:

Our main tech hub is in London, but our data teams are based all over the UK — from Brighton to the Western Isles.

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.

Work the way that works for you at Monzo! 💼

You should apply if:

• You have a background in IFRS 9 impairments
• You have end to end experience in the development and implementation of credit models (e.g PD, LGD, EAD). 
• You have experience in monitoring ECLs and conducting driver analyses 
• You have strong analytical skills and a track record of using these to deliver technical projects
• You have a solid technical toolkit. SQL and either Python or R is a must-have, a data visualisation tool (such as Tableau, PowerBI, Looker) is a plus
• You can convey problems and solutions using clear and simple language, both written and verbal (see Monzo’s tone of voice guide). This is particularly important for communicating complex issues and priorities to non-experts
• You're impact driven and eager to have a real positive impact on the company, our products, our users and your team-mates
• You have a self-starter mindset; you proactively identify issues and opportunities and tackle them without being told to do so
• You're a team player whom your colleagues can rely on

The Interview Process:

Our interview process involves 4 main stages: 

1. Initial call with a member of the impairments team
2. Technical IFRS 9 interview 
3. Values and collaboration behavioural interview
4. A live case study problem solving interview

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

What’s in it for you:

💰 £58,000 to £78,000 +  Incentive Awards tied to your performance + Benefits

📍 London (one to two days a week)

✅ We can sponsor visas

⏰ 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 

📍London or Remote (UK)  | 💰 £58,000 to £78,000 + Incentive Awards tied to your performance + Benefits | Data Team, Borrowing 

Our team:

Our Borrowing collective is growing across Personal Loans and Financial Health. We’re building innovative, responsible lending products that give customers greater transparency, flexibility, and control over their money.

Personal Loans provides simple, transparent borrowing, while Financial Health focuses on sustainable growth and better customer outcomes.

As part of the team, you’ll develop and optimise unsecured credit risk and pricing strategies, partnering closely with Product, Engineering, and Data to build profitable portfolios and outstanding customer experiences.

If you’re excited by data-led decision-making, experimentation, and shaping the future of modern lending, we’d love to hear from you.

Your day-to-day:

• Working on initiatives to improve our credit underwriting, boost growth and/or manage portfolio risk
• Supporting the design and roll-out of new lending strategies by finding patterns in the data and translating these into insights
• Monitoring the performance of our existing strategies, and iterating to improve them
• Working alongside people from engineering, marketing, product, risk and control to design and deliver product changes
• Developing, maintaining and monitoring our credit models to assess net present value of new lending cohorts to drive strategic business decisions
• Building and maintaining the database tables and dashboards that provide insights and promote rapid, data-driven decisions
• Supporting the design and roll-out of new products and customer journeys
• Assessing how the lending portfolio of particular products will perform over time

How we work:

Our main tech hub is in London, but our data teams are based all over the UK — from Brighton to the Western Isles.

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.

Work the way that works for you at Monzo! 💼

You should apply if:

• You have experience in unsecured retail lending (e.g. personal loans, credit cards, overdrafts, buy now pay later etc.)
• You have an understanding of how the unsecured retail lending market works including the impact of pricing dynamics on portfolio performance
• You have an understanding of lending economics and have experience developing and deploying underwriting strategies
• You have strong analytical and data capabilities, backed up by technical coding skills. SQL is a must-have, Python and Looker experience is a plus.
• You have a working understanding of the regulations that apply to lending in the UK.
• You thrive in a fast-paced environment and are keen for the chance to improve our products and help ship changes to our customers
• You are a strong communicator, able to cut through complex problems and articulate decision points
• You have some experience in project management and coordination across teams
• You work well collaborating in a team with diverse skill-sets and personality types
• You are highly motivated and energised by the idea of bringing positive impact to our customers and Monzo

We're on the look out for Credit Analysts (L30) at the moment, you can read more in our Data Progression Framework

The interview process:

Our interview process involves 4 main stages:

1. Recruiter call
2. Initial call
3. Take home task
4. Final stage (x3 interviews) consisting of a case study, role specific interview and collaboration interview

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

What’s in it for you:

💰 £58,000 to £78,000 + Incentive Awards tied to your performance + Benefits 

✅ 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-LG1  #LI-Remote

📍London, Cardiff or Remote | 💰 £86,000 - £100,000  + Incentive Awards tied to your performance + Benefits | Hear from the team ✨

⭐Our Risk & Compliance team

At Monzo we do things differently: we truly care about providing a phenomenal experience for our customers. We believe there’s a better way to do banking, and we want to be the best possible (fully compliant!) bank without getting stuck in the old ways of doing things. 

We’re looking for a Senior Compliance Advisory Manager to join our second line of defence (2LoD) Compliance Team as part of our Risk and Compliance Collective.We’re looking for a pragmatic, collaborative and experienced senior compliance manager with deep knowledge of FCA rules and associated regulations, who is passionate about Monzo's mission to make money work for everyone.

This role will have day-to-day responsibility for advising on compliance matters associated with Monzo’s Borrowing Collective covering primarily Homeownership (mortgage credit broking) as well as supporting on our unsecured products (loans, overdrafts, Flex) reporting directly to Monzo’s Head of Compliance Advisory.

This role will partner directly with our Product teams to ensure we fulfil our Consumer Duty requirements, launch products safely and meet our regulatory compliance obligations. This will require experience of advising on FCA requirements as well as a grounding in the wider retail banking and payments landscape and requirements. 

🔑 You’ll play a key role by...

• Working proactively and closely with the Product teams in Borrowing to provide clear and accurate technical compliance advice across a number of areas (FCA Handbook primarily, though not exclusively, MCOBS, CONC, PRIN).
• Providing compliance advice and guidance on financial promotions, supporting both the Marketing and Financial Promotion teams.
• Building and maintaining proactive, effective and constructive relationships with fellow Compliance team members, supporting the Compliance Leadership and regularly liaising with first line Risk, Legal and Audit.
• Supporting the vision, strategy and direction of Conduct and Compliance Advisory, consistent with the CRO’s broader strategy for the Risk, Compliance and Financial Crime Collective.
• Promoting the culture and practice of compliance within Monzo through training, coaching and constructively challenging first line colleagues. 
• Challenging our policies and procedures to make sure that we’re providing great customer outcomes and meeting regulatory requirements.
• Collaborate with the wider Compliance team in creating and updating compliance policies and procedures to reflect current regulatory requirements.
• 2LoD support and oversight on Regulatory Breach and Incident Management.
• Exploring new ways to streamline, automate and enhance Monzo’s approach to compliance and conduct risk management.
• Delivering continuous improvement to the function and helping to create a Compliance ‘centre of excellence’.

This role requires strong communication & collaboration skills with a ‘ hands-on ’ approach, to ensure that regulations are fully understood, our products are ‘compliant by design’ and our customers' needs are being met.

🤩 We’d love to hear from you if…

• You have in-depth knowledge of Mortgage Conduct of Business (MCOB) rules and solid experience advising on regulatory requirements for mortgages broking including mortgage and protection advice.
• Have a strong understanding of Consumer Duty.
• CeMAP qualification not essential but could be advantageous.
• You have gained hands-on regulatory experience and practical understanding of relevant regulation having ideally spent time in house at a bank, and/or financial technology company advising on regulatory conduct compliance matters.
• You like to be where the action is and thrive in fast paced environments where you can take the lead and shape new products and initiatives by building strong, mutually respectful relationships.
• You are a strategic thinker, a strong communicator and a keen problem solver who knows how to assess risk and recommend solutions that balance business and risk perspectives.
• You have working knowledge of the role of the Risk and Compliance function within the 3 lines of defence model.
• You're self-motivated, highly organised and focused on executing well.
• You're able to work independently and with changing priorities.
• You’re able to build strong, mutually respectful relationships with diverse teams.
• You have a genuine interest in the role of Compliance and recognise the value of compliance being a competitive advantage in a business like Monzo.
• You have a passion for compliance and are excited about the future of banking and want to work with us to shape it.
  
  

  The Interview Process:

  Our interview process involves three main stages: 

  1. Recruiter Call (30mins)
  2. Initial Call (30 mins)
  3. Final stage (x3 interviews) consisting of a case study, role specific interview, and collaboration interview

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

  🙌What’s in it for you

  💰£86,000 to £100,000 + Incentive Awards tied to your performance ➕ benefits

  📍This role can be based in our London or Cardiff offices, 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.

  ➕ Plus lots more! Read our full list of benefits.

  #LI-TK1  #LI-Remote

📍London or Barcelona | UK remote | 💰 £95,000 to £130,000 + Incentive Awards tied to your performance + Benefits| Technology - Data  

About our Data Science Teams:

We're looking for a Lead Data Scientist excited to help build the bank of the future. You'll have the opportunity to super charge our user engagement in 2026 and help us to build a bank that customers truly love.

At Monzo, we're building a bank that is fair, transparent and a delight to use. We’re growing extremely fast and have over 11 million customers in the UK. We’ve built a product that people love and more than 80% of our growth comes from word of mouth and referrals.

Enable Monzo to Make Better Decisions, Faster

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. All our data lives in one place and is super easy to use. 90% of day-to-day data-driven decisions are covered by self-serve analytics through Looker which gives data scientists the head space to focus on more impactful business questions and analyses.

How we hire

We are excited to be expanding and are hiring for multiple roles across our Data Science teams! Whether your interests lie in Borrowing, Growth, Payments, Fincrime, Wealth, or Core, we are looking for talented individuals with a versatile skill set to contribute across our squads. While we allocate teams after the interview process, we aim to match your skills and aspirations with the most suitable role. Throughout the process, you will meet team members from across our Data Science collectives, who will guide you through the opportunities available. Join us and be part of shaping our future!

What you’ll be working on:

• Lead the data strategy and continue to evolve Monzo for our customers to make it magically simple to manage money day-to-day
• Develop and execute best practices for experimentation enabling our team to make data informed decisions
• Collaboratively set standards and work with data across Monzo, fostering knowledge sharing and continuously improving data practices.
• Work closely with leaders in product, engineering, design and research to build and iterate on product ideas 

You should apply if:

• You enjoy working with cross functional fast moving teams
• You are able to think strategically about commercial products and how decisions using data can unlock more value for our customers
• You are excited about mentoring other data scientists and analytics engineers 
• You are excited by experimentation and utilising new data techniques to solve challenging problems 
• You want to understand the nuances of our data and are excited about laying the key foundational knowledge for our new products and features
• You are opinionated about how to think about measuring success and are willing to challenge the status quo

The interview process:

Our interview process involves: 

• Recruiter Call
• Initial Call 
• Technical assessment
• Final Interviews
• Business Fit/Collaboration
• Case Study
• Technical Interview

Our average process takes around 2-3 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process.

One of our recruiters has written a blog on the process, for extra details, hints and tips please see Data Hiring at Monzo

What’s in it for you:

💰 £95,000 to £130,000 + Incentive Awards tied to your performance + Benefits

✈️ We can help you relocate to the UK or Spain

✅ We can sponsor visas 

📍This role can be based in our London or Barcelona offices, but we're also 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

If you prefer to work part-time, we'll make this happen whenever we can - whether this is to help you meet other commitments or strike a great work-life balance.

#LI-NB2 #LI-Remote

📍London/Cardiff/UK Remote | 💰circa £110k + Incentive Awards tied to your performance + Benefits  ✨

⭐Our Legal team

We're looking for a Senior Legal Counsel, Commercial, IP & AI to join our UK Legal team at Monzo and help us build one of the best, most innovative banks in the world. 

You will report to Monzo’s Principal Legal Counsel, Commercial, IP & AI in the UK Legal team, which forms part of our wider Legal & Board Governance Collective. 

This role will have day-to-day responsibility for advising on commercial contracts, IP & AI matters for our UK business.  You’ll lead on a wide range of legal matters with opportunities for growth in role as the business scales.

In this role, you will work at all levels in the organisation and in close partnership with a wide-range of stakeholders including our Marketing, Procurement, Third Party Risk Management, Data Protection, Security, Risk & Control and Compliance teams.  Your clients will span all collectives of Monzo’s business, from Operations to Brand and everything in between.

No two days are the same in Monzo’s Legal team. This is not your typical legal role; so we’re not looking for a typical person.

On any given day you may be advising on a sports sponsorship, or the launch of the Monzo book, or a material outsourcing agreement, or the implementation of artificial intelligence technology - you’ll need to be curious and keen to learn.

Ultimately, we’re looking for a collaborative problem-solver with exceptional technical expertise who is willing to roll up their sleeves to help deliver products and services that delight our customers, raise standards, and contribute to our mission.

If this sounds like you, then please get in touch. 

🔑You’ll play a key role by acting as a trusted legal adviser…

• Leading on commercial contracts, including:
• directly drafted and negotiated yourself; and
• supported by our experienced panel of commercial legal contractors, whose work, delegated by you, you will supervise.
• Working (as part of the UK Legal team) alongside our colleagues in our Group Commercial Legal team on:
• developing and implementing processes and procedures to increase the efficiency and scalability of commercial legal advice across Monzo, including workflows, playbooks and precedents, and the use of new technologies; and
• delivering training, sharing insights from your work, and helping educate others on commercial contracts.
• Supporting the delivery of our intellectual property strategy (including working with our external advisers on clearance searches, registrations and oppositions).
• Being a subject matter expert on AI related matters (including the regulation of and contracting for AI).
• Managing relationships with our external legal counsel and alternative legal service providers and contractors, ensuring we are optimising our legal spend for greatest impact.

🤩 We’d love to hear from you if…

• You have around 5 years plus of relevant post qualification experience (or equivalent), having ideally spent time in private practice, and/or in-house at a high-growth technology company, and/or in-house at a bank and/or other financial institution.
• You have deep experience in all aspects of contract law, and have a genuine interest in commercial contracts; it’s not just your job but something you’re proud to be a geek about.  You’re comfortable explaining the difference between contract terms (conditions, warranties, indemnities, and representations) and negotiating your way through tricky legal issues including service credits, service levels, termination rights and liability provisions, among others.
• You have some experience advising on intellectual property related matters (copyright and trade marks in particular).
• You have some experience in artificial intelligence, particularly key legal issues related to the use of generative artificial intelligence.
• You have familiarity with the use of legal technology, including generative AI systems and contract lifecycle management platforms.
• You have some experience of financial services regulation as it relates to commercial contracts (such as material outsourcings, digital operational resilience and operational continuity).
• You have some experience in the transactional elements of data protection, including negotiating data sharing agreements, data processing agreements, and standard contractual clauses.
• You are a strategic thinker, a strong communicator and a keen problem solver who can recommend solutions that balance business and risk perspectives.
• You are willing to jump in and handle a wide range of legal issues that may arise even outside your core areas of expertise in an enthusiastic, proactive, and resourceful manner, and can sensibly assess when best to engage external counsel in a cost-effective way.
• You are comfortable operating at all levels of the organisation and liaising with a variety of internal and external stakeholders.
• You enjoy horizon scanning, proactively assessing risks, and quickly identifying and independently implementing mitigating actions. 
• You have a dynamic and entrepreneurial approach and are comfortable with the ambiguity of a fast-paced and rapidly-evolving environment.
• You welcome diverse perspectives, think rigorously and critically and aren’t afraid to challenge assumptions.
• You have an open and curious mind, are passionate about the intersection of banking and technology and are excited to join us for the next stage of our journey at Monzo!

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 an inclusive 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 that's listed just yet. Drop us your application, we’d love to hear from you! 

PQE is a guide only.

🙌 What’s in it for you

💰c. £110,000 base salary (dependent on experience) + Incentive Awards tied to your performance + Benefits 

✅ 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

🌈 The application journey has 3 key steps

• Recruiter call (potentially followed by an initial call with Principal Legal Counsel - Commercial, IP & AI)
• First stage 1 hour role specific interview
• Second stage 1 hour behavioural interview

This process should take around 2-3 weeks - your schedule is really important to us, so we promise to be as flexible as possible!

We’ll only close this role once we have enough applications for the next stage. Please submit your application as soon as possible to make sure you don’t miss out.

#LI-DH1 #LI-REMOTE

📍London | UK remote | 💰 £100,000 to £160,000 (dependent on level) + Benefits | Hear from the team

About us:

At Monzo we want to make money work for everyone. We care deeply about our 15+ million customers. Our products are different by design: through magically simple products and actionable insights, we put our customers in control of their finance.

Our range of borrowing products serve the important needs of our customers and are critical to Monzo’s mission. We have seen stellar growth and deep engagement with millions of borrowers, supported by effective credit risk and machine learning expertise. Our product portfolios are still expanding fast, from personal to business credit, and to markets beyond the UK. We are looking for bright, passionate and creative individuals to further accelerate our growth.

About the role:

The mission of Borrowing Machine Learning Scientists is to improve the customer and business outcomes through better automated decisioning, using Machine Learning and statistical modelling. We have a primary focus in credit risk modelling, with our expertise also applied to predict and optimise utilisation, pricing, collection and marketing.

You will be taking a hands-on technical leadership role, managing a small team of Senior ML Scientists. With in-depth knowledge and experience in the credit industry, you’ll drive innovations by identifying new opportunities of data and ML applications, and delivering business values across multiple Borrowing products. You’ll have a close relationship with leaders across Credit Strategy, Products, Model Validation and Engineers, with whom you will drive and influence strategic decisions and product roadmaps. You’ll also have the opportunities to work with external data suppliers and industry peers, to push the innovation frontiers for the credit industry.

With excellent technical skills, you’ll also spearhead the continuous development of our toolings, methodologies, and processes, to empower the team to build better models easier and faster. You’ll serve as the champion for the quality and efficiency of model development, and ensure safe and scalable growth of our model portfolio. You’ll also have plenty opportunities to work with other modelling teams across Monzo, to collaborate on the best practices and latest technologies.

Our technology stack

We rely heavily on the following tools and technologies (although we do not expect applicants to have prior experience of all them):

• Google Cloud Platform for all of our analytics usages
  • BigQuery SQL and dbt for our data modelling and warehousing
  • PyData stack for model development and offline deployment
  • Google AI platform for cloud computing
• AWS for backend infrastructure
  • Python for ML model microservices
  • Go lang for most other microservices
• AI toolings for productivity (an evolving list)
  • Google suites including access to Gemini
  • ChatGPT enterprise
  • Claude code

You should apply if:

• You are result oriented and motivated by the impact on our customers and business
• You thrive in a fast-paced environment and comfortable with frequent context switching
• You enjoy both the strategic thinking and influence, as well as hands-on solving technical problems
• You want to build trust and influence a diverse range of leaders and stakeholders
• You like inspiring people around you, with innovative thinking and high standard execution

You must have:

• Excellent technical skills in Python, SQL, and statistics
• Extensive knowledge of the credit industry, including the products, data, typical ML applications, and related regulations
• Hands-on experience across the lifecycle of credit risk models, including project scoping, data curation, model optimisation, performance analysis, deployment, monitoring, and diagnosis
• Successful track record of managing complex projects, with cross-functional teams and senior stakeholders
• Experience of mentoring and coaching senior ICs
• Previous experience of managing data and model governance in a regulated business

The Interview Process

• 30’ Recruiter Call
• 45’ Initial Call
• 60’ ML technical skill interview
• 60’ People Leadership interview
• 60’ Product ML interview
• 60’ Project deep dive

All interviews will be conducted through Google Meet.

What’s in it for you:

💰 £100,000 to £160,000 ➕  & benefits

✈️ We can help you relocate to the UK

✅ We can sponsor visas

📍This role can be either based in our London office with hybrid working pattern, or fully remote within UK with occasional travel to London.

🏡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.

⏰ 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

Please note: this is a hybrid working role which will require to attend Kerv's Cardiff office twice a week. 

Our Values

The Kerv approach is consultative, advisory, experienced, and rooted in data engineering. We strive to help clients gain complete clarity of their data and to exceed client expectations. Our proven management and sales methodology ensure we differentiate ourselves from our competitors, focussing purely on our client's requirements and delivering the highest standards of service possible. With more than 30 years of industry experience, we are committed to upholding the highest ethical and professional standards to our partners and clients alike.

The Role

We’re looking for a dynamic and driven individual to join our team in a fast-paced, multi-faceted role that blends technical expertise, customer service, and project delivery. This position demands exceptional multitasking skills, a proactive mindset, and the ability to manage competing priorities without compromising on quality or timelines. providing front-line support to our mobile and telecoms customers.

This is a hands-on, customer-facing role where you’ll be the first point of contact for support queries, helping users stay connected by resolving common issues, fulfilling service requests, and ensuring a smooth customer experience

Your responsibilities will encompass the following tasks: 

Incident Management & Troubleshooting

• Log, categorise, and prioritise tickets accurately within the ticketing system.
• Perform initial diagnostics and follow standard troubleshooting steps.
• Resolve straightforward issues at first contact where possible.
• Escalate more complex or unresolved issues to Level 2 teams or suppliers.
• Monitor and manage open tickets to ensure timely resolution.

Service Provisioning

• Provision a wide range of telecom products including Mobile, Data Hardware, Connectivity, VoIP, SIP, and Compliance solutions.
• Coordinate end-to-end delivery of services, ensuring accuracy, speed, and customer satisfaction.
• Follow defined processes to ensure accurate and efficient service delivery.

Customer Support & Fault Management

• Act as the first point of contact for customer queries via phone, email, and ticketing systems.
• Provide clear, friendly, and professional support to customers using mobile and telecom services.
• Handle common requests such as SIM changes, number queries, device & router setup and configuration, connectivity issues.
• Keep customers informed with regular updates and ensure a positive support experience, this includes responding promptly to faults and service requests via ServiceNow.
• Perform diagnostics and collaborate with suppliers and customers to resolve issues efficiently.

Project & Service Management

• Deliver projects across the telecom’s portfolio, ensuring milestones are met and handovers are seamless.
• Balance BAU tickets, MACs, and ongoing orders while maintaining service levels and deadlines.
• Monitor SLAs and escalate where necessary to ensure timely resolution.
• Escalate issues appropriately, providing clear handovers to internal teams or third-party providers.
• Track escalated tickets and follow up to ensure resolution.
• Collaborate with internal teams to maintain service quality and customer satisfaction.

Administrative Duties

• Handle billing entries, resolve billing queries, and maintain accurate records.
• Handle inbound and outbound customer and supplier calls professionally, efficiently, and in line with service standards.

Systems & Tools

You will work with a range of telecom and support systems, including:

• Ticketing system: Service Now, Order Management, SLA / Timesheeting.
• Mobile carrier portals: EE, Giacom,BT, Compliance platforms
• Telecom platforms: VoIP, SIP, In house Hosted telephony platform

• Connectivity supplier portals: Network/service monitoring dashboards, Supplier support systems
• Device/platform support: iOS / Android MDM’s,
• Any additional tools: Billing portal/ Asset management / inventory, Knowledge base / documentation platforms

What we are looking for:

• Experience in a customer service, helpdesk, or support role (telecoms experience is beneficial but not essential).
• Proven ability to thrive in a fast-paced environment, managing multiple tasks and priorities simultaneously.
• Strong communication skills with a customer-first mindset.
• A logical and structured approach to troubleshooting with a proactive approach to issue resolution.
• Ability to follow processes and manage a high volume of requests.
• Organised, with good time management and attention to detail.
• Clear and confident communicator, able to build rapport with stakeholders at all levels.
• Familiarity with project management methodologies and tools.

Overview

Bring your enthusiasm and talents to Esri, creating industry leading ArcGIS products. The ArcGIS Maps SDKs allow developers to build modern mapping applications for mobile and desktop platforms, with 2D and 3D data visualisation, and online or offline access. This is a fantastic opportunity to join the product development team and support the delivery of regular, high-quality releases in a collaborative and dynamic environment.  

Help us improve our cross-platform GIS software libraries, built on the latest compilers and C++ standards, and create sample apps, developer documentation, and developer outreach.  

Esri has a Relocation Assistance Program and can provide support with relocating to the Cardiff area for this position. Check out more details of the Esri R&D Center – Cardiff!

Responsibilities

• Apply curious, independent thought, and attention to detail to explore and understand the challenges that ArcGIS users face and provide usable, informative feedback on user experience
• Understand the customer, who are software developers, gathering requirements and use cases that translate into actionable code and doc improvements 
• Build rich and varied GIS datasets and maps, sample applications and articles that can be used to highlight product capabilities, explain APIs and guide user (developer) practices
• Work with your development team, and teams across Esri, to design, create, and validate the newest datasets and GIS workflows to support field mapping, data collection, spatial analysis and verify the functionality meets user workflows and is consistent with Esri ecosystem
• Describe GIS best practices and demonstrate how to apply these GIS workflows in internal team meetings, on product forums and websites, with customers, at Esri events, or in publications like the ArcGIS Blog
• Document technical topics and concepts, and produce developer-focused product documentation
• Learn about and collaborate in SDK environments (such as Kotlin, Qt, C#, Swift, Flutter, Python), to explore issues, investigate problems, and design and prototype enhancements 
• Build focused test code to represent complex situations for investigation and regression testing
• Administer, automate, and manage online and database GIS systems and services to support the development of new product features and ongoing product releases

Requirements

• 2+ years of GIS experience (such as modeling, analyzing, or presenting geospatial data in a scientific, engineering, governmental, or post graduate academic environment)
• Proficiency with mapping, spatial data or GIS platforms such as ArcGIS or QGIS 
• Strong problem-solving and analytic skills
• Proven initiative and creativity to find ways to explore, investigate, test and validate software behavior
• Excellent communication and team collaboration skills 
• Experience of, and interest in, scripting or coding to appreciate our developer users' challenges and to communicate effectively with the development team
• Bachelor’s degree in GIS, geography, computer science, engineering, or related field
• Existing work authorisation for the United Kingdom

Recommended Qualifications

• Experience and passion for working with cartography, mapping or geospatial data 
• Interest in or knowledge of layout, typography, and fonts for international text
• Proven experience of user communication and education such as having been responsible for product documentation, blogs, written or video tutorials, presentations
• Familiarity using version control systems such as Git, for documentation and code 
• Familiarity with some of the scripting or coding languages which our SDKs target, and which we use for automation, such as using Kotlin, Qt, .Net, Swift, Flutter, Typescript or Python
• Master’s degree in GIS, computer science, engineering, or related field 

Base salary is one component of our total rewards strategy. Compensation decisions and the base range for this role take into account many factors including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. 

A reasonable estimate of the base salary range is £37,080 - £58,092.

#LI-EL1

#LI-Onsite

📍London/Cardiff/UK Remote | 💰 £86,000-105,000 + Incentive Awards tied to your performance + benefits | Hear from the team ✨ 

About us:

At Monzo we want to make money work for everyone. We care deeply about our 15+ million customers. Through magically simple products and actionable insights, we put our customers in control of their finance. Our products are different by design, and reliable at our core.

Our range of borrowing products are critical to Monzo’s mission. Not only do they serve important needs of our customers, they are also a key revenue driver to support Monzo keep delivering great products and experience. We have seen stellar growth and deep engagement with millions of borrowers, supported by effective and efficient credit risk management. Our product portfolios are still expanding fast, from personal to business credit, and markets beyond UK. We are looking for bright, passionate and creative individuals to further accelerate our growth.

About the role

The mission of Borrowing ML Scientists is to improve the customer and business outcomes through better automated decisioning, using Machine Learning and Statistical modelling. We have a primary focus in credit risk modelling, with our expertise also applied to predict and optimise utilisation, pricing, collection and marketing.

You will be working alongside a team of very experienced and highly efficient ML Scientists, with well established toolings for the fully lifecycle of ML models. Each of you owns multiple ML applications end-to-end, from experiment design and data curation, to deployment and monitoring. You will be empowered to innovate in the data, methodologies and toolings, so we can build better models easier and faster.

You will have exposure to all Borrowing products and applications, with autonomy to decide what are the most impactful topics to work on, and how to deliver them. You will work closely with our Credit Strategy Managers, Model Validation Analysts, Backend Engineers, and Product Managers, to fit your model development into the product roadmap. You are also empowered to think big about the business, market and customers, to influence our product and credit strategy beyond just the world of models.

Our technology stack

We rely heavily on the following tools and technologies (although we do not expect applicants to have prior experience of all them):

• Google Cloud Platform for all of our analytics usages
  • BigQuery SQL and dbt for our data modelling and warehousing
  • PyData stack for model development and offline deployment
  • Google Vertex AI platform for cloud computing
• AWS for backend infrastructure
  • Python for ML model microservices
  • Go lang for most other microservices
• AI toolings for productivity (an evolving list)
  • Google suites including access to Gemini
  • ChatGPT enterprise
  • Claude code

🤩 You should apply if:

• You are result oriented and motivated by the impact on our customers and business
• You enjoy a high degree of autonomy and thrive in a fast-paced environment
• You are keen to grow your knowledge in both business and technology

📌 You must have:

• Excellent SQL and Python skills with good understanding of best practices in software engineering and data engineering
• In-depth knowledge of statistical and machine learning models: gradient boosted trees, logistic regression, neural networks, survival analysis, etc
• Solid knowledge of statistics: hypothesis testing, confidence intervals, bootstrap
• Experience of end-to-end model development and maintenance of ML models used for business critical automated decisioning, in a consumer facing industry
• Great attention to details while keeping an eye on the big picture
• Excellent communication skills to articulate complex problems
• Capability to build mutual respect and trust with people of different background

Nice to have:

• Experience in UK/EU retail lending businesses for personal/business customers
• Experience of ML model governance in a regulated industry
• Experience in leverage modern day AI tools for productivity

The Interview Process:

Our interview process involves:

• 30’ Recruiter Call
• 45’ Initial Call
• 60’ ML technical skill interview
• 60’ Behavioural interview

All interviews will be conducted through Google Meet.

What’s in it for you:

💰 £86,000 to £105,000 ➕ plus stock options & benefits

✈️ We can help you relocate to the UK

✅ We can sponsor visas

📍This role can be either based in our London office with hybrid working pattern, or fully remote within UK with occasional travels to London.

🏡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.

⏰ 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-DC2  #LI-Remote

📍London | UK remote | 💰 £80,000 to £95,000 + Incentive Awards tied to your performance + Benefits | Hear from the team

About our Data Science Team:

We're looking for a Senior Marketing Data Scientist excited to help build the bank of the future. You'll have the opportunity to super charge our marketing strategy in 2025 and help us to build a bank that customers truly love.

At Monzo, we're building a bank that is fair, transparent and a delight to use. We’re growing extremely fast and have over 11 million customers in the UK. We’ve built a product that people love and more than 80% of our growth comes from word of mouth and referrals.

Enable Monzo to Make Better Decisions, Faster

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. All our data lives in one place and is super easy to use. 90% of day-to-day data-driven decisions are covered by self-serve analytics through Looker which gives data scientists the head space to focus on more impactful business questions and analyses.

How we hire

We are excited to be expanding and are hiring for multiple roles across our Data Science teams! Whether your interests lie in Marketing, Borrowing, Growth, Payments, Fincrime, Wealth, or Core, we are looking for talented individuals with a versatile skill set to contribute across our squads. This role is within our Marketing function within Growth.  Join us and be part of shaping our future!

What you’ll be working on 

You will work together with other data scientists, analysts and analytics engineers as well as marketing managers on powering our marketing function within Growth. Our key goal is increasing volume and value.

Your day-to-day   

• Applying your expertise in marketing analytics, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with our marketing campaigns and how those insights can inform our marketing strategy
• Guide and enable the performance marketing and brand team to measure things that matter; initiate or help run geo-lift experiments to keep improving everything we do
• Build and apply our marketing measurement and forecasting solutions to optimise and drive growth.
• Drive together with the finance team a unified company-wide understanding of the lifetime value of our new users and how different marketing campaigns are impacting user profitability
• Liaise with engineers to keep making sure we collect the right marketing measurement data to produce relevant business insights

You should apply if:

What we’re doing here at Monzo excites you!

• You’re passionate about marketing science and understand the causal impact marketing campaigns can have
• You're impact driven and eager to have a real positive impact on the company, product, users and very importantly your colleagues as well
• You're commercially minded and can put numbers into business perspective
• You’re as comfortable getting hands-on as taking a step back and thinking strategically
• You have a self-starter mindset; you proactively identify issues and opportunities and tackle them without being told to do so
• You're a team player whom your colleagues can rely on
• You have solid grounding in SQL and preferably Python
• You have experience in conducting large scale geo-lift or A/B experiments

The Interview Process:

Our interview process involves three main stages: 

1. Recruiter Call
2. Initial Call 
3. Technical Interview
4. Final Interview including a case study and collaboration interview 

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

You will have the chance to speak to our recruitment team at various points during your process.

What’s in it for you:

💰 £80,000 to £90,000 + Incentive Awards tied to your performance + 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

If you prefer to work part-time, we'll make this happen whenever we can - whether this is to help you meet other commitments or strike a great work-life balance.

#LI-NB2 #LI-Remote

📍London | UK remote | 💰 £80,000 to £95,000 + Incentive Awards tied to your performance + Benefits | Hear from the team

About our Data Science Team:

We're looking for a Senior Product Data Scientist excited to help build the bank of the future. You'll have the opportunity to super charge our user engagement in 2025 and help us to build a bank that customers truly love.

At Monzo, we're building a bank that is fair, transparent and a delight to use. We’re growing extremely fast and have over 11 million customers in the UK. We’ve built a product that people love and more than 80% of our growth comes from word of mouth and referrals.

Enable Monzo to Make Better Decisions, Faster

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. All our data lives in one place and is super easy to use. 90% of day-to-day data-driven decisions are covered by self-serve analytics through Looker which gives data scientists the head space to focus on more impactful business questions and analyses.

How we hire

We are excited to be expanding and are hiring for multiple roles across our Data Science teams! Whether your interests lie in Borrowing, Growth, Payments, Fincrime, Wealth, or Core, we are looking for talented individuals with a versatile skill set to contribute across our squads. While we allocate teams after the interview process, we aim to match your skills and aspirations with the most suitable role. Throughout the process, you will meet team members from across our Data Science collectives, who will guide you through the opportunities available. Join us and be part of shaping our future!

What you’ll be working on 

We work in cross-functional squads where every data scientist is a member of a central data discipline and fully embedded into 1 product squad alongside engineers, designers, marketers, product managers etc.

Your day-to-day   

• Applying your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with our products and how those insights can inform our product strategy
• Guide and enable product teams to measure things that matter; initiate or help run A/B experiments to keep improving everything we do
• Drive together with the finance team a unified company-wide understanding of the lifetime value of our users and how different product features are impacting user profitability
• Liaise with engineers to keep making sure we collect the right data to produce relevant business insights

You should apply if:

What we’re doing here at Monzo excites you!

• You're impact driven and eager to have a real positive impact on the company, product, users and very importantly your colleagues as well
• You're commercially minded and can put numbers into business perspective
• You’re as comfortable getting hands-on as taking a step back and thinking strategically
• You have a self-starter mindset; you proactively identify issues and opportunities and tackle them without being told to do so
• You're a team player whom your colleagues can rely on
• You have solid grounding in SQL and preferably Python
• You have experience in conducting large scale A/B experiments

The Interview Process:

Our interview process involves three main stages: 

1. Recruiter Call
2. Initial Call 
3. Technical Interview
4. Final Interview including a case study and collaboration interview 

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

You will have the chance to speak to our recruitment team at various points during your process.

What’s in it for you:

💰 £80,000 to £95,000 + Incentive Awards tied to your performance + 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

If you prefer to work part-time, we'll make this happen whenever we can - whether this is to help you meet other commitments or strike a great work-life balance.

#LI-NB2 #LI-Remote

📍 London/Cardiff/UK Remote | 💰£120,000-£175,000 + Benefits  ✨

Our Work Force Management team ⭐

Customer Operations at Monzo is evolving into a real-time control system.

We’re moving away from traditional, headcount-driven service models toward a hybrid human + AI system, where automation handles a growing share of customer demand and human expertise is applied where it matters most.

In this world, operations is no longer about scheduling people — it’s about continuously matching demand and capacity in real time, across humans and machines, to deliver consistently great service at sustainable cost.

This role sits at the centre of that transformation.

You’ll design and operate the system that ensures every customer problem is resolved within SLA, while balancing customer experience, cost, and operational resilience — at scale.

You’ll work across Operations, Data, ML, Product, and Finance to build a closed-loop system that connects forecasting, planning, routing, and real-time intervention — and continuously improves over time.

This is not a traditional Workforce Management role.

It’s closer to running a logistics network, marketplace, or real-time service system.

🔑 You’ll play a key role by…

• Owning service performance and SLA delivery across Customer Operations - accountable for outcomes, not just inputs
• Designing and operating a closed-loop system that connects forecasting, scheduling, routing, and real-time intervention - continuously improving performance through feedback and learning
• Building and running a hybrid workforce model (Human + AI) - treating AI and automation as first-class workforce components with their own capacity, performance, and failure modes
• Leading demand forecasting and capacity planning, translating complex data into clear, actionable strategies for staffing and system design
• Running real-time performance systems - monitoring queues, identifying risks, and leading interventions when SLAs are at risk
• Shaping demand in real time through routing, prioritisation, and AI/human channel decisions to protect SLA and optimise system performance
• Developing playbooks for operational resilience, including demand spikes, automation failures, and unexpected changes in customer behaviour
• Evolving Workforce Management from scheduling to orchestration — building a system-level capability that scales with automation and complexity
• Partnering cross-functionally with Ops, Data/ML, Product, and Finance to align service performance, cost, and scaling strategy

🤩 We’d love to hear from you if…

• You’ve operated large-scale, real-time supply/demand systems (e.g. marketplaces, logistics networks, or service operations at scale)
• You’ve been directly accountable for service levels or SLAs in high-stakes, real-time environments
• You have strong operator instincts — able to make fast, high-quality decisions under pressure, balancing customer experience, cost, and risk
• You’re highly data fluent - comfortable working with forecasting models, metrics (e.g. MAPE, RMSE), and understanding how ML systems impact operational performance
• You can translate model outputs into real-world decisions, not just analysis
• You’re a builder-leader, experienced in creating teams, systems, and processes from scratch that scale across regions and time zones
• You’re excited by the challenge of orchestrating human + AI systems as a single workforce
• You can influence senior stakeholders across technical and operational domains, and drive alignment in complex environments

⚠️ What this role is (and isn’t)

• This is a system-level operations role, not a traditional scheduling or contact centre WFM position
• You’ll be accountable for outcomes (SLA, cost, resilience) — not just plans or processes
• You’ll operate in a real-time, high-stakes environment, where decisions have immediate customer and business impact

🙌 What’s in it for you

💰 £120,000-£175,000 + Benefits 

✈️ 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. 

➕ Plus lots more! Read our full list of benefits.

Interview Process

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
• 3 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. 

We have some guidelines on using Artificial Intelligence (AI) to ace an application and interview at Monzo. You can read them here.

#LI-AE1 #LI-REMOTE

 📍London  | 💰 £58,000 to £78,000 +  Incentive Awards tied to your performance + Benefits | Data Team, Borrowing 

About our Capital, Impairments & Forecasting Team

Our Capital, Impairments & Forecasting team sits at the intersection of our Borrowing and Finance collectives, responsible for developing, executing and managing the models used to calculate IFRS 9 ECL, and credit risk capital through the annual ICAAP. We work alongside our first line credit teams who design the products, decide who to lend to, set underwriting policy, identify customers who need help, manage the portfolio and report and measure credit risk.

We are scaling up our Impairments modelling team to support the rapid growth and evolution of our portfolio. This role is pivotal for the team as the successful candidate will help develop and further enhance our suite of IFRS 9 models (PD, LGD, EAD, macroeconomic models) across both well established and emerging products.  Additionally the successful individual will have oversight of model performance, construction of PMAs/model overlays where required, model implementation, and impairment analytics for senior management.

Strong data and analytical skills are a must, as is experience in credit risk modelling and IFRS 9 provision methodology.  Prior experience developing IFRS 9 models is desirable, but model development experience in IRB modelling, stress testing or scorecard models will also be considered.

We rely heavily on the following tools and technologies (note we do not expect applicants to have prior experience of all them):

• Google Cloud Platform for all of our analytics infrastructure
• dbt and BigQuery SQL for our data modelling and warehousing
• Python for data science and predictive modelling, and model implementation

Your day-to-day responsibilities:   

• Assist with end-to-end development and maintenance of IFRS 9 models (PD, EAD, LGD)
• Construction of post-model adjustments / model overlays as and when required
• Implementation of new models 
• Development and maintenance of economic-response models for scenario simulation and impairment 
• Enhancement of model monitoring and month-end ECL reporting and analytics
• Presenting modelling results to 1LOD and 2LOD risk forums/committees 
• Close collaboration with portfolio strategy, model validation, finance and external audit teams

How we work:

Our main tech hub is in London, but our data teams are based all over the UK — from Brighton to the Western Isles.

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.

Work the way that works for you at Monzo! 💼

You should apply if:

• You have a background in IFRS 9 impairments
• You have end to end experience in the development and implementation of credit models (e.g PD, LGD, EAD). 
• You have experience in monitoring ECLs and conducting driver analyses 
• You have strong analytical skills and a track record of using these to deliver technical projects
• You have a solid technical toolkit. SQL and either Python or R is a must-have, a data visualisation tool (such as Tableau, PowerBI, Looker) is a plus
• You can convey problems and solutions using clear and simple language, both written and verbal (see Monzo’s tone of voice guide). This is particularly important for communicating complex issues and priorities to non-experts
• You're impact driven and eager to have a real positive impact on the company, our products, our users and your team-mates
• You have a self-starter mindset; you proactively identify issues and opportunities and tackle them without being told to do so
• You're a team player whom your colleagues can rely on

The Interview Process:

Our interview process involves 4 main stages: 

1. Initial call with a member of the impairments team
2. Technical IFRS 9 interview 
3. Values and collaboration behavioural interview
4. A live case study problem solving interview

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

What’s in it for you:

💰 £58,000 to £78,000 +  Incentive Awards tied to your performance + Benefits

📍 London (one to two days a week)

✅ We can sponsor visas

⏰ 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 

📍London  | 💰 £78,000 to £95,000 + Incentive Awards tied to your performance + Benefits | Data Team, Borrowing 

Our Capital, Impairments & Forecasting Team

Our Capital, Impairments & Forecasting team (CIF) sits at the intersection of our Borrowing and Finance collectives, responsible for developing, executing and managing the models used to calculate IFRS 9 ECL, and credit risk capital through the annual ICAAP. We work alongside our first line credit teams who design the products, decide who to lend to, set underwriting policy, identify customers who need help, manage the portfolio and report and measure credit risk.

Within CIF, we are scaling up our Forecasting modelling and execution team to support the rapid growth and evolution of our portfolio. This role is pivotal for the team as the successful candidate will help develop and further enhance our suite of forecasting and stress testing models across both well established and emerging products.  Additionally the successful individual will have a key role in executing these models across high profile budgeting & stress-test exercises and building up our toolkit to quantify the impact of various strategic decisions for senior management.

Strong data and analytical skills are a must, as is experience in credit risk modelling.  Prior experience developing credit risk forecasting models is desirable, but relevant model development / validation experience in IRB modelling, IFRS9 or scorecard models will also be considered. Experience as a ‘model user’ of forecasting models in the context of budgeting or stress-testing would be helpful but is not required.

We rely heavily on the following tools and technologies (note we do not expect applicants to have prior experience of all them):

• Google Cloud Platform for all of our analytics infrastructure
• dbt and BigQuery SQL for our data modelling and warehousing
• Python for data science and predictive modelling, model implementation and data visualisation (via streamlit)
• Github for version control

Your day-to-day responsibilities:   

• Assist with continuous improvement of forecasting models via new developments or recalibrations.
• Construction of grounded overlays, where required, to quantify effects of future strategy changes or address known model limitations
• Furthering the development and execution of forecast model monitoring to inform an effective prioritisation of model improvements
• Presenting forecast model results to senior management
• Close collaboration with portfolio strategy, model validation, finance and external audit teams

You should apply if:

• You have a background in forecast modelling or execution
• You have relevant experience in the development and implementation of credit models (e.g IFRS9 / Forecasting / IRB)
• You have strong analytical skills and a track record of using these to deliver technical projects
• You have a solid technical toolkit. SQL and Python are our desired coding languages but experience in SAS/R will be considered. A data visualisation tool (such as Streamlit or Looker) is a plus
• You can convey problems and solutions using clear and simple language, both written and verbal (see Monzo’s tone of voice guide). This is particularly important for communicating complex issues and priorities to non-experts
• You're impact driven and eager to have a real positive impact on the company, our products, our users and your team-mates
• You have a self-starter mindset; you proactively identify issues and opportunities and tackle them without being told to do so
• You're a team player whom your colleagues can rely on

The Interview Process:

Our interview process involves 4 main stages: 

1. Initial call with a member of the Forecasting team
2. Technical modelling interview 
3. Values and collaboration behavioural interview
4. A live case study problem solving interview

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

What’s in it for you:

💰 £78,000 to £95,000 +  Incentive Awards tied to your performance + Benefits

📍 London (one to two days a week)

✈️ We can help you relocate to the UK

✅ We can sponsor visas

⏰ 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-LG1  #LI-Remote

📍London or Remote (UK) | 💰 Base salary for this role is £110,500 - £145,000 + Incentive Awards tied to your performance + Benefits 

Engineering Management at Monzo:

Engineering Managers at Monzo are part of cross-functional, autonomous teams and groups. Our teams are mission driven, and typically include Product Managers, backend, web and mobile engineers as well as data scientists, designers and subject matter experts relevant to that mission. Teams are organised into groups, and then collectives - we aim to keep our line management structure as shallow as possible, and for teams to directly own decision making relevant to their work.

The Engineering Manager role at Monzo is split into three pillars - people, product, and technical leadership. Engineering Managers are accountable for the technical and delivery outcomes for their area - that means supporting and developing best in class engineering talent, as well as creating an inclusive team environment for people to do their best work.

You can read more on the expectations of Engineering Managers on our Progression Framework.

The Role

We're continuously hiring Engineering Managers as we continue to grow and build new teams. We hire on a pipeline based approach which means your application will be considered across all of our open EM positions. We use the interview process to assess your strengths and we'll match you to a role that best aligns with your experience. Of course, this is a collaborative process so you can also tell us which roles you're most interested in as you progress through interviews 😊 We're currently hiring across Platform, Core App, and Expansion.

You’ll spend your time:

• Taking accountability for delivery across your squad(s), collaborating with the Technical Lead and Product Manager.
• Actively fostering a high bar for engineering excellence within your teams. You’re accountable for the technical outcomes your teams deliver alongside individual engineer performance and growth, so holding a high bar (and clearly articulating your expectations) is key.
• You’ll initially lead a group of around 7-10 engineers (depending on the role) and support, coach and develop them through their career with regular 1:1s and continuous feedback.
• Partner with senior engineers in your area to drive technical initiatives that raise the bar for our engineering practices.
• Lead on communication with stakeholders from other teams, creating focus space for engineers to do their best work.
• Collaborate with the wider engineering organisation to contribute to company-wide best managerial and technical practices and standards.

You should apply if:

While this is not a role which requires hands-on-coding, we are looking for an experienced manager who has a strong technical and delivery background and has worked as a software engineer in previous roles.

We recognise that engineering managers lead in different ways, we’re looking for someone who: 

• Is comfortable operating with ambiguous problem areas with a high degree of autonomy.
• It’s a bonus if you have experience working in an experimentation led environment.
• Has delivery experience and is able to guide the squads in achieving their outcomes.
• Focuses on outcomes over processes, who optimises for the highest impact and leverage.
• Is able to input, understand and challenge engineering decisions - but to empower the team to make those decisions themselves
• Has an understanding of what good looks like for a high-performing team of engineers and ability to chart a course to get there
• Is able to to coach people to achieve their goals
• Has a natural ability to inspire and motivate a team

We consider your application across all open EM roles at Monzo independent of which role you've applied for, so if you've recently applied to a similar role at Monzo and have been unsuccessful, please wait 6 months before applying again.

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! 💼

The interview process:

After an initial informal 30 min recruiting call, our interview process involves two main stages:

1. Initial Call Interview (1 hour) You'll meet with one of our Senior Engineering Managers or Engineering Directors. They'll ask you about your previous experience, in particular people leadership, product delivery and technical leadership. They’ll ask example based questions (‘Tell me about a time when…’)
   
   
2. Loop Stage (3 hours 30 mins) The Loop stage consists of 3 x 60 min interviews that take place over 1-2 days (depending on your availability) and one 30 minute reverse interview (more details below).

The Loop is one stage, and the interviews in the Loop are:

- Team and Org Management (1 hour)
An example based interview with 1-2 of our engineering leaders. They’re interested to hear examples from your previous experience on the teams you’ve led, how you’ve shaped and partnered with product, and the impact you had.

- System Design (1 hour)
You'll partner with a Staff or Principal Engineer on a technical whiteboarding exercise.

- Behavioural (1 hour)
Similar to Team and Org Management, this is an example based interview with 1-2 Engineering Leaders. This interview focuses on your people leadership style and core behaviours as an Engineering Manager.

- Chat with an Engineering Leader (30 mins)
At Monzo, we believe interviews are a two-way street. This will be your opportunity to ask us any questions about Monzo, engineering leadership or our teams – whatever’s on your mind. 

All things going well, you'll have completed the hiring process 🚀

Our average process takes around 3-4 weeks but we will always work around your availability. You’ll have the chance to speak to our recruitment team throughout the process. 

What’s in it for you:

💰Base salary range for this role is between £110,500 - £144,000 depending on experience + Incentive Awards tied to your performance + Benefits 

✈️ We can help you relocate to the UK  

✅ We can sponsor visas

📍We offer flexible working with no company mandate on how often you need to come into the office. You can be London based or remote within the UK (with ad hoc visits to our London office).

⏰ 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 Engineering Managers, so there's no closing date for this job. 

#LI-AL1 #LI-REMOTE

📍London or Remote (UK) | 💰 £130,000 - £165,000 + Equity + Benefits 

About the Role 

This role is for a Senior Engineering Manager where you’ll be a manager of managers. You will be leading across multiple teams in an org of around 20-30 people. We’re expanding and your role as the Senior EM will be to grow and build new squads as needed. Your direct reports will include Tech Leads, Senior Engineers and 2-3 Engineering Managers.

Senior Engineering Managers at Monzo are part of cross-functional, autonomous teams and groups. Our teams are mission driven, and typically include Product Managers, backend, web and mobile engineers as well as data scientists, designers and subject matter experts relevant to that mission. Teams are organised into groups, and then collectives - we aim to keep our line management structure as shallow as possible, and for teams to directly own decision making relevant to their work.

Senior Engineering Managers are accountable for the technical and delivery outcomes for their area - that means supporting and developing best in class engineering talent, as well as creating an inclusive team environment for people to do their best work. You’ll be responsible for structuring, organising, supporting and challenging your team to deliver on their mission.

You can read more on the expectations of Senior Engineering Managers in our Progression Framework.

Is this role right for you?

While this is not a role which requires hands-on-coding, we are looking for an experienced manager who has a strong technical and delivery background and has worked as a software engineer in previous roles.

We recognise that Senior Engineering Managers lead in different ways, we’re looking for someone who is adept at: 

• Delivery and Execution: Enjoys taking accountability for delivery across your squad(s), collaborating with the Technical Lead and Product Manager.
• Engineering and Operational Excellence: Actively fosters a high bar for engineering excellence within your teams. You’re accountable for the technical outcomes your teams deliver alongside individual engineer performance and growth, so holding a high bar (and clearly articulating your expectations) is key.
• People Leadership: Has experience directly managing at least 2-3 Engineering Managers and leading orgs of around ~20 engineers. You can support, coach and develop them through their career with regular 1:1s and continuous feedback.
• Technical Influence: Partners with senior engineers to drive technical initiatives that raise the bar for our engineering practices.
• Stakeholder Relationships: Builds strong stakeholder relationships with other teams, and creates a focus space for engineers to do their best work.
• Organisational Wide Impact: Collaborates with the wider engineering organisation to contribute to company-wide best managerial and technical practices and standards.

We consider your application across all open EM roles at Monzo independent of which role you've applied for, so if you've recently applied to a similar role at Monzo and have been unsuccessful, please wait 6 months before applying again.

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! 💼

The interview process:

After an initial informal recruiter call you go through two main stages

1. Initial Call (1 hour) You'll meet with one of our Senior Engineering Managers or Engineering Directors. They'll ask you about your previous experience, in particular people leadership, product delivery and technical leadership. They’ll ask example based questions (‘Tell me about a time when…’)
   
   
2. Loop Stage (3 hours 30 mins) The Loop stage consists of 3 x 60 min interviews that take place over 1-2 days (depending on your availability) and one 30 minute reverse interview (more details below).

The Loop is one stage and the interviews in this stage are:

- Team and Org Management (1 hour)
An example based interview with 1-2 of our engineering leaders. They’re interested to hear examples from your previous experience on the teams you’ve led, how you’ve shaped and partnered with product, and the impact you had.

- System Design (1 hour)
You'll partner with a Staff or Principal Engineer on a technical whiteboarding exercise.

- Behavioural (1 hour)
Similar to Team and Org Management, this is an example based interview with 1-2 Engineering Leaders. This interview focuses on your people leadership style and core behaviours as an Engineering Manager.

- Chat with an Engineering Leader (30 mins)
At Monzo, we believe interviews are a two-way street. This will be your opportunity to ask us any questions about Monzo, engineering leadership or our teams – whatever’s on your mind. 

All things going well, you'll have completed the hiring process 🚀

Our average process takes around 3-4 weeks but we will always work around your availability. You’ll have the chance to speak to our recruitment team throughout the process. 

What’s in it for you:

💰Base salary £130k - £165k + Equity + 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-Remote #LI-AL1

📍London / UK Remote | 💰 £135,000 - £184,000 + Share Options | Benefits | Technology 

Senior Staff Engineer: L70 on our Engineering Progression Framework

About our Engineering Teams:

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.

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

Senior Staff Engineer Responsibilities:

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)
• Cassandra for most persistent data storage
• Kafka for our asynchronous message queue
• Kubernetes and Docker to schedule and run our services 
• AWS for most of our production infrastructure and GCP for most of our data infrastructure.
• React for internal Web dashboards
• 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

💰£140,000 - £184,000 ➕ share options.

✈️ 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. 

➕ Plus lots more! Read our full list of benefits.

🌈 The application journey has 4 key steps

Our interview process involves four main stages after an informal recruiter call: 

1. Recruiter Call 
2. Initial Call 
3. System Design Interview 
4. Take home task or pair coding exercise 
5. 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.

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📍London, Cardiff or Remote | 💰 from £63,800 + incentive awards tied to your performance + Benefits 

⭐ About our Financial Risk Team:

Our Stress Testing team is growing, and we’re looking for a Senior Stress Testing Analyst to help design, lead and deliver Monzo’s stress testing framework.

You’ll work across the full lifecycle of stress testing – from methodology design and scenario development through to running models, interpreting outputs and presenting results to senior stakeholders across Finance, Risk and the wider business. This role carries significant visibility and will require you to confidently own and explain complex analysis to exec-level audiences.

Alongside delivery, you will help build and improve our processes, governance and analytical toolkit. This is a brilliant opportunity for someone who combines strong analytical ability with influence, clarity of communication and the maturity to shape conversations with senior leaders.

🔑 What you’ll be working on: 

As a Senior Analyst for Stress Testing, you'll initially support the development and maintenance of the full lifecycle of our stress testing framework. This framework will be used to deliver prudential stress testing to support the production of the ICAAP, Recovery Plan and understanding the resilience of our balance sheet and risk management strategies. Your core responsibilities will include: 

• Supporting delivery of all key stress testing activities, including ICAAP, Recovery Planning, Reverse Stress Tests and ad-hoc exercises.
• Running models, undertaking detailed analysis and interpreting results, ensuring outputs are robust, accurate and insightful.
• Presenting stress testing results and analysis to senior stakeholders, including Finance leadership, the broader Risk leadership group, governance committees and working groups.
• Acting as a key point of contact for cross-functional teams, ensuring stakeholders understand methodologies, assumptions, outputs and implications for the business.
• Helping design and enhance stress testing methodologies and frameworks, including data processes, scenario translation and model parameterisation.
• Designing and improving stress testing processes, ensuring they are scalable, controlled and repeatable.
• Building strong relationships across FP&A, Treasury, Borrowing, Credit Risk, Data, Product and other teams, facilitating smooth data flows and clear expectations.
• Producing high-quality written materials that explain complex analysis clearly for diverse and senior audiences — including memos, committee papers and technical documentation.
• Identifying opportunities for process improvement, automation and better controls, supporting the wider Financial Risk team’s development.
• Supporting the development and embedding of tools, models and templates used across stress testing and financial risk.

🤩 We’d love to hear from you if you…

• Have experience working in financial risk, credit risk, prudential regulation, finance, analytics or another analytically focused financial services role.
• Have strong analytical and problem-solving skills and enjoy working with models, scenarios, and financial data.
• Are confident presenting technical or complex analysis to senior stakeholders, and influencing outcomes with clarity and structure.
• Understand financial statements, capital metrics and risk drivers within a bank, or are keen to deepen your expertise in these areas.
• Are experienced in navigating cross-functional environments and building trusted relationships across levels and disciplines.
• Can translate complex information into simple, compelling messages for both technical and non-technical audiences.
• Are comfortable working independently, managing shifting priorities, and taking ownership for the quality of your work.
• Have a data-driven mindset and enjoy finding smarter, more scalable ways to deliver analysis (SQL or coding experience is a bonus).

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 that's listed just yet. Drop us your application, we’d love to hear from you!

🙌 What’s in it for you

💰from £63,800 + incentive awards tied to your performance

📍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. 

➕ Plus lots more! Read our full list of benefits.

🌈 The application journey has 4 key steps

• Phone call with recruiter (30 mins)
• Initial video call with Hiring Manager (30 mins)
• Technical assessment + interview (60 mins)
• Behavioural Round (45 mins)

This process should take around 2-3 weeks - your schedule is really important to us, so we promise to be as flexible as possible! 

We have some guidelines on using Artificial Intelligence (AI) to ace an application and interview at Monzo. You can read them here.

We’ll only close this role once we have enough applications for the next stage. Please submit your application as soon as possible to make sure you don’t miss out.

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