📍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

📍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 | Benefits | Hear from the team ✨| Check out our Career Launchpad 🚀

What you’ll be working on: 

The Analytics Engineering team is 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 an amazing Data Warehouse to support decision making, Business Intelligence, key financial reconciliation processes and best in class analytics and Data Science. 

You’ll enable our data driven approach, and:

• Support the building of robust data models downstream of backend services (mostly in BigQuery) that support internal reporting, machine learning as well as financial and regulatory use cases.

• Focus on optimisation of our Data Warehouse, spotting opportunities to reduce complexity and cost.

• Help define and manage best practices for our Data Warehouse. This may include payload design of source data, logical data modelling, implementation, metadata and testing standards.

• Set standards and ways of working with data across Monzo, working collaboratively with others to make it happen.

• Take established best practices and standards defined by the team, applying them within other areas of the business.

• Investigate and effectively work with colleagues from other disciplines to monitor and improve data quality within the warehouse.

• Contribute to prioritisation of data governance issues
• 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 enjoy working with cross functional fast moving teams and are passionate about serving small businesses.
• You are able to think strategically about the Business Banking product and how our underlying data models will unlock more insights for our team and more value for our customers.
• You have a strong passion for data modelling, ETL projects, and Big Data.
• You 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.

Nice to haves

• Any experience working within a finance function or knowledge of accounting.

• Experience working in a highly regulated environment (e.g. finance, gaming, food, health care). 

• Knowledge of regulatory reporting and treasury operations in retail banking

• Exposure to Python, Go or similar languages.

• Experience working with orchestration frameworks such as Airflow/Luigi

• Have previously used dbt, dataform or similar tooling.

• Used to AGILE ways of working (Kanban, Scrum)

The Interview Process:

Our interview process involves 3 main stages: 

• 30 minute recruiter call
• 45 minute call with the hiring manager
• Take home task
• 2-part final stage

Our average process takes around 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 but if you do have any specific questions ahead of this please contact us on tech-hiring@monzo.com Please also use that email to let us know if there's anything we can do to make your application process easier for you, because of disability, neurodiversity or any other personal reason.

What’s in it for you:

📍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.

📍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 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 | 💰£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 | UK remote | 💰 £126,000 to £160,000 + Benefits

About our Business Banking Team:

Our Mission in Business Banking is to simplify banking for small businesses - this means making business banking fairer, simpler, and more transparent for small businesses. Monzo Business Banking is fast growing and is the UK’s most recommended business account for overall service quality and used by 1 in 7 UK SMEs. Data is crucial to the success of this mission and product data scientists are the core of how we build and scale our data to Enable Monzo to Make Better Decisions, Faster, and help serve Monzo’s businesses.

As we scale Business Banking, we are hiring a Senior Data Science Manager to set product direction using data, strengthen commercial decision-making, and lead the evolution from analytics to AI and ML-enabled product capability in Business Banking.

You’ll be working in an ever changing environment in collaboration with the General Manager and BB Leadership team.

You’ll help us build and improve these for now and for our future roadmap. We’re looking for a leader with hands-on experience, data driven strategic leader who can bring fresh thinking and new ways to inspire the team and our customers.

What you’ll be working on:

• You’ll work closely with the General manager, product director, engineering managers, designers and researchers in an agile product environment.
• You will shape product strategy and prioritisation — making crisp recommendations on what to build, why, and how we’ll measure success.
• You’ll champion the use of data, bring ideas to life through rigorous experimentation and A/B testing.
• You’ll help build AI/ML-enabled product capability (where it’s the right tool), and ensure features are evaluated, launched, and monitored responsibly.
• You and your team will drive product innovation and you’ll get to see the impact of all your work in the product changes we make.
• You’ll bring commercial acumen to decisions — sizing opportunities, clarifying trade-offs, and helping leadership choose where to invest.
• You will be a key leader in building a discipline of exceptional data scientists and analytics engineers working on making Monzo world class in Business Banking, as well as having the opportunity to help your team’s career progression and development.

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.

You should apply if:

• You have multiple years of experience in product data science, with 3 or more years working in Senior or Lead positions within Data Science or Analytics.
• You have had experience managing high performing senior teams of 8-10 people
• You consider yourself an empathetic leader and have experience managing data scientists and analytics engineers and you really enjoy that part of the job.
• Proven ability to set direction and influence product strategy with data (not just analysis).
• Strong commercial judgement and comfort with trade-offs.
• Experience leading teams, with the ability to be hands-on when needed (IC-capable).
• Practical understanding of shipping/operating ML in a product environment (or leading teams that do).
• Strong stakeholder influence and clear, concise communication.
• You are comfortable exploring potentially ambiguous business problems and enjoy using data to drive decisions
• You have experience building relationships and working together and collaborating with senior business stakeholders and product teams
• Experience with working with c-level peers
• You know what it takes to lead top tier Data Science and Analytics Engineering talent talent
• You're familiar with using a variety of Data Science tools (from business intelligence, experimentation and causal inference through to machine learning), and coding languages (Python and SQL). You know when to pick the right tool, and can help others do the same

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!

The 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. 

What’s in it for you:

💰 £126,000 to £160,000 + 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-AE1  #LI-Remote