Monzo Bank on cord

Monzo Bank

Staff Analytics Engineer

External position
Remote in UK
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FinTech · Banking
We're here to make money work for everyone
Posted
a month ago
Checked
cord regularly checks that external positions are still open
10 hours ago

Skills & Experience

Job roles: Data Engineer
Experience level: Lead
Core skills considered: Data Architecture, Technical Direction, dbt
Other skills considered: BigQuery, CI/CD, SQL

Logistics

Base salary: ÂŁ120K - ÂŁ165K
Employment type: Permanent
Remote working: Remote
Work from: Within United Kingdom
Working Timezones: (UTC) London +/- 2 hours
Visa sponsorship: Not available

Job Description

Our mission in Borrowing is to help people achieve their financial goals through better borrowing. Our customers borrow money to achieve something in their lives 6 whether that's making a big life event affordable, buying something they need now without affecting their monthly budget, or getting by until payday. We're shaping this mission by building products our customers love, while safely scaling some of Monzo's biggest revenue lines.

Borrowing is one of Monzo's most complex and fastest-growing domains. We operate 12+ products across multiple geographies, underpinned by 1,700+ data models and an analytics engineering team that's scaling to match. We're in the middle of a major data architecture transformation, expanding into new markets, and building the next generation of data infrastructure to support it all.

We're looking for a Staff Analytics Engineer to help shape how Borrowing builds and uses data at scale. Reporting to the Borrowing Data Director, you'll work across product, credit, engineering, Data Platform, and analytics engineering teams to turn complex technical problems into clearer systems, stronger data products, and better business decisions.


Key Duties

  • Architecting Borrowing's data layer at scale. Partnering across Analytics Engineering, Product, Engineering, Credit, and Data Platform to shape how 1,700+ models across 12+ products are structured, connected, and evolved. You'll set shared patterns that help teams build trusted, consistent, and scalable data products across Borrowing.
  • Designing and governing data products. Moving us beyond ad-hoc tables toward well-defined, contractual data assets with clear ownership, SLAs, documentation, and interfaces. You'll work with teams across Borrowing and Data Platform to define what makes a Borrowing dataset 3production-grade 4 and consumable by analytics, ML, decisioning, and regulatory teams.
  • Building feature stores and reusable analytical assets. Identifying cross-product signals (credit behaviour, repayment patterns, affordability, risk indicators) that should be modelled once, tested rigorously, and consumed by many. You'll design the layer that turns raw product data into curated, versioned features that power models, dashboards, and decisions.
  • Scaling our analytics engineering infrastructure. Shaping the tooling, patterns, and developer experience that make an 80+ person credit and data organisation more productive. This means influencing our data architecture and ways of working across data and credit disciplines, while partnering with the central Data Platform team to ensure Borrowing's needs are reflected in ingestion, streaming, and schema contract design.
  • Driving cross-product data consistency. As we expand across geographies and product lines, ensuring our data models are coherent and comparable. You'll work with AE leads and domain experts to define shared conventions and abstractions that allow us to reason about Borrowing as a whole, not just product-by-product.
  • Being a senior technical partner for Borrowing's data estate. Partnering with backend engineers on source data payload design, with product managers on measurement strategy, with credit teams on decisioning data, and with senior leadership on what's possible and what's next.
  • Leading through influence and leverage. You won't manage people directly, but you'll shape how an entire domain builds data. You'll multiply the impact of AEs across Borrowing by setting the right patterns, unblocking architectural decisions, and raising the bar on what good looks like.

Candidate requirements, qualifications, skills, experience

  • You think in systems, not just queries. You've designed data architectures that span multiple products or domains, and you know how to keep them coherent as they scale. You can take ambiguous problems and turn them into a clear technical direction, delivery sequence, and set of trade-offs.
  • You've built data products, not just data models. You understand the difference between a table that exists and a data asset that's governed, documented, versioned, discoverable, and trusted. You've defined SLAs, contracts, interfaces, or ownership models for data consumers, and you're excited to do this at scale.
  • You have deep fluency with analytics engineering systems and infrastructure. dbt at scale, BigQuery or equivalent, CI/CD for data, testing frameworks, and orchestration. You don't just use these tools, you shape how teams use them. You've hit the scaling limits and know what to do about them.
  • You can design reusable feature layers. You've designed, contributed to, or have a clear vision for reusable feature layers that serve multiple consumers, including ML pipelines, dashboards, decisioning engines, and regulatory reporting. You understand the trade-offs between freshness, cost, granularity, correctness, and ease of use.
  • You're comfortable at the platform boundary. You can have a productive conversation with a Data Platform engineer about ingestion patterns, streaming vs. batch trade-offs, schema evolution, and infrastructure costs. You don't need to build the platform, but you need to shape what it delivers.
  • You connect technical choices to business outcomes. You care about whether data models, feature layers, and platform patterns actually improve decisions. You understand how product, credit, engineering, and operational teams use data, and you use that context to align people around better technical choices.
  • You lead through others. You create leverage not by writing more SQL, but by setting patterns, reviewing designs, unblocking teams, and raising the standard. You're energised by making 30+ people more effective, not by being the single expert.
  • You communicate across altitudes. You can whiteboard a data architecture with a back-end engineer in the morning and present a strategic data roadmap to a director in the afternoon. You adapt your message to your audience without losing precision.
  • You care about credit products. You're excited, or curious, about the complexity of lending, including risk, affordability, regulatory constraints, and multi-product dynamics. You see it as a fascinating data domain, not just a business vertical.

Company Benefits

Compensation
  • Your manager reviews your salary every year
  • Proactive pay increases to reflect growing responsibilities
  • Share options: the option to buy shares in Monzo at a later date
📆 Flexible working hours
  • We trust you to work enough hours to do your job well, at times that suit you and your team
  • If you’re in customer operations, you’ll have set shifts
🏡 Working from home
  • If you’re employed as a distributed worker, we’ll pay for any equipment you need to do your job
  • If you’re normally office-based, you can still work from home occasionally - as long as you have a good internet connection and a private, quiet space which allows you to do your best work
  • We’ve teamed up with Abellio to make season travel tickets easy to buy and more accessible by helping spread the cost of an annual travel ticket interest free over 10 months
🌴 Holiday
  • 26 days’ a year, plus bank holidays – or opt out of bank holidays and take 34 days whenever you like
  • 255 hours, equivalent to 34 days, if you’re in Customer Operations (Customer Operations are scheduled to work bank holidays, but can request them off)
  • 1 month’s unpaid leave every year
  • 8 weeks of paid sabbatical leave after every 5 years of service
⛑️ Health & Wellbeing
  • Paid sick leave for physical and mental health
  • Private healthcare cover
  • Additional health cover through the health cash plan
  • An Employee Assistance Programme, with 24/7 confidential support for things like bereavement or health worries
  • Access to the cycle to work scheme for some fresh wheels
📚 Learning
  • Learning budget of ÂŁ1,000 a year for books, training courses and conferences
  • Regular knowledge-sharing sessions with your squad, collective and discipline
  • A library of industry-related books that you can borrow at any time
đź’° Pension
  • We'll automatically enrol you into our pension scheme with Aviva
  • Monzo contributes the equivalent of 4% of your base salary. Monzo will match any additional contributions that you make up to a maximum of 6%
  • You'll need to contribute 4% to, and you can choose to contribute more to take advantage of Monzo's additional contributions!
  • You can opt out if you'd prefer not to have a pension at all
🧡 Family
  • Paid maternity, paternity, adoption or shared parental leave, if you’ve been with us for at least 13 weeks
  • 52 weeks of primary caregiver leave (6 months at 100% pay, 13 weeks at Statutory Maternity Pay, 13 weeks unpaid)
  • 3 months of secondary caregiver leave at 100% pay
  • Life insurance from Unum
  • All Monzonauts, including those based outside of the UK, will have access to fertility and family-forming health benefits via Fertifa.
👥 Community
  • Monthly budgets for squads and managers to use for team activities
  • Gifts to Monzonauts to say thanks when we reach company milestones&celebrations
  • Free company merch (we’re talking hoodies, t-shirts and more) for personal milestones such as joining Monzo, becoming a caregiver and your anniversary
  • Regular socials, such as quizzes, movie nights and bingo, as well as an annual company-wide party
  • Live weekly yoga you can join in our London office or remotely
  • Free breakfast, hot and cold drinks, biscuits and fruit every day in our offices
  • Hot lunches twice a week on us, as well as grab and go options if you’re based at the office
  • Regular webinars, lunch and learns, and speakers on topics which matter to you
Staff Analytics Engineer at Monzo Bank
Position posted a month ago

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Starling Bank on cord

Starling Bank

Full Stack Engineer (ML Ops)

London, UK
FinTech · Banking · Finance
A better bank for everyone
Active
over 6 months ago
Responds to
0% of requests
Responds in
1h 55m
Requests
7 pending

Skills & Experience

Job roles: Full Stack
Experience level: Mid, Senior
Core skills considered: Java, React, Redux, AWS, JavaScript

Logistics

Base salary: ÂŁ70K - ÂŁ110K
Employment type: Permanent
Remote working: Hybrid (up to 2 remote days p/w)
Visa sponsorship: Not available

Job Description

Starling is the UK’s first and leading digital bank on a mission to fix banking! Our vision is fast technology, fair service, and honest values. All at the tap of a phone, all the time.

Starling is the UK’s first and leading digital bank on a mission to fix banking! We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way.

We’re a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We’re a bank, but better: fairer, easier to use and designed to demystify money for everyone. We employ more than 3,000 people across our London, Southampton, Cardiff and Manchester offices.

Our technologists are at the very heart of Starling and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together!

The way to thrive and shine within Starling is to be a self-driven individual and be able to take full ownership of everything around you: From building things, designing, discovering, to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five Starling values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness.

Hybrid Working

We have a Hybrid approach to working here at Starling - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. We don't like to mandate how much you visit the office and work from home, that's to be agreed upon between you and your manager.

Our Data Environment

Our Data teams are excited about the value of data within the business, powers our product decisions to improve things for our customers and enhance effective and agile decision making, regardless of what their primary tech stack may be. Hear from the team in our latest blogs or our case studies with Women in Tech.

We are looking for talented data professionals at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to Starling. People with a broad ability to apply themselves to a multitude of problems and challenges, who can work across teams do great things here at Starling, to continue changing banking for good.

Requirements

We have built our entire banking platform in house and mostly in Java. We are looking for people who want to work on building the tooling that is used by our engineers on a daily basis.

We are looking for people who are truly full stack, and are as comfortable polishing their javascript front end as they are debugging the innards of their java applications database interactions, or standing up infrastructure with terraform. We are looking for people who can:

  • Design REST apis.
  • Code backend services, ideally using Java, or another other server side compiled language.
  • Develop modern front ends, ideally using React and Redux.
  • Get their code into the cloud and support it there, ideally on AWS.
  • Believe in clean coding, simple solutions, automated testing and continuous deployment.
  • Like to take ownership of a feature from the original idea through to live.
  • Think (like us) that a small number of empowered developers is the right way to deliver software.

Company Benefits

  • 33 days holiday (including flexible bank holidays)
  • An extra day’s holiday for your birthday
  • 16 hours paid volunteering time a year
  • Part-time and/or flexible hours available for most roles
  • Salary sacrifice, company enhanced pension scheme
  • Life insurance at 4x your salary
  • Hybrid/remote working
  • Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton
  • Generous family-friendly policies
  • Varied social groups set up and run by our employees
  • Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks
  • Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing

Full details are available on our careers site

Interview Process

Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team:

  • Stage 1 - 30 mins with one of the team
  • Stage 2 - Take home challenge
  • Stage 3 - 90 mins technical interview with two team members
  • Stage 3 - 45 min final with an executive and a member of the people team
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