Senior Analytics Engineer, Monzo

£70-85k

SQL
Python
Go
Airflow
Luigi
BigQuery
dbt
Senior level
Remote in UK
London

More information about location

Monzo

Digital-only bank platform and marketplace

Job no longer available

Monzo

Digital-only bank platform and marketplace

1001+ employees

FintechB2CB2BBankingMarketplacePersonal financeFinancial ServicesMobile

Job no longer available

£70-85k

SQL
Python
Go
Airflow
Luigi
BigQuery
dbt
Senior level
Remote in UK
London

More information about location

1001+ employees

FintechB2CB2BBankingMarketplacePersonal financeFinancial ServicesMobile

Company mission

To build a new kind of bank that makes money work for everyone.

Role

Who you are

  • 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

Desirable

  • 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)

What the job involves

  • 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
  • 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

Application process

  • 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

Salary benchmarks

Our take

Monzo is a challenger bank that fully operates online and offers a full range of current, savings, business accounts, and more. The speed of the challenger banks to provide a great experience has been impressive, and the number of competitors appearing has proven the consumer desire for innovation.

Monzo remains one of the popular online banks, with more than 6 million customer active users. The company faces competition as more traditional banks, such as Goldman Sachs and JP Morgan, have launched their own digital banks. However, the new technologies that the company is built on enable it to expand quickly (with fewer issues) than the incumbent players' offerings.

With an increasing amount of people switching banks, the company's ever-expanding suite of banking and financial services (such as its buy-now-pay-later offering) has resulted in Monzo receiving the second-highest net switching gains among digital challenger banks (just behind Starling).

After setting U.S. expansion plans aside in 2020, the company launched in the U.S. market in early 2022, partnering with Sutton Bank to provide its U.S. accounts. After several years focused on narrowing its losses, Monzo hit profitability in the first two months of 2023. In the same year, 2 million new customers joined, tallying its customer base at 9 million in 2024.

Kirsty headshot

Kirsty

Company Specialist

Insights

Top investors

Many candidates hear
back within 2 weeks

42% female employees

19% employee growth in 12 months

Company

Funding (last 2 of 18 rounds)

May 2024

$190m

LATE VC

Mar 2024

$447.3m

LATE VC

Total funding: $1.9bn

Company benefits

  • Yearly Salary Review + Proactive pay increases to reflect growing responsibilities + Share options
  • Flexible working hours
  • Work From Home Opportunities + we'll pay for any equipment you need to do your job
  • 24 days holiday a year, plus bank holidays
  • Paid sick leave for both physical & mental health + Health insurance via AXA or Vitality + Additional health insurance through Medicash
  • Employee Assistance Programme
  • Learning budget of £1,000 a year
  • Aviva Pension Scheme + 4% Employer Contribution
  • Paid maternity, paternity, adoption or shared parental leave (after 13 weeks of employment)
  • 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
  • Unum Life Insurance
  • Access to fertility and family-forming health benefits via Fertifa
  • Abellio Season Travel Tickets + Cycle-to-Work Scheme

Company values

  • Be hard on problems, not people 🙌 We create supportive communities to help people thrive.
  • Make a difference 🚀 We solve real problems, working on things that have the biggest impact for our customers and each other.
  • Help everyone belong 🤗 We’re building a bank for everyone. We embrace differences and make sure everyone feels welcome.
  • Think customer first; grow Monzo safely 🥕 We always do what's best for customers. It's the right thing to do and the safest way to grow.
  • Default to transparency 🎤 We’re open with each other and customers unless we have good reason not to be.
  • Think big, start small, own it 🌲 We’re ambitious and shoot for the moon, working iteratively to get the best results.

Company HQ

City of London, London, UK

Founders

Founder of HipDial. Former Software Engineer at Starling Bank.


People progressing

Joined in the Customer Operations team. Moved to be a Financial Crime Analyst after 5 months. Then moved again to be a Business Analyst after 2.5 years. Currently working as a Senior Product Manager.

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