Analytics Engineering Manager, FinCrime

Monzo; United States; Hybrid; USD 131,000 - 168,000; Full time

Benefits offered by this job

Relocation support

Visa sponsorship

London office option

Distributed UK work model

Flexible hours

£1,000 learning budget

Home-office setup support

Job summary

Monzo is seeking an Analytics Engineering Manager for Fincrime to lead a team of analytics engineers, shaping the data architecture and governance across the function. You will champion best practices, drive scalable data solutions, and balance hands-on work with strategic leadership.

You’ll mentor engineers, hire top talent, and collaborate with other leads to align data initiatives with business goals while ensuring timely delivery and high-quality outcomes.

Qualifications

• Experience managing or mentoring the performance and development of engineers.
• Strong experience in data warehousing architecture at scale.
• Experience leading data warehousing, data visualization, big data or ETL projects as an analyst, developer, designer or architect.
• Know what it takes to hire great engineers within the data space.
• Comfortable working hands-on and leading a team.

Responsibilities

• Lead and develop a discipline of analytics engineers.
• Coach and support 5–6 engineers through regular 1:1s and feedback.
• Prioritize initiatives with other data leads and collectives.
• Contribute to review cycles, architecture, and pipeline development.
• Participate in hiring within Analytics Engineering.
• Collaborate to deliver governance and best practices across data teams.
• Own project management for central Analytics Engineering initiatives.
• Be a trusted partner to collectives and leadership; contribute hands-on or through leadership as needed.
• Support pipelines and be on-call for out-of-hours as required.

Skills

People management

Mentoring

Data warehousing

ETL

Leadership

Hiring

Tools

dbt

BigQuery

Looker

Job description

We're on a mission to make money work for everyone.

We're waving goodbye to the complicated and confusing ways of traditional banking.

After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as personal and business bank accounts, we offer joint accounts, accounts for 16-17 year olds, a free kids account and credit cards in the UK, with more exciting things to come beyond. Our UK customers can also save, invest and combine their pensions with us.

With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers!

We're not about selling products - we want to solve problems and change lives through Monzo

Analytics Engineering Manager - Fincrime

London/Cardiff/UK Remote | £97,800-£125,000 + Incentive Awards tied to your performance and benefits | Hear from the team

Our Fincrime Analytics Engineering Team

Our Financial Crime Collective helps keep Monzo and our customers safe. We build effective, proportionate controls to protect against financial crime while delivering great customer outcomes.

Our Analytics Engineering discipline works in the intersection between data, engineering and our collectives - Core, 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 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...

• Be a hands-on leader in building a discipline of exceptional analytics engineers working to make Data at Monzo the gold standard within the industry
• Nurture between 5 to 6 analytics 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 that’s listed just yet.

What’s in it for you

• £97,800-£125,000 + Incentive Awards tied to your performance and 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.

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

Equal opportunities for everyone

Diversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we’re embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog, 2026 Diversity and Inclusion Report and 2025 Gender Pay Gap Report.

We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status.