Analytics Engineering Manager, Core Banking
Analytics Engineering Manager, Core Banking

Analytics Engineering Manager, Core Banking

City of London Full-Time 84000 - 105000 £ / year (est.) No home office possible
Go Premium
Monzo Bank

At a Glance

  • Tasks: Lead a team of analytics engineers to enhance data management and drive impactful projects.
  • Company: Join Monzo, a forward-thinking bank revolutionising finance for everyone.
  • Benefits: Competitive salary, flexible working, learning budget, and relocation support.
  • Why this job: Shape the future of banking with innovative data solutions and a supportive team.
  • Qualifications: Experience in managing engineers and strong data warehousing skills.
  • Other info: Diversity and inclusion are at our core; all backgrounds are welcome.

The predicted salary is between 84000 - 105000 £ per year.

Analytics Engineering Manager, Core Banking

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 in the UK over the last 10 years, including personal and business bank accounts, joint accounts, accounts for 16-17 year olds, a free kids account and credit cards. 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.

London/Cardiff/UK Remote | £97,800 – £125,000 + Options + Benefits

Our Core Analytics Engineering Team

Our goal in Core Banking is to make everyday money work for everyone. We’re responsible for the current account used by over 12 million users. We create day-to-day money management experiences, including features like Trends, Salary Sorter, Bills Pots, and more. We build functionality for different audiences, including Joint Account users and Under 16 year olds. Our team builds Subscriptions, our paid upgrades that unlock extra benefits and functionality to help our customers make financial progress. We’re now gearing up for growth to 20 million customers. Our Analytics Engineering discipline works at the intersection of 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 goal of making 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 and ships with 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…

Working In a Multi-disciplinary Team, You Will

  • 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 and continuous feedback
  • 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, 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 (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. We’re committed to diversity and inclusion. 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 listed yet.

What’s In It For You

£97,800-£125,000

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 occasional 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 for books, training courses and conferences. We will provide Macbooks and, for fully remote workers, support for their work-from-home setup. Plus lots more. Read our full list of benefits.

The application journey

The application journey has four key steps: Recruiter Screening Call, Initial Call, Take Home Task, Final Loop (three sessions: case study, collaboration and people leadership). This process should take around 2-3 weeks. We have guidelines on using AI to ace an application and interview at Monzo. You’ll hear from us throughout the process. If you have questions, contact tech-hiring@monzo.com. You can also reach out to request accommodations for disability, neurodiversity, or other needs. For more insight into the AE team at Monzo, check out our podcast with John Azzopardi, one of our Senior Leaders in AE.

Equal opportunities for everyone

Diversity and inclusion are a priority for us and we’re committed to supporting all of our people to grow at Monzo. We’re an equal opportunity employer. All applicants will be considered without regard to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, veteran status, neurodiversity or disability status. If you have a preferred name, please use it to apply. We don’t require full or birth names at the application stage.

Seniority level

  • Mid-Senior level

Employment type

  • Full-time

Job function

  • Engineering and Information Technology
  • Industries
  • Banking

#J-18808-Ljbffr

Analytics Engineering Manager, Core Banking employer: Monzo Bank

At Monzo, we pride ourselves on being an exceptional employer that champions innovation and inclusivity in the banking sector. Our vibrant work culture fosters personal and professional growth, offering a generous learning budget and flexible working arrangements to ensure a healthy work-life balance. With a commitment to diversity and a focus on meaningful impact, we empower our employees to thrive while making money work for everyone.
Monzo Bank

Contact Detail:

Monzo Bank Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Analytics Engineering Manager, Core Banking

✨Tip Number 1

Get to know the company inside out! Research Monzo's mission, values, and recent projects. This will help you tailor your conversations and show that you're genuinely interested in being part of the team.

✨Tip Number 2

Network like a pro! Connect with current employees on LinkedIn or attend industry events. Building relationships can give you insider info and might even lead to a referral, which is always a bonus!

✨Tip Number 3

Prepare for those interviews! Think about how your experience aligns with the role of Analytics Engineering Manager. Be ready to discuss your leadership style and how you've developed high-performing teams in the past.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining Monzo and making a difference in the banking world.

We think you need these skills to ace Analytics Engineering Manager, Core Banking

Data Warehousing Architecture
Data Visualisation
ETL Projects
Big Data
Project Management
Team Leadership
Mentoring
Technical Initiatives
Data Governance
Collaboration
Analytical Skills
Problem-Solving Skills
Communication Skills
Adaptability

Some tips for your application 🫡

Tailor Your Application: Make sure to customise your CV and cover letter for the Analytics Engineering Manager role. Highlight your experience in data warehousing and team management, and show us how you can contribute to making money work for everyone at Monzo.

Show Your Passion: We love candidates who are genuinely excited about what we do! Share your enthusiasm for transforming banking and how your skills align with our mission. Let us know why you want to be part of our journey!

Be Clear and Concise: When writing your application, keep it straightforward. Use clear language and avoid jargon where possible. We appreciate a well-structured application that gets straight to the point while showcasing your achievements.

Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it makes tracking your application super easy for both of us.

How to prepare for a job interview at Monzo Bank

✨Know Your Data Stuff

Make sure you brush up on your data warehousing architecture and analytics engineering principles. Be ready to discuss your experience with big data, ETL projects, and any tools like dbt or BigQuery that you've used. This role is all about making data work for everyone, so show them you can do just that!

✨Show Your Leadership Skills

Since this position involves managing a team of engineers, be prepared to share examples of how you've mentored or developed high-performing teams in the past. Talk about your approach to giving feedback and supporting your team through challenges. They want to see that you can nurture talent and lead by example.

✨Understand the Company Culture

Familiarise yourself with Monzo's mission to simplify banking and create magical moments for customers. Think about how your values align with theirs and be ready to discuss how you can contribute to their goals. A good cultural fit is just as important as technical skills!

✨Prepare for the Application Journey

The interview process includes several steps, so make sure you're ready for each one. Review the case study and collaboration aspects, and think about how you can demonstrate your people leadership skills. Being well-prepared will help you stand out and show that you're serious about joining their team.

Analytics Engineering Manager, Core Banking
Monzo Bank
Location: City of London
Go Premium

Land your dream job quicker with Premium

You’re marked as a top applicant with our partner companies
Individual CV and cover letter feedback including tailoring to specific job roles
Be among the first applications for new jobs with our AI application
1:1 support and career advice from our career coaches
Go Premium

Money-back if you don't land a job in 6-months

>