Job Description

London /UK Remote | Benefits

About us:

We\'re here to make money work for everyone and we\'re doing things differently. For too long, banking has been obtuse, complex and opaque.

We want to change that and build a bank with everyone, for everyone. Our amazing community suggests features, test the app and give us constant feedback so we can build something everyone loves.

We\'re focused on solving problems, rather than selling financial products. We want to make the world a better place and change people\'s lives through Monzo.

About our Team:

Our Analytics Engineering discipline works in the intersection between data, engineering and our collectives - Money, Borrowing, Operations and Financial Crime and beyond. The 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.

We\'re looking for a leader to grow and develop our Analytics Engineering talent, cultivating high-performing teams and coordinating larger initiatives. As part of this you\'ll have the opportunity to guide engineers across Payments or Fincrime, helping shape our pipelines and models. We think Analytics Engineering and data visualisation go hand in hand, so we\'re looking for someone interested in mentoring engineers and guiding direction across both areas.

Managers within Data have two primary responsibilities; people and technical product. 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 all of our data discipline and helping bring a new level of maturity around Data Governance principles, working in collaboration with others to deliver this.

We are at an exciting stage in our growth and have roles available in both our Payments and Fincrime teams, so do let us know if you\'re interested in a specific area.

Your day-to-day

Working in a multi-disciplinary team, you will:

• Be a hands on leader in building a discipline of exceptional analytics and BI engineers, working to make Data at Monzo the gold standard within the industry.
• Nurture between 2 and 5 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 the Analytics Engineering and Business Intelligence group.
• Work closely with other leads to deliver a scalable, consistent approach to governance and best practices.
• Drive effective project management of central Analytics Engineering & BI 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.

You should apply if:

• You have experience managing or mentoring the performance and development of high-performing engineers.
• 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, fraud or accounting function
• Experience working in a highly regulated environment (e.g. finance, insurance, 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)
• Experience with either BigQuery or Snowflake

The interview process:

Our interview process involves 2 main stages:

• Initial Call
• Final Stage

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 but if you do have any specific questions ahead of this please contact us on tech-hiring@monzo.com

What\'s in it for you:

- 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

Equal Opportunity Statement

We are actively creating an equitable environment for every Monzonaut to thrive.

Diversity and inclusion are a priority for us and we are making sure we have lots of support for all of our people to grow at Monzo. At Monzo, embracing diversity in all of its forms and 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 , 2022 Diversity and Inclusion Report and 2022 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.

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