Senior Data Analyst - Fraud and Fincrime Operations

London

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Monzo

Join over 9 million people with a Monzo bank account. Free current accounts, joint accounts and business banking for all! We make money work for everyone

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We're looking for a curious, adaptable Senior Data Analyst to join our Operations Analytics team at Monzo! You will partner with fincrime and fraud operation owners to identify key problem statements, develop and maintain a dashboarding suite that effectively showcases the impact of our operations activity. You will also partner with the operations team to ensure the validity of the data schema and finally you will encourage a healthy debate on how to improve the effectiveness of performance marketing activity. You’ll be the voice of data for our marketing department. 

At Monzo, we're building a bank that is fair, transparent and a delight to use. We’re growing extremely fast and have over four and half million customers in the UK, with over 100,000 new people joining every month. We’ve built a product that people love and more than 80% of our growth comes from word of mouth and referrals

Data at Monzo

Our Data team's mission is to

Enable Monzo to Make Better Decisions, Faster

At the core of this mission sits our data platform. We're great believers in powerful, real-time analytics and empowerment of the wider business. Every engineer at Monzo is responsible for collection of relevant analytics events from their microservices. We optimise for simplicity and re-usability – all our data lives in one place and is made available via our data warehouse in Google BigQuery. 90% of day-to-day data-driven decisions are covered by self-serve analytics through Looker which gives data scientists the head space to focus on more impactful business questions and analyses.

Our technology stack

We rely heavily on the following tools and technologies (note we do not expect applicants to have prior experience of all them):

  • Google Cloud Platform for all of our analytics infrastructure
  • dbt and BigQuery SQL for our data modelling and warehousing
  • Python for data science
  • Go to write our application code
  • AWS for most of our backend infrastructure

The Team

The  Fraud and Fincrime operations team is a large team which is responsible for understanding our customer support operations in these areas and improving our service to assure we are compliant, keep badness out and assure we are optimising our cost. 

The role

Working in the Fraud and Fincrime Operations you will:

  • Create dashboards to measure the performance of the the team and how well the team is tracking against the goals
  • Analyse and deep dive into the data and come up with impactful ideas on how we can optimise our work (e.g. can we save more cost? How well are we covering the work? Is there anything we are missing ? Are there any new trends we should be aware of?)
  • You will work with senior stakeholders and act as the leading data person for the area
  • integrate new data sources into our data warehouse
  • design, build and launch new data pipelines in production

 

You should apply if

  • You are excited about risk, fraud and fincrime and want to do analytical detective work with major impact on the business
  • you have strong SQL skills and are familiar with BigQuery and/or general data warehousing concepts
  • you are comfortable exploring potentially ambiguous business problems and enjoy finding technical solutions to them
  • you’re keen to learn more about new technologies and their application in retail banking
  • you strive for improvement, proactively identifying issues and opportunities and getting them prioritised

Nice to haves:

  • You have multiple years of analytics experience, preferably in a fast moving tech company or consultancy
  • Experience working within a risk & compliance environment

 

Logistics

Diversity and inclusion is a priority for us – if we want to solve problems for people around the world, our team has to represent our customers. So we need to attract the best talent and create an environment that supports and includes them. You can read more about diversity and inclusion on our blog.

If you prefer to work part-time, from home or as a job-share, we'll make this happen whenever we can - whether this is to help you meet other commitments or strike a great work-life balance.

Questions about this role? Head over to our careers page to read our FAQs (www.monzo.com/careers)

Equal Opportunity Statement

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

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: AWS Banking BigQuery Data pipelines Data warehouse Data Warehousing GCP Google Cloud Looker Microservices Pipelines Python SQL

Perks/benefits: Team events

Region: Europe
Country: United Kingdom
Job stats:  13  1  0
Category: Analyst Jobs

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