Analytics Engineering - Team Lead; Fraud & AML

Starling is the UK’s first and leading digital bank on a mission to fix banking! We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way.

We’re a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We’re a bank, but better: fairer, easier to use and designed to demystify money for everyone. We employ more than 3,000 people across our London, Southampton, Cardiff and Manchester offices.

Our technologists are at the very heart of Starling and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do.

Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together!

The way to thrive and shine within Starling is to be a self-driven individual and be able to take full ownership of everything around you:
From building things, designing, discovering, to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five Starling values:
Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness.

We have a Hybrid approach to working here at Starling - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person.

Our Data teams are aligned to divisions covering the following Banking Services & Products, Customer Identity & Financial Crime and Data & ML Engineering. Our Data teams are excited about delivering meaningful and impactful insights to both the business and more importantly our customers. Hear from the team in our latest blogs or our case studies with Women in Tech.

We are looking for talented engineers at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to Starling. People with a broad ability to apply themselves to a multitude of problems and challenges, who can work across teams do great things here at Starling, to continue changing banking for good.

• Manage and develop a team of analytics engineers.
• Work closely with stakeholders to understand and prioritise key business needs.
• Own and improve a large analytics estate serving many different business functions.
• Lead and deliver multiple work streams end-to-end.
• Ensure quarterly priorities are delivered alongside standing work and ad hoc requests.
• Maintain Fraud & AML-related regular reporting.
• Support data science and ML model development and monitoring
• Extensive analytics engineering background with expert SQL and data modelling skills.
• Hands-on experience with dbt (or similar framework) to build well-structured, tested, and maintainable data models.
• Proficiency with Looker or a comparable BI tool.
• Track record of managing, supporting, and developing analytics engineers.
• Strong project management capabilities, including prioritising incoming work and delivering cross-functional data initiatives.
• Excellent communication and documentation abilities.
• Solid understanding of data governance and risk management.

• Experience working with fraud, AML or financial crime data
• Experience in a regulated financial services environment
• Experience with cloud data warehouses and CI/CD
• Ex…