Statistician/Operational Risk Data Analyst

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.

Hybrid Working

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. We don't like to mandate how much you visit the office and work from home, that's to be agreed upon between you and your manager. 

Our Data Environment

Our Data teams are excited about the value of data within the business, power our product decisions to improve things for our customers, and enhance effective and agile decision making, regardless of what their primary tech stack may be. Hear from the team in our latest blogs or our case studies with Women in Tech.

We are looking for talented data professionals 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.

Responsibilities:

• Lead the design of statistically robust processes and approaches across a broad range of applications
• Work with teams delivering data driven solutions to improve the speed, efficiency, and quality of decision-making at Starling
• Work proactively with data, engineering and wider tech teams to ensure that the most appropriate statistical methods are used to approach complex problems
• Communicate statistical concepts and the results of statistical analyses

• Experience and knowledge of statistical methods and applications in study design, analysis and interpretation
• Experience in the implementation of optimisation techniques
• Excellent skills in SQL and Python
• MSc or PhD in Statistics, Mathematics, Actuarial Science or similar field is highly desirable
• Strong data visualisation and communication skills are essential

Interview process

Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team:

• Stage 1 - 30 mins with one of the team
• Stage 2 - Take home challenge
• Stage 3 - 90 mins technical interview with two team members
• Stage 4 - 45 min final with an executive and a member of the people team