Hello, we’re Starling. 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 3,500 people across our London, Southampton, Cardiff and Manchester offices.
This role sits in the Quantitative Analytics pillar of the IRRBB team within Treasury. We are a small but growing team that focuses on behavioural modelling of the Bank’s evolving balance sheet. We are at the intersection of Finance, Risk and Data Science, combining aspects of all three disciplines in our work and acting as technical experts with deep financial and programming skills.
The IRRBB team is part of Treasury, where we manage liquidity, funding, interest rate risk and structural risks using cash, investment securities, interest rate derivatives and foreign exchange. The Analyst will primarily focus on ALM but will also have the opportunity to closely collaborate with other Treasury areas through their modelling work.
This is a permanent role in the team to continue building capacity, and you will be a key driver in the development, implementation, and maintenance of the behavioural models used through the Bank.
Key Responsibilities
- Developing, testing, and documenting behavioural models and related processes within the Bank
- Monitoring model performance and customer behaviour
- Developing and expanding our internal quantitative Python library tools
- Collaborating with IRRBB colleagues on behavioural assumption changes
- Generating insightful analysis on Bank products and customer segments
- Running and maintaining Interest Rate Risk models in accordance with Bank policy
- Supporting the wider Finance team with interest rate risk hedging strategies
- Providing quantitative modelling support throughout the Treasury team
Requirements
- Experience with economic, financial risk and/or behavioural modelling
- Knowledge of Treasury functionality in highly preferred
- Graduate level education with a numerical degree (e.g. Maths, Physics, Economics)
- Strong technical skills of data handling and manipulation
- Excellent programming knowledge, particularly in Python and SQL
- The desire to use both traditional statistical modelling and applied machine learning
- A problem solver with strong quantitative skills
- The ability to distil complex ideas for presentation to a broad audience
- Experience with developer tools such as GitHub and platforms such as GCP, AWS
Benefits
- 25 days holiday (plus take your public holiday allowance whenever works best for you)
- An extra day’s holiday for your birthday
- Annual leave is increased with length of service, and you can choose to buy or sell up to five extra days off
- 16 hours paid volunteering time a year
- Salary sacrifice, company enhanced pension scheme
- Life insurance at 4x your salary
- Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton
- Generous family-friendly policies
- Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks
- Access to initiatives like Cycle to Work and Salary Sacrificed Gym partnerships
About Us
You may be put off applying for a role because you don't tick every box. Forget that! While we can’t accommodate every flexible working request, we're always open to discussion. So, if you're excited about working with us, but aren’t sure if you're 100% there yet, get in touch anyway.
We’re on a mission to radically reshape banking – and that starts with our brilliant team. Whatever came before, we’re proud to bring together people of all backgrounds and experiences who love working together to solve problems.
Starling Bank is an equal opportunity employer, and we’re proud of our ongoing efforts to foster diversity & inclusion in the workplace. Individuals seeking employment at Starling Bank are considered without regard to race, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law.
By submitting your application, you agree that Starling Bank may collect your personal data for recruiting and related purposes. Our Privacy Notice explains what personal information we may process, where we may process your personal information, its purposes for processing your personal information, and the rights you can exercise over our use of your personal information.
Skills Required
- Experience with economic, financial risk, or behavioral modeling
- Knowledge of Treasury functionality
- Graduate-level education with a numerical degree such as Mathematics, Physics, or Economics
- Strong technical skills in data handling and manipulation
- Excellent programming knowledge, particularly Python and SQL
- Interest in using traditional statistical modeling and applied machine learning
- Strong problem-solving and quantitative skills
- Ability to distill complex ideas for presentation to a broad audience
- Experience with developer tools such as GitHub and cloud platforms such as GCP or AWS
What We Do
Hello, we’re Starling. Banking was broken – so we decided to fix it. The vision? Fast technology, fair service and honest values. All at the tap of a phone, all the time. We built Britain’s first digital bank. One hard-won banking licence later, we set about giving people a new way to spend, save and manage their money (and take better care of the planet, too). We’re changing banking for good. Back then, we were obsessed with unravelling the knotty world of finance and solving people’s problems rather than selling them stuff. We still are. Since then, we’ve grown. A lot. Over three million accounts (and four account types!). A team of thousands. Headquartered in London with offices in Cardiff, Dublin, Manchester and Southampton. Five years voted Which? Recommended Provider and Britain's Best Banking Brand. Still zero branches. Our culture is open, inclusive and focused on solving real customer problems, with an emphasis on doing the right thing, even when it’s not always the easy thing. From our approach to working together and sustainability to how we build our products, our decisions need to make the world – and Starling – a better place to be. Everyone at Starling is essential to our mission, which is really quite simple: to solve our customer’s problems – and build the best bank in the world! And now we're providing Starling to other banks, via a Software-as-a-Service (SaaS) proposition through our subsidiary Engine, using the proprietary technology platform that it uses to power our own bank.
