Treasury IRRBB Analyst: Quantitative Analytics
Job in
London, Greater London, W1B, England, UK
Listed on 2026-09-03
Listing for:
Starling Bank
Full Time
position Listed on 2026-09-03
Job specializations:
-
Finance & Banking
Financial Analyst, Data Scientist, Financial Advisor / Consultant, Risk Manager/Analyst
Job Description & How to Apply Below
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 SQLThe 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 Git Hub 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 Vitality Health 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 UsYou 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.
Job Summary ID: 77F198 D9
DC Department:
Corporate Functions, Finance
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