At a Glance
- Tasks: Develop and test behavioural models while collaborating with a dynamic Treasury team.
- Company: Join Starling, a disruptive tech bank transforming how people manage their money.
- Benefits: Enjoy 25 days holiday, private medical insurance, and flexible working options.
- Other info: Diverse and inclusive workplace with excellent career growth opportunities.
- Why this job: Make a real impact in finance and data science at a fast-paced, innovative bank.
- Qualifications: Numerical degree and strong programming skills in Python and SQL required.
The predicted salary is between 50000 - 70000 € per year.
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
- Experience with economic, financial risk and/or behavioural modelling
- Knowledge of Treasury functionality is 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
- 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
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.
Treasury IRRBB Analyst: Quantitative Analytics in London employer: Starling Bank
At Starling Bank, we pride ourselves on being a forward-thinking employer that combines the best of banking with the innovative spirit of a tech company. Our collaborative work culture fosters growth and development, offering employees opportunities to engage in meaningful projects while enjoying generous benefits such as enhanced pension schemes, private medical insurance, and flexible holiday options. Located in vibrant cities like London, Southampton, Cardiff, and Manchester, we are committed to diversity and inclusion, ensuring that every team member feels valued and empowered to contribute to our mission of reshaping banking.
StudySmarter Expert Advice🤫
We think this is how you could land Treasury IRRBB Analyst: Quantitative Analytics in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Starling. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you've got a portfolio or projects that highlight your quantitative analytics prowess, share them. It’s a great way to demonstrate your capabilities beyond just a CV.
✨Tip Number 3
Prepare for the interview by diving deep into Starling's values and mission. Tailor your responses to show how your experience aligns with their innovative approach to banking.
✨Tip Number 4
Don’t hesitate to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in being part of the Starling team.
We think you need these skills to ace Treasury IRRBB Analyst: Quantitative Analytics in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your technical skills, especially in Python and SQL. We want to see how you can apply your programming knowledge to real-world problems, so don’t hold back!
Tailor Your Application:Take a moment to customise your application for the Treasury IRRBB Analyst role. Mention specific experiences that relate to behavioural modelling and financial risk – it’ll make you stand out to us!
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate well-structured responses that get straight to the heart of your experience and skills.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity.
How to prepare for a job interview at Starling Bank
✨Know Your Numbers
As a Treasury IRRBB Analyst, you'll need to demonstrate your understanding of economic and financial risk modelling. Brush up on key concepts and be ready to discuss how you would apply them in real-world scenarios. Use specific examples from your past experiences to showcase your quantitative skills.
✨Show Off Your Python Skills
Since strong programming knowledge, particularly in Python, is crucial for this role, make sure you can talk about your experience with it. Prepare to discuss any projects where you've developed or tested behavioural models using Python, and be ready to solve a coding challenge if asked.
✨Understand the Bank's Culture
Starling prides itself on being a disruptive tech company within the banking sector. Familiarise yourself with their mission and values, and think about how your personal values align with theirs. This will help you convey your enthusiasm for the role and the company during the interview.
✨Prepare for Collaboration Questions
Collaboration is key in this role, especially when working with the IRRBB team and other Treasury areas. Be prepared to share examples of how you've successfully collaborated in the past, particularly in cross-functional teams. Highlight your ability to distil complex ideas for a broad audience, as this will be essential in your interactions.
