At a Glance
- Tasks: Develop and test behavioural models while collaborating with a dynamic Treasury team.
- Company: Join Starling Bank, a tech-driven bank reshaping the financial landscape.
- 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, risk, and data science with innovative modelling.
- Qualifications: Graduate in a numerical field with strong Python and SQL skills.
The predicted salary is between 50000 - 60000 € 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
Qualifications
- 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
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.
About Us
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.
Treasury IRRBB Analyst: Quantitative Analytics employer: Starling Bank Limited
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 that shape the future of finance. With generous benefits, including flexible holiday options and a commitment to diversity and inclusion, we create an environment where every team member can thrive and contribute to our mission of transforming banking for everyone.
StudySmarter Expert Advice🤫
We think this is how you could land Treasury IRRBB Analyst: Quantitative Analytics
✨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 any projects that highlight your quantitative analytics prowess, make sure to share them during interviews. It’s all about proving you can walk the walk.
✨Tip Number 3
Prepare for the technical stuff! Brush up on your Python and SQL skills, and be ready to discuss how you've used them in real-world scenarios. They want to see you in action!
✨Tip Number 4
Don’t hesitate to apply through our website! Even if you don’t tick every box, we value enthusiasm and potential. Just show us why you’re excited about joining the Starling team!
We think you need these skills to ace Treasury IRRBB Analyst: Quantitative Analytics
Some tips for your application 🫡
Show Your Passion for Data:When writing your application, let us see your enthusiasm for quantitative analytics and data science. Share specific examples of how you've used your skills in Python or SQL to solve real-world problems. We love seeing candidates who are genuinely excited about the role!
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter to highlight your relevant experience in economic and financial risk modelling. Use keywords from the job description to show that you understand what we're looking for. This helps us see how you fit into our team!
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and overly complex language. Make it easy for us to understand your qualifications and how they relate to the role. Remember, less is often more!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our culture and values while you're at it!
How to prepare for a job interview at Starling Bank Limited
✨Know Your Numbers
As a Treasury IRRBB Analyst, you'll be dealing with financial risk and behavioural modelling. Brush up on your quantitative skills and be ready to discuss specific models you've worked on. Prepare examples that showcase your understanding of economic principles and how they apply to banking.
✨Show Off Your Python Skills
Since strong programming knowledge in Python is crucial for this role, make sure you can talk about your experience with it. Bring along examples of projects where you've developed or tested models using Python, and be prepared to discuss any libraries or tools you've used.
✨Understand the Bigger Picture
This role sits at the intersection of Finance, Risk, and Data Science. Familiarise yourself with how these areas interact within a bank. Be ready to explain how your work in quantitative analytics can impact liquidity and interest rate risk management.
✨Be Ready to Collaborate
Collaboration is key in this role, so think about times you've worked in teams. Prepare to discuss how you’ve communicated complex ideas to non-technical colleagues and how you’ve contributed to team projects, especially in relation to behavioural assumptions and model performance.
