At a Glance
- Tasks: Develop and implement behavioural models for managing interest rate risk.
- Company: Join Starling Bank, a leader in innovative banking solutions.
- Benefits: Permanent position with competitive salary and growth opportunities.
- Other info: Collaborative team environment focused on insightful analyses.
- Why this job: Make a real impact in financial modelling and analytics.
- Qualifications: Graduate-level education in a numerical field and strong Python/SQL skills.
The predicted salary is between 50000 - 70000 € per year.
Starling Bank is looking for an Analyst in Quantitative Analytics to join their IRRBB team within Treasury. This role focuses on developing and implementing behavioural models vital for managing interest rate risk.
Ideal candidates will have a graduate-level education in a numerical field and strong programming skills in Python and SQL. You will be responsible for model performance monitoring, collaborating with colleagues, and generating insightful analyses of banking products.
The position is permanent and aims to enhance the team's capability in financial modelling.
IRRBB & Treasury Quant Analyst - Behavioural Modelling in London employer: Starling Bank
Starling Bank is an exceptional employer that fosters a dynamic and innovative work culture, where employees are encouraged to collaborate and grow. With a strong focus on professional development, the IRRBB & Treasury Quant Analyst role offers opportunities to enhance your skills in quantitative analytics while contributing to impactful projects in the financial sector. Located in a vibrant city, Starling Bank provides a supportive environment that values diversity and promotes work-life balance, making it an ideal place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land IRRBB & Treasury Quant Analyst - Behavioural Modelling in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Starling Bank on LinkedIn. A friendly chat can give us insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a mini-project using Python or SQL that showcases your analytical abilities. Bring it up in interviews to demonstrate your hands-on experience.
✨Tip Number 3
Stay updated on industry trends! Read up on the latest in interest rate risk management and behavioural modelling. This will help us impress during interviews with our knowledge.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace IRRBB & Treasury Quant Analyst - Behavioural Modelling in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your relevant skills in quantitative analytics, especially your programming prowess in Python and SQL. We want to see how your background aligns with the role, so don’t be shy about showcasing your experience in behavioural modelling!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about interest rate risk and how you can contribute to our IRRBB team. We love seeing candidates who can connect their personal experiences to the role.
Showcase Your Analytical Skills:In your application, include examples of your analytical work or projects that demonstrate your ability to generate insightful analyses. We’re looking for candidates who can think critically and provide valuable insights into banking products.
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 shows us you’re keen on joining our team!
How to prepare for a job interview at Starling Bank
✨Know Your Numbers
Make sure you brush up on your quantitative skills. Be prepared to discuss your experience with behavioural modelling and how it relates to interest rate risk. Having specific examples ready will show that you understand the complexities of the role.
✨Show Off Your Coding Skills
Since strong programming skills in Python and SQL are essential, be ready to demonstrate your proficiency. You might be asked to solve a coding problem or explain a project where you used these languages. Practising common algorithms or data manipulation tasks can give you an edge.
✨Collaborate Like a Pro
This role involves working closely with colleagues, so highlight your teamwork skills. Think of examples where you successfully collaborated on projects, especially in a quantitative context. Showing that you can communicate complex ideas clearly will impress the interviewers.
✨Prepare Insightful Questions
At the end of the interview, you'll likely have the chance to ask questions. Prepare thoughtful queries about the team's current projects or the tools they use for model performance monitoring. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
