At a Glance
- Tasks: Enhance behavioural modelling and support Finance with hedging strategies.
- Company: Join Starling, a forward-thinking company in the finance sector.
- Benefits: Enjoy competitive pay, generous holidays, and wellness support.
- Other info: Dynamic role with opportunities for professional growth.
- Why this job: Make an impact in quantitative analytics and collaborate across teams.
- Qualifications: Numerical degree, financial modelling experience, and strong Python/SQL skills.
The predicted salary is between 50000 - 65000 € per year.
Starling is looking for a permanent Analyst in Quantitative Analytics to enhance behavioural modelling within the IRRBB team. This role involves developing and documenting models, monitoring performance, and supporting the Finance team with hedging strategies.
Ideal candidates have a numerical degree, experience in financial modelling, and strong Python and SQL skills. The role champions collaboration across Treasury to produce insightful analyses and model adjustments.
In addition to competitive pay, Starling offers numerous employee benefits including generous holiday allowances and wellness support.
IRRBB Quantitative Analytics & ALM Modelling Analyst in London employer: Starling
Starling is an exceptional employer that fosters a collaborative work culture, particularly within the IRRBB team, where analysts are empowered to develop and document innovative models. With a focus on employee well-being, generous holiday allowances, and opportunities for professional growth, Starling provides a rewarding environment for those passionate about quantitative analytics in the heart of the finance sector.
StudySmarter Expert Advice🤫
We think this is how you could land IRRBB Quantitative Analytics & ALM Modelling Analyst in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Starling on LinkedIn. A friendly chat can give us insider info about the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio of your financial modelling projects, especially those using Python and SQL. This will help us demonstrate our expertise during interviews.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions related to quantitative analytics and ALM modelling. We can even do mock interviews with friends to boost our confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure our application gets noticed. Plus, we can tailor our application to highlight how our skills align with the role at Starling.
We think you need these skills to ace IRRBB Quantitative Analytics & ALM Modelling Analyst in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your numerical degree and any relevant experience in financial modelling. We want to see your strong Python and SQL skills shine through in your application!
Tailor Your Application:Don’t just send a generic CV and cover letter. Take the time to tailor your application to the IRRBB team and the specific role. We love seeing candidates who understand what we do and how they can contribute.
Be Clear and Concise:When documenting your experience, keep it clear and concise. We appreciate straightforward communication, so make sure your application is easy to read and gets straight to the point.
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’s super easy!
How to prepare for a job interview at Starling
✨Know Your Numbers
Make sure you brush up on your financial modelling skills and be ready to discuss specific examples from your experience. Starling is looking for someone who can demonstrate a strong grasp of quantitative analytics, so prepare to showcase your numerical degree and any relevant projects you've worked on.
✨Python and SQL Proficiency
Since the role requires strong Python and SQL skills, be prepared to answer technical questions or even solve problems on the spot. Practise coding challenges and be ready to explain your thought process clearly. This will show that you not only know the languages but can also apply them effectively in real-world scenarios.
✨Collaboration is Key
Starling values teamwork, especially within the Treasury department. Think of examples where you've successfully collaborated with others to achieve a common goal. Be ready to discuss how you can contribute to enhancing behavioural modelling and support the Finance team with hedging strategies.
✨Ask Insightful Questions
Prepare thoughtful questions about the role and the company. This shows your genuine interest in the position and helps you understand how you can fit into their team. Ask about their current modelling techniques or how they measure performance, which will demonstrate your enthusiasm for the role and the industry.
