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- Tasks: Develop and validate complex financial models for Finance and Treasury.
- Company: A modern financial institution with a focus on innovation.
- Benefits: Competitive salary, flexible hybrid working model, and career growth opportunities.
- Why this job: Join a dynamic team and make an impact in financial modelling and data analytics.
- Qualifications: Strong background in quantitative financial modelling and coding skills in Python and R.
- Other info: Collaborate with stakeholders and contribute to regulatory processes.
The predicted salary is between 36000 - 60000 £ per year.
A modern financial institution seeks a financial model specialist to develop, validate, and implement complex financial models integral to their Finance and Treasury divisions.
Successful candidates will possess a strong background in quantitative financial modeling, coding experience (especially in Python and R), and robust data analysis skills.
The role entails collaboration with various stakeholders and contributions to regulatory processes.
A competitive salary and flexible hybrid working model are offered.
ALM Modelling & Data Analytics Lead employer: Aldermore Bank
Contact Detail:
Aldermore Bank Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ALM Modelling & Data Analytics Lead
✨Tip Number 1
Network like a pro! Reach out to professionals in the finance and data analytics space on LinkedIn. Join relevant groups and engage in discussions to get your name out there and learn about potential job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your financial models and data analysis projects. This will give you an edge during interviews, as you can demonstrate your coding prowess in Python and R.
✨Tip Number 3
Prepare for those interviews! Research common questions related to financial modelling and data analytics. Practise articulating your thought process when solving complex problems, as collaboration with stakeholders is key in this role.
✨Tip Number 4
Don’t forget to apply through our website! We regularly update our job listings, and applying directly can sometimes give you a better chance of landing that interview. Plus, it shows you're genuinely interested in joining our team!
We think you need these skills to ace ALM Modelling & Data Analytics Lead
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your quantitative financial modelling expertise and coding skills in Python and R. We want to see how your background aligns with the role, so don’t hold back on showcasing your experience!
Tailor Your Application: Customise your CV and cover letter to reflect the specific requirements mentioned in the job description. We love it when candidates take the time to connect their experiences directly to what we’re looking for.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your key achievements and skills stand out without unnecessary fluff.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Aldermore Bank
✨Know Your Models Inside Out
Make sure you can discuss your experience with financial models in detail. Be prepared to explain the methodologies you've used, the challenges you faced, and how you overcame them. This shows your depth of knowledge and practical application.
✨Show Off Your Coding Skills
Since coding in Python and R is crucial for this role, brush up on your coding skills before the interview. Be ready to discuss specific projects where you used these languages, and if possible, bring examples of your code or projects to demonstrate your expertise.
✨Prepare for Stakeholder Scenarios
Collaboration is key in this role, so think about past experiences where you worked with different stakeholders. Prepare to share examples of how you communicated complex financial concepts to non-technical audiences, as this will highlight your ability to bridge gaps between teams.
✨Understand Regulatory Processes
Familiarise yourself with the regulatory landscape relevant to financial modelling and data analytics. Be ready to discuss how your work aligns with compliance requirements and how you’ve contributed to regulatory processes in previous roles.
