Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop and implement models for asset-liability forecasting and interest rate risk management.
- Company: Join a leading global financial institution with a strong reputation in the finance sector.
- Benefits: Enjoy competitive salary, professional development opportunities, and a collaborative work environment.
- Why this job: Make a real impact in Treasury Finance while working with cutting-edge statistical techniques.
- Qualifications: Strong background in ALM or Treasury modelling and solid Python programming skills required.
- Other info: This role is based in London and offers a chance to work with top-tier professionals.
The predicted salary is between 48000 - 72000 £ per year.
We’re working with a leading global financial institution seeking an experienced ALM Quantitative Analyst (AVP level) to join their Treasury Quantitative Analytics team in London. This is a high-impact role supporting Treasury Finance by developing statistical models to forecast behavioural asset and liability balances—key to managing interest rate risk.
Key Responsibilities:
- Develop and implement quantitative models for asset-liability forecasting and interest rate risk management.
- Utilise advanced econometric and statistical techniques such as time series analysis and regression modelling.
- Translate complex technical concepts for both technical and non-technical stakeholders.
- Write robust, production-ready Python code and partner with technology teams to operationalise models.
- Ensure models are compliant with internal governance and model risk frameworks.
- Provide ongoing model validation, documentation, and performance monitoring.
Ideal Candidate Will Have:
- Strong background in ALM or Treasury modelling, particularly behavioural balance forecasting.
- Deep knowledge of statistical/econometric methods.
- Solid Python programming skills and experience handling large datasets.
- Clear and confident communicator, able to bridge the technical and business gap.
Quantitative Analyst employer: Radley James
Contact Detail:
Radley James Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Analyst
✨Tip Number 1
Familiarise yourself with the latest trends in asset-liability management (ALM) and interest rate risk. Understanding current market conditions and how they affect forecasting will give you an edge in discussions during interviews.
✨Tip Number 2
Brush up on your Python skills, especially in relation to data handling and model implementation. Consider working on personal projects or contributing to open-source projects that showcase your ability to write production-ready code.
✨Tip Number 3
Prepare to explain complex statistical concepts in simple terms. Practising how to communicate technical information clearly will help you stand out, especially since the role requires bridging the gap between technical and non-technical stakeholders.
✨Tip Number 4
Network with professionals in the financial sector, particularly those involved in Treasury and ALM roles. Attend industry events or webinars to make connections and gain insights that could be beneficial during your application process.
We think you need these skills to ace Quantitative Analyst
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities of a Quantitative Analyst in Treasury. Familiarise yourself with asset-liability management and interest rate risk concepts to tailor your application effectively.
Highlight Relevant Experience: In your CV and cover letter, emphasise your experience with ALM modelling and statistical techniques. Provide specific examples of projects where you've developed quantitative models or used Python for data analysis.
Showcase Communication Skills: Since the role requires translating complex concepts for various stakeholders, include examples in your application that demonstrate your ability to communicate technical information clearly and effectively.
Tailor Your Application: Customise your CV and cover letter to reflect the specific skills and experiences mentioned in the job description. Use keywords from the posting to ensure your application stands out to hiring managers.
How to prepare for a job interview at Radley James
✨Brush Up on Your Technical Skills
Make sure you're well-versed in the statistical and econometric techniques mentioned in the job description, such as time series analysis and regression modelling. Be prepared to discuss how you've applied these methods in previous roles.
✨Showcase Your Python Proficiency
Since solid Python programming skills are essential for this role, be ready to demonstrate your coding abilities. You might be asked to solve a problem or explain your approach to writing production-ready code.
✨Prepare to Communicate Complex Concepts
As a Quantitative Analyst, you'll need to translate complex technical concepts for various stakeholders. Practice explaining your past projects in simple terms, focusing on how your work impacted the business.
✨Understand Model Governance and Risk Frameworks
Familiarise yourself with internal governance and model risk frameworks relevant to the financial sector. Be prepared to discuss how you ensure compliance in your modelling work and the importance of ongoing validation and performance monitoring.
