Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Optimise asset portfolios and develop Python-based analytical tools for investment strategies.
- Company: International life insurer with a focus on innovation and collaboration.
- Benefits: Competitive salary, professional development, and a dynamic work environment.
- Other info: Exciting opportunities for career growth and collaboration with diverse teams.
- Why this job: Join a leading firm and make a real impact in the insurance investment sector.
- Qualifications: Degree in a quantitative field, strong Python skills, and experience in ALM or modelling.
The predicted salary is between 50000 - 70000 £ per year.
An international life insurer is looking for an Investment Structuring Analyst to join its London office. The successful candidate will optimise asset portfolios under Bermudan and European insurance regulations, develop and administer Python-based analytical tools, and support the creation and modelling of efficient asset structures and derivative hedging instruments.
Key Responsibilities
- Optimise asset returns on capital under multiple regulatory frameworks.
- Develop and maintain Python tools, improving accuracy and operational efficiency.
- Build and maintain model office scripts to transform financial data for analysis.
- Enhance investment tools and processes, working closely with the Data & Analytics team.
- Support collaboration with investment sub-teams and finance.
- Produce asset cash flow projections for private assets.
- Contribute to strategic projects as required.
Requirements
- Degree or postgraduate qualification in a quantitative discipline.
- Ideally you'll have experience in ALM or quantitative modelling within banking or insurance.
- Strong Python programming and SQL database skills.
- Knowledge of asset & liability modelling and interest rate derivatives.
- Self-motivated, with excellent stakeholder management and collaboration skills.
- Ideally you'll be a part qualified actuary/CFA with 3-6 years of experience.
- You must be eligible to work in the UK and have insurance experience.
Investment Structuring Analyst - Insurance in London employer: Orange Malone
Contact Detail:
Orange Malone Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Investment Structuring Analyst - Insurance in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the insurance and finance sectors on LinkedIn. Join relevant groups and participate in discussions to get your name out there and show off your knowledge.
✨Tip Number 2
Prepare for interviews by brushing up on your Python skills and understanding asset & liability modelling. Be ready to discuss how you can optimise asset portfolios and contribute to strategic projects, as these are key for the role.
✨Tip Number 3
Showcase your analytical tools! If you've developed any Python-based tools or scripts, be sure to mention them during interviews. This will demonstrate your hands-on experience and problem-solving abilities.
✨Tip Number 4
Don’t forget to 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 Investment Structuring Analyst - Insurance in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Investment Structuring Analyst role. Highlight your Python programming, SQL skills, and any relevant experience in ALM or quantitative modelling to catch our eye!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about the role and how your background aligns with our needs. Don’t forget to mention your experience with asset portfolios and regulatory frameworks.
Showcase Your Analytical Skills: Since this role involves developing analytical tools, be sure to include examples of your past work with Python-based tools or financial data analysis. We love seeing how you’ve used your skills to improve processes or outcomes!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Orange Malone
✨Know Your Numbers
Make sure you brush up on your quantitative skills before the interview. Be prepared to discuss your experience with asset and liability modelling, as well as any relevant projects you've worked on that involved optimising asset returns under different regulatory frameworks.
✨Show Off Your Python Skills
Since the role involves developing and maintaining Python tools, be ready to talk about your programming experience. Bring examples of how you've used Python in previous roles, especially in creating analytical tools or improving operational efficiency.
✨Collaboration is Key
Highlight your stakeholder management and collaboration skills during the interview. Think of specific instances where you've worked closely with teams, particularly in finance or data analytics, to achieve a common goal. This will show that you're a team player who can contribute effectively.
✨Prepare for Technical Questions
Expect technical questions related to interest rate derivatives and cash flow projections. Brush up on these topics and be ready to explain complex concepts clearly. This will demonstrate your expertise and confidence in the field.