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- Tasks: Join a dynamic team to build models for pricing and risk analysis in structured credit.
- Company: A leading global investment manager known for academic rigor and technical excellence.
- Benefits: Enjoy a collaborative environment with opportunities for remote work and professional growth.
- Why this job: Make an immediate impact while learning from top-tier professionals in a high-performing platform.
- Qualifications: 4-8 years in quantitative modelling, strong Python skills, and a solid academic background required.
- Other info: Visa sponsorship available for global candidates eager to relocate to London.
The predicted salary is between 48000 - 84000 £ per year.
Job Description
We’re working exclusively with aleading global investment managerlooking to add aQuantitative Analystto their structured credit team in London. This is a rare opportunity to join ahighly regarded team rooted in rigorous academic research and technical excellence, offering direct exposure to portfolio decision-making and strong visibility across the business. You'll be working alongside some of the most respected professionals in the space, with the opportunity to both contribute meaningfully and develop under top-tier talent. The environment is collaborative, intellectually demanding, and offers genuine long-term growth.
The Opportunity:
This role sits within the firm’s structured credit investment team and focuses on building models and tools to support pricing, risk management, and scenario analysis across securitised products including RMBS, CMBS, ABS, and CLOs. You’ll work closely with portfolio managers and traders, providing real-time analytics and quantitative insight to inform investment decisions. You’ll be joining a high-performing platform with a strong track record in structured credit, where your contributions will have immediate impact and where innovation is actively encouraged
Key Responsibilities:
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- Build and maintain quantitative models for pricing and risk analysis of structured credit instruments
- Develop tools for scenario and sensitivity analysis to support portfolio management
- Collaborate with investment and risk teams to enhance analytics infrastructure
- Assist in automating workflows and improving the efficiency of internal modelling processes
- Contribute to investment discussions with data-driven insights and support portfolio decision-making
What We’re Looking For:
-
- 4–8 years’ experience in quantitative modelling or analytics, ideally with a focus on securitised products (RMBS, CMBS, ABS, CLOs, etc.)
- Solid programming skills in Python (or similar languages used for model development)
- Experience in structured credit analytics within a buy-side, sell-side, or rating agency environment
- Strong academic background in a quantitative or technical field (e.g., mathematics, physics, engineering, computer science)
- Excellent problem-solving skills and the ability to communicate complex ideas clearly
- A collaborative mindset with a passion for financial markets and investment strategy
The firm is open to candidates globally andcan sponsor visasfor those interested in relocating to London. This is a high-impact opportunity for someone looking to take ownership of quantitative modelling within atop-tier investment teamat the forefront of global structured credit investing.
To apply please send your cv to
quantresearch@octaviusfinance.com.
Quantitative Analyst - Structured Credit | Leading Global Investment Manager - London - eFinancia... employer: eFinancialCareers
Contact Detail:
eFinancialCareers Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Analyst - Structured Credit | Leading Global Investment Manager - London - eFinancia...
✨Tip Number 1
Network with professionals in the structured credit space. Attend industry conferences, webinars, or local meetups to connect with people who work in similar roles. This can help you gain insights into the company culture and potentially get a referral.
✨Tip Number 2
Familiarise yourself with the latest trends and developments in structured credit. Read relevant research papers, articles, and market analyses to demonstrate your knowledge during interviews. This will show your genuine interest and commitment to the field.
✨Tip Number 3
Brush up on your programming skills, particularly in Python. Consider working on personal projects or contributing to open-source projects that involve quantitative modelling. This practical experience can set you apart from other candidates.
✨Tip Number 4
Prepare for technical interviews by practising problem-solving questions related to quantitative analysis and financial modelling. Use platforms like LeetCode or HackerRank to sharpen your skills and get comfortable with coding challenges.
We think you need these skills to ace Quantitative Analyst - Structured Credit | Leading Global Investment Manager - London - eFinancia...
Some tips for your application 🫡
Understand the Role: Before applying, make sure to thoroughly understand the responsibilities and requirements of the Quantitative Analyst position. Familiarise yourself with structured credit products like RMBS, CMBS, ABS, and CLOs, as well as the skills needed for quantitative modelling.
Tailor Your CV: Craft your CV to highlight relevant experience in quantitative modelling or analytics, particularly in securitised products. Emphasise your programming skills in Python or similar languages, and showcase any previous work in structured credit analytics.
Write a Compelling Cover Letter: Your cover letter should reflect your passion for financial markets and investment strategy. Discuss how your background aligns with the role and express your enthusiasm for contributing to a high-performing team. Be sure to mention any specific projects or achievements that demonstrate your problem-solving skills.
Proofread and Submit: Before submitting your application, carefully proofread all documents to ensure there are no errors. Make sure your CV and cover letter are formatted correctly and that all required information is included. Submit your application through our website to ensure it reaches the right hands.
How to prepare for a job interview at eFinancialCareers
✨Showcase Your Technical Skills
Make sure to highlight your programming skills, especially in Python or similar languages. Be prepared to discuss specific projects where you've built quantitative models or tools, as this will demonstrate your hands-on experience and technical expertise.
✨Understand Structured Credit Products
Familiarise yourself with the different types of securitised products like RMBS, CMBS, ABS, and CLOs. Being able to discuss these products intelligently will show that you have a solid grasp of the field and can contribute meaningfully to investment discussions.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your problem-solving abilities. Practice articulating your thought process clearly when tackling complex quantitative problems, as this will showcase your analytical skills and ability to communicate effectively.
✨Demonstrate a Collaborative Mindset
Since the role involves working closely with portfolio managers and traders, emphasise your collaborative experiences. Share examples of how you've successfully worked in teams to achieve common goals, which will align with the firm's culture of collaboration and innovation.