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For Companies At a Glance
- Tasks: Join a dynamic team to evaluate deals and enhance credit models.
- Company: A leading global investment manager with a strong track record in securitised products.
- Benefits: Enjoy significant responsibility, global talent opportunities, and full visa sponsorship.
- Why this job: Gain direct exposure to investment decision-making and work in a collaborative environment.
- Qualifications: 4-8 years in quantitative modelling, strong Python skills, and a quantitative degree required.
- Other info: This role offers a chance to grow into an investment-facing position.
The predicted salary is between 43200 - 72000 £ per year.
Job Description
We’re working exclusively with a leading global investment manager looking to add aQuantitative Analystto theirstructured credit teamin London. This is a rare opportunity to join a top-performing investment platform with a longstanding track record in securitised products, known for its rigorous academic culture, innovative mindset, and close integration with portfolio management.
This team offers exceptional visibility across the business and real exposure to investment decision-making – not a back-office modelling role, but one where your insights influence how capital is deployed
The Role:
Sitting directly alongsidePMs and traders, you will play a key role indeal evaluation, structuring and portfolio analytics. This is a hands-on, data-heavy role requiring you tobuild, maintain and optimise modelsused for pricing, risk, and scenario analysis acrossstructured creditandprivate credit solutions, including:
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- RMBS, CMBS, ABS, CLOs
- Asset-backed and corporate credit financing
- Risk transfer and capital solutions
You will work acrossdeal sourcing, due diligence, and ongoing portfolio monitoring, supporting investment activity with quantitative insights and tooling
Key Responsibilities:
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- Build and enhancecashflow and risk modelsfor structured credit investments
- Develop tools forscenario analysis, sensitivity testing, and deal-level modelling
- Partner with PMs and deal teams to deliver data-driven investment insights
- Contribute todeal evaluation, including assessment ofstructure complexity,data sources, andvendor models
- Assist in automating analytics workflows, moving from spreadsheet-based toPython-based frameworks
- Apply advanced techniques includingconditional probability,regression,Monte Carlo simulation, andoptimisation
- Stay actively involved inportfolio monitoringand performance attribution
What We’re Looking For:
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- 4–8 years' experiencein quantitative modelling, ideally within structured credit, private credit, or related markets
- Strong grasp ofstructured product lingo, deal architecture, and risk parameters
- Excellent programming skillsin Python (or similar), with hands-on experience in building or improving credit modelling tools
- Knowledge ofdeal vendors,data management (e.g., Dropbox workflows), and the broader securitisation ecosystem
- Strong academic credentials in a quantitative discipline (e.g., math, physics, engineering, computer science)
- Demonstrated ability tothink commercially, communicate complex ideas clearly, and contribute to investment outcomes
Why This Role:
-
- Direct exposure toportfolio construction and decision-making
- Work closely with a world-class team in aflat, collaborative structure
- Opportunities to grow into a moreinvestment-facing roleover time
- Significantresponsibility and impactfrom day one
- Open toglobal talent– full visa sponsorship
To learn more or apply, send your CV to
quantresearch@octaviusfinance.com
Quantitative Analyst - Structured Credit | London - eFinancialCareers employer: eFinancialCareers
Contact Detail:
eFinancialCareers Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Analyst - Structured Credit | London - eFinancialCareers
✨Tip Number 1
Familiarise yourself with the specific structured credit products mentioned in the job description, such as RMBS, CMBS, and CLOs. Understanding these products will not only help you during interviews but also demonstrate your genuine interest in the role.
✨Tip Number 2
Brush up on your Python programming skills, especially in relation to building and optimising financial models. Consider working on personal projects or contributing to open-source projects that involve quantitative analysis to showcase your abilities.
✨Tip Number 3
Network with professionals in the structured credit space. Attend industry events or webinars where you can meet people who work in similar roles. This could lead to valuable insights and potentially even referrals for the position.
✨Tip Number 4
Prepare to discuss your previous experience with quantitative modelling in detail. Be ready to explain how your insights have influenced investment decisions in past roles, as this will be crucial in demonstrating your fit for the team.
We think you need these skills to ace Quantitative Analyst - Structured Credit | London - eFinancialCareers
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Quantitative Analyst position. Familiarise yourself with structured credit concepts and the specific skills mentioned in the job description.
Tailor Your CV: Customise your CV to highlight relevant experience in quantitative modelling, particularly within structured credit or private credit. Emphasise your programming skills in Python and any hands-on experience with credit modelling tools.
Craft a Compelling Cover Letter: Write a cover letter that showcases your understanding of the role and how your background aligns with the company's needs. Mention specific projects or experiences that demonstrate your ability to contribute to investment decision-making.
Highlight Academic Credentials: Ensure your application reflects your strong academic background in a quantitative discipline. Include any relevant coursework or projects that showcase your analytical skills and understanding of complex financial concepts.
How to prepare for a job interview at eFinancialCareers
✨Understand Structured Credit Products
Make sure you have a solid grasp of structured credit products like RMBS, CMBS, and CLOs. Being able to discuss these in detail will show your familiarity with the field and impress the interviewers.
✨Demonstrate Your Quantitative Skills
Prepare to showcase your quantitative modelling skills, especially in Python. Be ready to discuss specific models you've built or improved, and how they contributed to investment decisions.
✨Communicate Complex Ideas Clearly
Practice explaining complex quantitative concepts in simple terms. This role requires collaboration with PMs and traders, so being able to communicate effectively is crucial.
✨Showcase Your Problem-Solving Abilities
Be prepared to discuss past experiences where you tackled complex problems using advanced techniques like Monte Carlo simulation or regression analysis. Highlight how your insights influenced decision-making.
