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- Tasks: Join a dynamic team to develop and enhance trading models and tools in C++ and Python.
- Company: Leading FinTech firm revolutionising investment management for top hedge funds and asset managers.
- Benefits: Market-leading salary, annual bonus, healthcare, 26 days holiday, and remote work flexibility.
- Why this job: Be part of an exciting journey in a high-talent environment with exceptional learning opportunities.
- Qualifications: Experience as a Quantitative Analyst with strong knowledge of Structured Credit and programming skills.
- Other info: Hybrid working model with global remote options and excellent career advancement potential.
The predicted salary is between 36000 - 60000 £ per year.
My client is a leading FinTech business delivering technology and investment management infrastructure services to some of the world's leading hedge funds and asset managers. They are looking for a Quantitative Analyst with strong knowledge of Structured Credit / Securitised Products to join their Quantitative Analytics & Development team based in London. The individual will be focused on ABS, MBS, CDOs, CLOs and CMOs.
What You'll Get
- An opportunity to be part of one of the most exciting buy-side FinTech businesses in the world with a clear goal to become the first choice trading technology provider with asset managers and financial institutions alike, across the derivatives markets.
- High talent density with exceptional mentoring and opportunities to learn and develop your skills.
- Market leading compensation, including an annual discretionary bonus, with ongoing opportunities for financial advancement.
- Benefits including pension contribution, healthcare, life insurance, 26 days holiday, 10 further days remote working from anywhere in the world and hybrid working.
What You'll Do
The successful candidate will join the Quantitative Analytics & Development team and is expected to contribute to the development and enhancement of new and existing models and analytics in the core Quant Analytics library (written in C++). Furthermore, the individual is expected to develop new and enhance existing trading tools that are used by their clients (written in Python). At the same time, the successful candidate is expected to provide ongoing support to clients across all asset classes (especially Rates, but also FX, Equities, and Commodities), and maintenance of existing BAU systems and processes.
What You'll Need
- Experience working as a Quantitative Analyst in a front office trading environment.
- Strong knowledge of Structured Credit / Securitised products and models, including ABS, MBS, CDOs, CLOs and CMOs (expertise is not required in all).
- Strong C++ and Python development ability.
- Experience supporting a live production environment and models.
Quantitative Analyst - Structured Credit in England employer: Tempest Vane Partners
Contact Detail:
Tempest Vane Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Analyst - Structured Credit in England
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work at Tempest Vane Partners or similar firms. A friendly message on LinkedIn can go a long way in getting your foot in the door.
✨Tip Number 2
Prepare for the interview by brushing up on your knowledge of Structured Credit and Securitised Products. Be ready to discuss ABS, MBS, CDOs, CLOs, and CMOs in detail. Show them you know your stuff!
✨Tip Number 3
Don’t just wait for job postings; be proactive! Check out our website regularly for openings and apply directly. It shows initiative and can set you apart from other candidates.
✨Tip Number 4
Practice coding challenges in C++ and Python. Since you'll be developing models and trading tools, demonstrating your technical skills during the interview will definitely impress them!
We think you need these skills to ace Quantitative Analyst - Structured Credit in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Quantitative Analyst role. Highlight your experience with Structured Credit and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Showcase Your Technical Skills: Don’t forget to emphasise your C++ and Python development abilities. Include specific examples of tools or models you've developed, as this will show us you’ve got the chops for the job!
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 makes you a great fit. We love seeing enthusiasm and a clear understanding of our business.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Tempest Vane Partners
✨Know Your Structured Credit Inside Out
Make sure you brush up on your knowledge of ABS, MBS, CDOs, CLOs, and CMOs. Be prepared to discuss how these products work and their implications in the market. This will show that you're not just familiar with the terms but can also apply your knowledge practically.
✨Show Off Your Coding Skills
Since strong C++ and Python skills are crucial for this role, be ready to demonstrate your coding abilities. You might be asked to solve a problem on the spot or discuss past projects where you used these languages. Practising coding challenges beforehand can really help!
✨Prepare for Real-World Scenarios
Think about how you would handle real-world situations in a trading environment. Prepare examples from your past experience where you supported live production environments or enhanced existing models. This will highlight your practical experience and problem-solving skills.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the team, the technology stack, and the company’s vision in the FinTech space. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.