At a Glance
- Tasks: Develop and enhance advanced volatility models for interest rate products.
- Company: Premier global multi-strat investment manager with a focus on innovation.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Other info: Collaborate closely with Portfolio Managers and engage in live trading floor interactions.
- Why this job: Join a high-impact team and directly influence trading strategies in a fast-paced setting.
- Qualifications: 1-3 years of experience, strong programming skills in C++ or Python, and an advanced degree.
The predicted salary is between 60000 - 80000 £ per year.
We are representing a premier global multi-strat investment manager seeking a specialist Quantitative Researcher to join their Global Volatility Modelling team. This is a front-office, "high-touch" role where your models are used by Portfolio Managers - both discretionary and systematic - to price, hedge, and risk-manage complex derivatives across the G10 rates space. You will sit at the intersection of sophisticated library development and live trading floor interaction, moving beyond generic volatility modelling into the nuanced world of Rates Options.
The Mandate
- Develop and enhance high-fidelity volatility models specifically for interest rate products.
- Design and implement numerical algorithms (PDE, Monte Carlo) and calibration tools (SABR, LMM, Hull-White) to value semi-exotic derivatives.
- Collaborate directly with the Rates desk to build quantitative vol screening and relative-value (RV) trading tools that identify mispricings at the short and long ends of the curve.
- Own the development of the library used to risk-analyze derivatives across Rates, transitioning your research into production-grade infrastructure.
About You
- Experience: 1–3 years of relevant experience.
- Exceptional programming skills (C++ or Python preferred) with the ability to build robust, scalable trading infrastructure.
- Education: An advanced degree (MSc/PhD) in a highly quantitative field (Maths, Physics, Financial Engineering).
- Product Knowledge: A deep interest in, or professional exposure to, Rates options products and the mechanics of volatility trading.
Quantitative Researcher: Rates Options Modelling employer: Chase Global
Join a leading global multi-strat investment manager that values innovation and collaboration, offering a dynamic work environment where your contributions directly impact trading strategies. With a strong focus on employee development, you will have access to cutting-edge resources and mentorship opportunities, fostering both personal and professional growth. Located in a vibrant financial hub, this role provides a unique chance to engage with top-tier professionals while working on complex derivatives in the G10 rates space.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Researcher: Rates Options Modelling
✨Tip Number 1
Network like a pro! Reach out to professionals in the finance and quantitative research space. Use platforms like LinkedIn to connect with people who work at firms you're interested in. A friendly chat can sometimes lead to job opportunities that aren't even advertised!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your programming projects, especially those related to C++ or Python. If you've built any models or tools relevant to rates options, make sure to highlight them. This will give you an edge when discussing your experience during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of numerical algorithms and volatility modelling. Practice explaining complex concepts clearly and concisely. Remember, they want to see how you think, so don’t just memorise answers—understand the principles behind them!
✨Tip Number 4
Apply through our website! We often have exclusive listings that might not be found elsewhere. Plus, it shows your genuine interest in joining our team. Don’t hesitate to follow up on your application; a little persistence can go a long way!
We think you need these skills to ace Quantitative Researcher: Rates Options Modelling
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your programming skills, especially in C++ or Python. We want to see how you can build robust trading infrastructure, so don’t hold back on showcasing your experience!
Tailor Your Application:Customise your CV and cover letter to reflect the specific requirements of the Quantitative Researcher role. Mention your experience with volatility models and interest rate products to grab our attention!
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and make it easy for us to see why you’re a great fit for the team.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity.
How to prepare for a job interview at Chase Global
✨Know Your Models Inside Out
Make sure you can discuss the volatility models you've worked on in detail. Be prepared to explain how they work, their strengths and weaknesses, and any challenges you faced while developing them. This shows your depth of knowledge and passion for the subject.
✨Brush Up on Numerical Algorithms
Since the role involves designing and implementing numerical algorithms, review key concepts like PDEs, Monte Carlo methods, and calibration tools. Be ready to discuss how you've applied these techniques in past projects or how you would approach a specific problem.
✨Showcase Your Programming Skills
As programming is crucial for this role, be prepared to demonstrate your coding skills, particularly in C++ or Python. You might be asked to solve a problem on the spot, so practice coding exercises related to financial modelling and trading infrastructure.
✨Understand the Rates Options Landscape
Familiarise yourself with the intricacies of rates options products and volatility trading. Be ready to discuss current market trends, recent developments, and how they impact pricing and risk management. This will show that you're not just technically skilled but also aware of the broader context.
