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- Tasks: Join a dynamic team to develop tools for pricing and risk in equity volatility trading.
- Company: Be part of a leading global investment firm with a focus on multi-strategy approaches.
- Benefits: Enjoy competitive perks, collaborative culture, and opportunities for professional growth.
- Why this job: Make an impact by supporting innovative trading strategies in a fast-paced environment.
- Qualifications: Strong Python skills and experience in volatility trading or delta one desks required.
- Other info: Work closely with traders and PMs to enhance your quantitative expertise.
The predicted salary is between 43200 - 72000 £ per year.
We’re hiring for a Quantitative Strategist to join a top-performing Emerging Markets Delta One (EMD1) desk at a global multi-strategy investment firm. This role sits within a centralized Quant Strat team supporting Equity Volatility trading, with a focus on building scalable tools and models for pricing, risk, and PnL attribution.
What you’ll be doing:
- You’ll work closely with traders and PMs to support the desk’s equity vol strategies, taking ownership of modelling and infrastructure across:
- Volatility surface construction and calibration
- Pricing and risk analytics for vanilla and exotic equity derivatives
- Dividends and funding model development
- Daily PnL explanation and attribution
- Centralised Python libraries for valuation and risk
What they’re looking for:
- Strong Python development skills in a production environment
- Experience supporting volatility trading or delta one desks
- Solid understanding of equity derivatives and risk representation
- Exposure to dividends, funding, and PnL modelling
- Ability to collaborate effectively with traders, PMs, and fellow quants
Quant Strategist employer: Radley James
Contact Detail:
Radley James Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quant Strategist
✨Tip Number 1
Familiarise yourself with the latest trends in equity volatility trading. Understanding current market conditions and how they affect pricing and risk analytics will give you an edge when discussing strategies with traders and PMs.
✨Tip Number 2
Brush up on your Python skills, especially in relation to building scalable tools and models. Consider working on personal projects or contributing to open-source projects that focus on financial modelling to showcase your abilities.
✨Tip Number 3
Network with professionals in the quantitative finance space. Attend industry events or webinars where you can meet traders and quants, as these connections can provide valuable insights and potentially lead to referrals.
✨Tip Number 4
Prepare to discuss specific examples of your past work related to volatility surface construction and PnL attribution. Being able to articulate your experience clearly will demonstrate your expertise and readiness for the role.
We think you need these skills to ace Quant Strategist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Python development skills and any relevant experience in volatility trading or delta one desks. Use specific examples to demonstrate your understanding of equity derivatives and risk representation.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the firm. Discuss how your background aligns with the responsibilities of the Quantitative Strategist position, particularly in modelling and infrastructure development.
Showcase Relevant Projects: If you have worked on projects related to volatility surface construction, pricing analytics, or PnL attribution, be sure to include these in your application. Highlight your contributions and the impact of your work.
Prepare for Technical Questions: Anticipate technical questions related to Python programming and quantitative finance concepts during the interview process. Brush up on your knowledge of equity derivatives, dividends, and funding models to demonstrate your expertise.
How to prepare for a job interview at Radley James
✨Showcase Your Python Skills
Make sure to highlight your strong Python development skills during the interview. Be prepared to discuss specific projects where you've used Python in a production environment, especially those related to quantitative modelling or trading.
✨Understand Equity Derivatives Deeply
Demonstrate a solid understanding of equity derivatives and risk representation. Be ready to explain complex concepts clearly and how they relate to volatility trading, as this will show your depth of knowledge in the field.
✨Prepare for Technical Questions
Expect technical questions related to volatility surface construction, pricing, and risk analytics. Brush up on these topics and be ready to solve problems on the spot, as this will showcase your analytical skills and practical knowledge.
✨Emphasise Collaboration Skills
Since the role involves working closely with traders, PMs, and fellow quants, emphasise your ability to collaborate effectively. Share examples from past experiences where teamwork led to successful outcomes, highlighting your communication skills.
