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- Tasks: Design and deploy innovative trading strategies using AI and derivatives.
- Company: Join a cutting-edge analytics team in a dynamic trading environment.
- Benefits: Competitive salary, collaborative culture, and opportunities for professional growth.
- Why this job: Make a real impact on AI-driven trading strategies and shape the future of finance.
- Qualifications: Experience with derivatives and strong Python skills required.
- Other info: Work closely with engineers and researchers in a fast-paced, innovative setting.
The predicted salary is between 80000 - 100000 £ per year.
We are looking for a Quantitative Researcher with strong derivatives and equity trading desk experience to join our growing analytics function. This role has been created to strengthen domain depth within the team and to support the next phase of development of our AI-driven trading platform and proprietary trading business. You will work closely with engineers and researchers to design, evaluate, and deploy systematic trading strategies, with a particular focus on derivatives. This is a hands-on role suited to someone who has operated in institutional trading or quantitative research environments and is comfortable moving between market intuition, data, and production-grade systems.
Core Responsibilities
- Hands-on experience designing or trading options strategies in current markets is essential.
- Design, analyse, and refine systematic trading strategies, primarily focused on derivatives (options, futures) with equity market exposure.
- Apply deep understanding of volatility, Greeks, term structures, and risk to strategy development.
- Conduct rigorous back-testing, validation, and performance analysis across historical and simulated data.
- Work closely with AI, analytics and engineering teams to:
- Translate trading ideas into systematic, testable strategies.
- Improve the quality, constraints, and evaluation of AI-generated strategies.
- Contribute to the evolution of strategy pipelines, including documentation, testing standards, and deployment readiness.
- Provide trading-domain input to ensure strategies are robust, interpretable, and suitable for live or simulated execution.
- Support the scaling of the AI strategy function by embedding best practices from institutional trading environments.
Required experience
- Proven experience working with derivatives (options, futures, structured products).
- Prior experience on or closely aligned to an equity trading desk (buy-side or sell-side).
- Strong understanding of:
- Volatility surfaces and Greeks.
- Trade lifecycle and execution considerations.
- Risk management and P&L attribution.
Working style & mindset
- Comfortable operating in an early-stage, build-mode environment.
- No ego, highly collaborative, and happy working closely with engineers and researchers.
- Able to work with ambiguity and help shape processes rather than wait for them.
- Commercially minded, understands the difference between interesting research and deployable strategies.
Nice to have
- Experience with options volatility trading or market-making concepts.
- Exposure to AI-assisted research, machine learning models, or automated strategy pipelines.
- Experience working across multiple asset classes, including crypto derivatives.
- Familiarity with production trading systems or execution infrastructure.
Work at the intersection of institutional trading expertise and cutting-edge AI. Direct influence on how strategies are designed, tested, and brought into production. Close collaboration with senior technical and product leadership. Opportunity to help shape a core function as the platform scales.
Senior Quantitative Researcher | Derivatives & AI employer: Quantum Technology Solutions Inc
Contact Detail:
Quantum Technology Solutions Inc Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Quantitative Researcher | Derivatives & AI
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your quantitative research projects, especially those related to derivatives and AI. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and market intuition. Be ready to discuss your experience with options strategies and how you've applied your skills in real-world scenarios.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team.
We think you need these skills to ace Senior Quantitative Researcher | Derivatives & AI
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with derivatives and equity trading. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about quantitative research and how your skills can contribute to our AI-driven trading platform. Keep it engaging and personal.
Showcase Your Technical Skills: Since we’re looking for someone with strong Python skills, make sure to mention any relevant projects or experiences where you’ve used Python for quantitative analysis or back-testing. We love seeing practical applications!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Quantum Technology Solutions Inc
✨Know Your Derivatives Inside Out
Make sure you brush up on your knowledge of options, futures, and structured products. Be ready to discuss specific strategies you've designed or traded, and how they performed in different market conditions. This will show that you have the hands-on experience they're looking for.
✨Showcase Your Python Skills
Since advanced Python skills are a must, prepare to demonstrate your coding abilities. Bring examples of your quantitative research or back-testing projects. If you can, walk them through your thought process and how you used Python to solve complex problems.
✨Understand the Trading Lifecycle
Familiarise yourself with the trade lifecycle and execution considerations. Be prepared to discuss how you manage risk and P&L attribution in your strategies. This will highlight your understanding of the practical aspects of trading and how they relate to your quantitative work.
✨Emphasise Collaboration and Adaptability
This role requires a collaborative mindset, so be ready to share examples of how you've worked closely with engineers and researchers in the past. Discuss how you handle ambiguity and contribute to shaping processes, as this will resonate well with their early-stage environment.