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- Tasks: Design and refine systematic trading strategies focused on derivatives and AI-driven platforms.
- 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 by shaping innovative trading strategies with AI technology.
- Qualifications: Experience in derivatives and equity trading, strong Python skills, and a collaborative mindset.
- Other info: Work closely with engineers and researchers in an early-stage, build-mode environment.
The predicted salary is between 36000 - 60000 £ 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
- 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.
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 Quantitative Researcher – Derivatives & AI
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in the game. Building relationships can open doors that a CV just can’t.
✨Show Off Your Skills
Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your quantitative research projects or trading strategies. This will give potential employers a taste of what you can bring to the table.
✨Ace the Interview
Prepare for those tricky interview questions by practising your responses. Focus on your understanding of derivatives and how you’ve applied your skills in real-world scenarios. Confidence is key!
✨Apply Through Us
Make sure to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it shows you’re genuinely interested in being part of our team.
We think you need these skills to ace Quantitative Researcher – Derivatives & AI
Some tips for your application 🫡
Show Your Passion for Derivatives: When writing your application, make sure to highlight your enthusiasm for derivatives and equity trading. We want to see that you’re not just experienced, but genuinely excited about the field and how it intersects with AI.
Be Specific About Your Experience: Don’t just list your previous roles; dive into the specifics of your experience with options, futures, and structured products. We love details that showcase your understanding of volatility, Greeks, and risk management.
Demonstrate Your Collaborative Spirit: Since this role involves working closely with engineers and researchers, emphasise your collaborative mindset. Share examples of how you’ve successfully worked in teams to develop and deploy strategies in the past.
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 don’t miss out on any important updates during the process!
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 derivatives, especially options and futures. Be prepared to discuss volatility surfaces, Greeks, and risk management strategies in detail. This will show that you have the technical expertise needed for the role.
✨Showcase Your Python Skills
Since advanced Python skills are crucial for this position, be ready to demonstrate your coding abilities. You might be asked to solve a problem or analyse a dataset during the interview, so practice writing clean, efficient code that can handle large market data sets.
✨Prepare for Collaborative Scenarios
This role requires a highly collaborative mindset, so think of examples from your past experiences where you've worked closely with engineers or researchers. Highlight how you contributed to team projects and how you navigated any challenges that arose.
✨Understand the AI Component
Familiarise yourself with how AI is being integrated into trading strategies. Be ready to discuss any experience you have with machine learning models or automated strategy pipelines, as well as your thoughts on the future of AI in trading.
