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For Companies At a Glance
- Tasks: Build an AI-driven automated trading system and optimise performance at scale.
- Company: Top-tier London Hedge Fund with a high-conviction trading floor.
- Benefits: Competitive salary of £160k plus performance-linked bonuses.
- Why this job: Join elite minds and leverage cutting-edge tech to make impactful financial decisions.
- Qualifications: 5-8 years in Quant Dev, expert in Python/C++, and knowledge of equity options.
- Other info: Enjoy tech freedom and work in a dynamic, low-bureaucracy environment.
The predicted salary is between 96000 - 224000 £ per year.
Location: London, UK (Full-time, In-office)
Experience: 5–8 Years
Compensation: Circa £160,000 Base + Performance-Linked Bonus
The Role
Are you ready to architect the next generation of autonomous trading? We are representing a top-tier London Hedge Fund looking for a Senior Quantitative Developer to build a fully automated, AI-driven systematic trading system. This role is for a specialist who doesn’t just use tools but masters the underlying architecture. You will be responsible for integrating Claude (Anthropic) and advanced AI frameworks into a live production environment to generate alpha in the Equity Options markets.
The Technical Challenge: Data at Scale
- You will be the custodian of a massive, high-fidelity data library.
- Massive Throughput: Design scalable infrastructure to handle massive data loads, ensuring sub-millisecond processing times for large-scale financial datasets.
- Historical Depth: Processing per-minute data points spanning 24 years of market history.
- Vectorized Performance: Moving beyond Pandas—leveraging Polars for multi-threaded, Rust-backed data manipulation and Dask for distributed compute across clusters.
- Execution Engine: Native integration with SpiderRock for complex Equity Options execution and automated risk-routing.
Key Responsibilities
- System Architecture: Build an end-to-end automated trading system from scratch using a modern, AI-first stack.
- AI Integration: Leverage Claude and LLMs for signal extraction, code optimization, and autonomous strategy refinement.
- High-Performance Computing: Implement predicate pushdown and efficient Parquet/Arrow storage to ensure backtests on decades of data run in minutes, not days.
- Options Logic: Programmatically handle Greeks, volatility surfaces, and risk management through the SpiderRock API.
What We’re Looking For
- Experience: 5–8 years in a Quant Dev or Systematic Trading environment at a top fund or bank.
- Coding Mastery: Expert proficiency in Python (Polars/Dask/FastAPI) and/or C++.
- AI Native: Proven ability to use LLMs and Machine Learning to solve complex financial time-series problems.
- Industry Standard Experience: You have worked with industry-standard large data before and understand the nuances of point-in-time integrity.
- Equity Options Knowledge: Specific experience with options Greeks and execution platforms (SpiderRock is highly preferred).
Why Join Us?
- Total Rewards: A highly competitive base salary of £160k with a significant bonus structure that rewards PnL contribution.
- Elite Environment: Work alongside the best minds in London in a high-conviction, low-bureaucracy trading floor.
- Tech Freedom: You will have the mandate to use the best emerging tech (Claude, Rust-based tools) to win.
Quantitative Developer in London employer: Global TechForce
Contact Detail:
Global TechForce Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Developer in London
✨Tip Number 1
Network like a pro! Get out there and connect with people in the industry. Attend meetups, conferences, or even online webinars. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI integration or high-performance computing. This is your chance to demonstrate your coding mastery and how you can handle massive data loads.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and C++ skills. Practice coding challenges that focus on data manipulation and algorithm optimisation. Remember, they want to see how you think and solve problems under pressure!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to reach out directly. Don’t hesitate to follow up after applying; it shows your enthusiasm!
We think you need these skills to ace Quantitative Developer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of a Senior Quantitative Developer. Highlight your experience with Python, AI integration, and any relevant projects that showcase your coding mastery and understanding of equity options.
Craft a Compelling Cover Letter: Your cover letter should tell us why you're the perfect fit for this role. Share your passion for autonomous trading and how your skills align with our needs. Don’t forget to mention any specific experiences that relate to the job description!
Showcase Your Technical Skills: In your application, be sure to highlight your technical skills, especially in high-performance computing and data manipulation. We want to see examples of how you've optimised systems or handled large datasets in previous roles.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Global TechForce
✨Master the Technical Skills
Make sure you brush up on your Python and C++ skills, especially with Polars, Dask, and FastAPI. Be ready to discuss how you've optimised performance in previous roles, as this will be crucial for the position.
✨Know Your Data
Familiarise yourself with handling large datasets and the importance of point-in-time integrity. Be prepared to explain how you've managed massive data loads and ensured sub-millisecond processing times in your past projects.
✨Understand the Trading Landscape
Dive deep into equity options and the Greeks. Having a solid grasp of risk management and execution platforms like SpiderRock will set you apart. Be ready to discuss specific strategies you've implemented in this area.
✨Showcase Your AI Integration Experience
Highlight any experience you have with LLMs and machine learning, particularly in financial contexts. Discuss how you've leveraged AI for signal extraction or strategy refinement, as this is a key aspect of the role.
