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For Companies At a Glance
- Tasks: Architect and build an AI-driven automated trading system for a top-tier hedge fund.
- Company: Join a leading London Hedge Fund with a high-performance culture.
- Benefits: Competitive salary of £160k plus performance-linked bonuses.
- Why this job: Work with cutting-edge tech and elite minds in finance to drive innovation.
- Qualifications: 5-8 years in Quant Dev, expert in Python/C++, and experience with equity options.
- Other info: Enjoy tech freedom and significant career growth in a dynamic 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. We aren’t looking for "standard" Python users; we need an engineer who can optimize at the edge of performance:
- 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 Slough employer: Global TechForce
Contact Detail:
Global TechForce Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Developer in Slough
✨Tip Number 1
Network like a pro! Get out there and connect with industry folks on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI integration or high-performance computing. This will give potential employers a taste of what you can do beyond just your CV.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding the latest trends in quantitative finance. Practice solving problems on platforms like LeetCode or HackerRank to get in the zone.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Quantitative Developer in Slough
Some tips for your application 🫡
Show Off Your Skills: When you're writing your application, make sure to highlight your coding mastery in Python and C++. We want to see how you've tackled complex financial problems using AI and machine learning, so don't hold back!
Tailor Your Experience: Make your application stand out by tailoring it to our specific needs. Mention your experience with options Greeks and execution platforms like SpiderRock, as this will show us you understand the nuances of the role.
Be Clear and Concise: Keep your application clear and to the point. We appreciate a well-structured application that gets straight to the heart of your experience and skills without unnecessary fluff.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss any important updates from us!
How to prepare for a job interview at Global TechForce
✨Master the Technical Details
Make sure you brush up on your Python and C++ skills, especially with Polars and Dask. Be ready to discuss how you've optimised performance in past projects, as this role demands a deep understanding of high-performance computing.
✨Showcase Your AI Knowledge
Prepare to talk about your experience with LLMs and machine learning. Think of specific examples where you've used these technologies to solve complex financial problems, particularly in trading or data analysis.
✨Understand the Market Landscape
Familiarise yourself with equity options and the Greeks. Be prepared to discuss how you would handle risk management and execution using platforms like SpiderRock, as this knowledge is crucial for the role.
✨Demonstrate Your Problem-Solving Skills
Think of scenarios where you've had to design scalable systems or manage massive datasets. Be ready to explain your thought process and the architecture decisions you made to ensure efficiency and speed.
