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- Tasks: Design and implement AI-driven trading strategies in a fast-paced environment.
- Company: Global proprietary trading firm at the forefront of AI and machine learning.
- Benefits: Competitive salary, access to cutting-edge technology, and real P&L ownership.
- Why this job: Make a real impact in finance by leveraging AI and advanced trading models.
- Qualifications: 2-5 years in quant trading or AI/ML research; strong programming skills required.
- Other info: Collaborate with top experts and access high-frequency datasets for innovative trading.
The predicted salary is between 36000 - 60000 £ per year.
Our client is a global proprietary trading and investment firm leveraging advanced quantitative research and cutting-edge technology. With daily trading volumes in the billions and a growing European hub in London, the firm is at the forefront of applying artificial intelligence and machine learning to capital markets. The team is expanding to capture opportunities in systematic, data-driven trading across asset classes. This role offers the chance to design and scale next-generation trading models in a high-impact environment with access to world-class infrastructure and datasets.
Key Responsibilities:
- Research, design, and implement trading strategies using AI/ML techniques such as reinforcement learning, deep neural networks, and natural language processing
- Develop scalable models for signal generation, execution optimisation, and risk management
- Work with large, complex, and alternative datasets to identify alpha opportunities
- Collaborate with engineers to deploy ML models into live trading environments
- Continuously monitor and refine models, adapting to market dynamics in real time
Candidate Requirements:
- 2–5 years of experience in quant trading, AI/ML research, or data-driven strategy development within a hedge fund, trading firm, or leading tech company
- Advanced programming skills (Python, C++, TensorFlow, PyTorch) with experience building ML pipelines and backtesting frameworks
- Deep knowledge of statistics, machine learning, and applied mathematics; MSc/PhD in Computer Science, Physics, Engineering, or related field preferred
- Exposure to financial markets (equities, FX, commodities, or derivatives); direct trading experience highly valued
- Entrepreneurial, collaborative mindset with ability to bridge research and real-world trading impact
Opportunity:
- Join a global leader in systematic and algorithmic trading with a strong London presence
- Be at the intersection of finance, AI, and technology with real P&L ownership
- Access to high-frequency datasets, scalable computing power, and proprietary research tools
- Collaborate with top AI scientists and quantitative researchers globally
Algorithmic Trader – AI & Machine Learning Strategies employer: Flynn and Chase
Contact Detail:
Flynn and Chase Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Algorithmic Trader – AI & Machine Learning Strategies
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at events. We all know that sometimes it’s not just what you know, but who you know that can land you that dream role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/ML projects or trading strategies. We want to see what you can do, so make sure to highlight your best work when chatting with potential employers.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your experience with Python, TensorFlow, or any other relevant tools. We suggest doing mock interviews to get comfortable with the process.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Algorithmic Trader – AI & Machine Learning Strategies
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the role of Algorithmic Trader. Highlight your programming skills, AI/ML projects, and any relevant trading experience to catch our eye!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for algorithmic trading and how your background in AI/ML can contribute to our team. Be genuine and let your personality come through.
Showcase Your Projects: If you've worked on any interesting projects related to trading strategies or machine learning, don’t hold back! Include links or descriptions in your application to demonstrate your hands-on experience and creativity.
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 this exciting opportunity in our London hub!
How to prepare for a job interview at Flynn and Chase
✨Know Your Algorithms
Make sure you brush up on your knowledge of AI and machine learning algorithms, especially reinforcement learning and deep neural networks. Be ready to discuss how you've applied these techniques in past projects or how you would approach designing trading strategies using them.
✨Showcase Your Coding Skills
Since advanced programming skills are crucial for this role, practice coding problems in Python or C++. You might be asked to solve a problem on the spot, so being comfortable with coding challenges will help you stand out.
✨Understand the Market
Familiarise yourself with current trends in financial markets, particularly in equities, FX, and commodities. Being able to discuss recent market movements and how they relate to algorithmic trading will demonstrate your passion and understanding of the field.
✨Prepare for Collaboration Questions
This role requires a collaborative mindset, so expect questions about teamwork and communication. Think of examples where you've successfully worked with engineers or other teams to deploy models or solve complex problems, and be ready to share those experiences.