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For Companies At a Glance
- Tasks: Design and optimise high-frequency trading strategies for global equity markets.
- Company: Leading global quantitative hedge fund with a collaborative and innovative culture.
- Benefits: Competitive salary, cutting-edge technology, and opportunities for professional growth.
- Why this job: Join a dynamic team and make an impact in high-frequency trading.
- Qualifications: Advanced degree in a quantitative field and experience in high-frequency trading.
- Other info: Fast-paced environment with excellent career advancement opportunities.
The predicted salary is between 72000 - 108000 £ per year.
About the Firm
Our client is a leading global quantitative hedge fund with over $32bn in assets under management, operating across all major asset classes and time horizons. The firm combines deep scientific research, world-class technology, and disciplined execution to deliver uncorrelated alpha. With a culture rooted in collaboration, innovation, and meritocracy, the firm continues to attract the world’s best researchers, engineers, and traders.
The Role
The fund is expanding its High-Frequency Trading (HFT) capabilities and is seeking an exceptional Equity Monetisation Quant to join its global systematic trading team.
This individual will focus on designing, building, and optimising high-frequency monetisation strategies for the fund’s equity trading business. You will work alongside senior researchers and technologists to identify short-term alpha opportunities, optimise execution, and drive trading efficiency across equity markets globally.
Key Responsibilities
- Research, design, and implement HFT monetisation strategies within global equity markets.
- Analyse large, high-frequency datasets to uncover predictive signals and market microstructure inefficiencies.
- Collaborate with technologists to develop low-latency trading infrastructure and simulation frameworks.
- Continuously refine strategies through performance analysis, feature engineering, and statistical evaluation.
- Partner with senior portfolio managers and execution teams to optimise order routing, execution, and slippage reduction.
- Stay abreast of market structure changes, exchange rules, and liquidity dynamics.
Key Requirements
- Advanced degree (PhD/MSc) in a quantitative discipline such as Mathematics, Physics, Computer Science, Engineering, or Statistics.
- 3–10 years’ experience in high-frequency or ultra-low-latency trading (equities or equity derivatives preferred).
- Deep understanding of market microstructure, exchange connectivity, and short-term alpha generation.
- Proven track record in researching, implementing, and deploying HFT strategies in live environments.
- Strong programming skills in Python, C++ or C#, and comfort working with large-scale, high-frequency data.
- Excellent problem-solving ability, intellectual curiosity, and a rigorous scientific mindset.
- Strong communication skills and ability to thrive in a fast-paced, collaborative environment.
For more information: thomas@pointonetalent.com
HFT Monetization Quant employer: Point One - Hedge Fund Talent
Contact Detail:
Point One - Hedge Fund Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land HFT Monetization Quant
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by brushing up on your technical skills and market knowledge. Practice common quant interview questions and be ready to discuss your past projects. We want you to shine!
✨Tip Number 3
Showcase your passion for HFT and quantitative trading during interviews. Share your insights on market trends and demonstrate your understanding of market microstructure. Let them see your enthusiasm!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step to engage with us directly.
We think you need these skills to ace HFT Monetization Quant
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the HFT Monetization Quant role. Highlight your experience with high-frequency trading, programming skills, and any relevant projects that showcase your quantitative abilities. We want to see how you fit into our world!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about high-frequency trading and how your background aligns with our firm's goals. Keep it concise but impactful – we love a good story!
Showcase Your Technical Skills: Don’t forget to emphasise your programming skills in Python, C++, or C#. If you've worked with large datasets or developed trading strategies, make sure to mention those experiences. We’re all about tech-savvy candidates!
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 it gets into the right hands. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Point One - Hedge Fund Talent
✨Know Your Numbers
Make sure you brush up on your quantitative skills and be ready to discuss specific metrics or models you've worked with. The firm is looking for someone who can analyse large datasets, so be prepared to explain your approach to data analysis and any relevant tools you've used.
✨Showcase Your Coding Skills
Since strong programming skills are a must, be ready to demonstrate your proficiency in Python, C++, or C#. You might be asked to solve coding problems on the spot, so practice common algorithms and data structures beforehand to show off your technical prowess.
✨Understand Market Microstructure
Familiarise yourself with market microstructure concepts and be prepared to discuss how they relate to high-frequency trading. This could involve talking about order types, execution strategies, and how you would optimise trading efficiency in different market conditions.
✨Be Ready to Collaborate
The role involves working closely with technologists and portfolio managers, so highlight your teamwork experience. Share examples of past collaborations where you successfully partnered with others to achieve a common goal, especially in fast-paced environments.
