At a Glance
- Tasks: Design and optimise high-frequency trading strategies for equity markets.
- Company: Leading global quantitative hedge fund with a collaborative culture.
- Benefits: Competitive salary, innovative projects, 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.
Job Description
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
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, conferences, or even online webinars. The more you engage with others, the better your chances of landing that HFT role.
✨Show Off Your Skills
When you get the chance to chat with potential employers, make sure to highlight your programming skills and any relevant projects you've worked on. Bring your A-game and be ready to discuss how you've tackled complex problems in high-frequency trading.
✨Stay Updated
Keep yourself in the loop about market structure changes and new technologies in trading. This shows you're not just knowledgeable but also passionate about the field. Plus, it gives you great talking points during interviews!
✨Apply Through Us!
Don't forget to check out our website for job openings. Applying through us can give you an edge, as we know the ins and outs of the firms looking for talent like yours. Let's get you that dream job!
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 in high-frequency trading and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about quantitative trading and how your background makes you a perfect fit for our team. Keep it concise but impactful – we love a good story!
Showcase Your Technical Skills: Since this role requires strong programming skills, make sure to mention your proficiency in Python, C++, or C#. If you've worked with large datasets or developed trading strategies, let us know! We’re keen to see your technical prowess.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any updates. Plus, it’s super easy!
How to prepare for a job interview at Point One - Hedge Fund Talent
✨Know Your Quant Basics
Make sure you brush up on your quantitative skills and concepts relevant to high-frequency trading. Be prepared to discuss market microstructure, predictive signals, and the intricacies of HFT strategies. This will show that you not only understand the theory but can also apply it practically.
✨Showcase Your Technical Skills
Since strong programming skills are crucial for this role, be ready to demonstrate your proficiency in Python, C++, or C#. You might be asked to solve a coding problem or explain your previous projects, so have examples ready that highlight your experience with large-scale data and low-latency systems.
✨Prepare for Problem-Solving Questions
Expect to face questions that test your analytical thinking and problem-solving abilities. Practice explaining your thought process clearly and logically, especially when discussing how you would approach optimising execution or reducing slippage in trading strategies.
✨Stay Updated on Market Trends
Familiarise yourself with recent changes in market structure, exchange rules, and liquidity dynamics. Being able to discuss these topics will demonstrate your commitment to staying informed and your ability to adapt strategies based on current market conditions.