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- Tasks: Lead the development of high-frequency trading strategies and conduct quantitative research.
- Company: Join a globally renowned high-frequency trading firm and multi-strategy hedge fund.
- Benefits: Enjoy competitive pay, performance bonuses, and full relocation support to major cities.
- Why this job: Work with top talent on cutting-edge strategies in a collaborative, innovative environment.
- Qualifications: Master’s or PhD in a quantitative field; experience in HFT preferred.
- Other info: Mentorship opportunities and a culture of technical excellence await you.
The predicted salary is between 43200 - 72000 £ per year.
Quant Researchers – HFTLondon£200k – £350kJob type : PermanentSector : Asset Management & FundsJob reference : TG43380Apply for this jobJoin a globally renowned high-frequency trading firm and a highly respected, multi-strategy hedge fund at the forefront of systematic and quantitative research. We are looking for exceptional senior quantitative analysts to join one of the systematic trading strategies team in London, New York City or one of the European offices.Competitive compensation & performance-based bonusesYour Role : As a Senior Quantitative Researcher, you will lead the development and optimization of high-frequency trading strategies in traditional financial markets. You will work closely with world-class engineers, quants, and traders to solve complex real-time challenges using advanced quantitative techniques and cutting-edge technology.Key Responsibilities : Develop and optimize systematic, high-frequency trading strategies.Conduct quantitative research to uncover market inefficiencies and improve model robustness.Collaborate with engineering teams to build scalable, low-latency trading systems.Leverage machine learning and statistical methods to enhance signal generation and performance.Mentor junior researchers and foster a culture of technical excellence and collaboration.Who We\’re Looking For : Exceptional candidates with an outstanding academic and professional track record.A degree (Master\’s or PhD preferred) in a quantitative discipline (e.g., Mathematics, Physics, Computer Science) from a top-tier university.Proven experience developing successful quantitative models—ideally in HFT and / or transaction cost analysis.Strong analytical and innovative thinking skills, with demonstrated proficiency in numerical and statistical tools for signal development.Hands‐on problem‐solvers who thrive in a collaborative, meritocratic environment marked by intellectual rigor and informality.Proficiency in Python or C++, with an emphasis on high-performance computing and market microstructure.Why Join? Work on cutting‐edge strategies within a highly respected global trading firm.Join a collaborative, high‐performance team of top‐tier talent across quant, engineering, and trading.Competitive compensation, performance-based bonuses, and industry-leading benefits.Full relocation support to London, New York or Europe.For a confidential conversation, contact : tg
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Quant Researchers – HFT employer: Barclay Simpson
Contact Detail:
Barclay Simpson Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quant Researchers – HFT
✨Tip Number 1
Network with professionals in the high-frequency trading (HFT) space. Attend industry conferences, webinars, and meetups to connect with current employees or alumni from your university who work at similar firms. This can provide you with insider knowledge and potentially a referral.
✨Tip Number 2
Stay updated on the latest trends and technologies in quantitative finance and machine learning. Follow relevant blogs, podcasts, and research papers to deepen your understanding of market microstructure and algorithmic trading strategies, which will help you stand out during interviews.
✨Tip Number 3
Engage in practical projects that showcase your skills in Python or C++. Build your own trading algorithms or contribute to open-source projects related to quantitative finance. This hands-on experience will not only enhance your resume but also give you concrete examples to discuss in interviews.
✨Tip Number 4
Prepare for technical interviews by practising problem-solving and coding challenges specific to quantitative research. Use platforms like LeetCode or HackerRank to sharpen your skills in numerical methods and statistical analysis, as these are crucial for the role.
We think you need these skills to ace Quant Researchers – HFT
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your academic achievements and relevant experience in quantitative research, particularly in high-frequency trading. Emphasise your proficiency in Python or C++ and any successful models you've developed.
Craft a Strong Cover Letter: Write a compelling cover letter that showcases your passion for quantitative analysis and your understanding of market inefficiencies. Mention specific projects or experiences that demonstrate your problem-solving skills and collaborative spirit.
Highlight Relevant Skills: In your application, clearly outline your analytical and innovative thinking skills. Provide examples of how you've used numerical and statistical tools to enhance signal generation and performance in previous roles.
Prepare for Technical Questions: Anticipate technical questions related to quantitative methods and high-frequency trading strategies. Brush up on your knowledge of machine learning and statistical techniques, as well as market microstructure concepts, to impress during the interview process.
How to prepare for a job interview at Barclay Simpson
✨Showcase Your Technical Skills
Be prepared to discuss your proficiency in Python or C++, especially in the context of high-performance computing. Bring examples of past projects where you've developed quantitative models or trading strategies, as this will demonstrate your hands-on experience.
✨Demonstrate Analytical Thinking
Expect questions that assess your analytical and innovative thinking skills. Prepare to explain how you've approached complex problems in the past, particularly in high-frequency trading or transaction cost analysis, and be ready to discuss the methodologies you used.
✨Collaborative Mindset
Highlight your ability to work in a team-oriented environment. Discuss experiences where you've collaborated with engineers or traders to solve real-time challenges, as this role requires strong teamwork and communication skills.
✨Prepare for Technical Questions
Anticipate technical questions related to quantitative research and market microstructure. Brush up on relevant concepts and be ready to tackle case studies or hypothetical scenarios that test your problem-solving abilities in a trading context.
