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- Tasks: Research and implement high-frequency trading strategies in crypto markets.
- Company: Join Eka Finance, a leading firm in innovative financial solutions.
- Benefits: Enjoy relocation support, collaborative culture, and opportunities for growth.
- Why this job: Dive into cutting-edge trading strategies and make an impact in the fast-paced crypto world.
- Qualifications: Strong programming skills in Python; experience in high-frequency trading or systematic strategies required.
- Other info: Candidates must be based in London or willing to relocate.
The predicted salary is between 43200 - 72000 £ per year.
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Quantitative Researcher – High-Frequency & Crypto Markets, London
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Client:
Eka Finance
Location:
London, United Kingdom
Job Category:
Other
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EU work permit required:
Yes
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Job Reference:
3f1b3a7aceb2
Job Views:
4
Posted:
29.06.2025
Expiry Date:
13.08.2025
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Job Description:
Responsibilities
- Research and implement high-frequency trading strategies, leveraging deep knowledge of market microstructure
- Analyze large-scale market data to uncover inefficiencies and design robust, data-driven models
- Build and maintain simulation and backtesting tools aligned with real-world trading conditions
- Write and optimize production-grade code for signal generation, execution logic, and infrastructure components
- Collaborate across disciplines to ensure seamless integration of research and engineering efforts
- Monitor strategy performance, adapt models to changing market conditions, and manage risk
Requirements
- Strong experience in high-frequency trading or systematic strategies within crypto or traditional markets
- Advanced programming skills in Python , along with proficiency in at least one compiled language (Rust preferred , C++ or Go also welcome)
- Deep understanding of market microstructure and the technical nuances of low-latency trading
- Background in a quantitative discipline such as mathematics, statistics, physics, computer science, or engineering (MSc or PhD preferred)
- Practical experience working with large datasets, real-time data pipelines, and cloud-based research environments
- Familiarity with version control systems (Git), Linux/Unix environments, and containerization tools such as Docker
- Strong problem-solving ability, high attention to detail, and a mindset geared toward continuous improvement
Location
This role is based in London . We believe in the power of close collaboration, and candidates should either be located in London or willing to relocate. Support for relocation is available.
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Quantitative Researcher – High-Frequency & Crypto Markets employer: Eka Finance
Contact Detail:
Eka Finance Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Researcher – High-Frequency & Crypto Markets
✨Tip Number 1
Familiarise yourself with the latest trends in high-frequency trading and crypto markets. Follow industry news, join relevant forums, and engage with professionals on platforms like LinkedIn to stay updated and demonstrate your passion during interviews.
✨Tip Number 2
Build a portfolio showcasing your programming skills, particularly in Python and any compiled languages you know. Create projects that involve data analysis or trading simulations to highlight your practical experience and problem-solving abilities.
✨Tip Number 3
Network with professionals in the quantitative research field. Attend meetups, webinars, or conferences related to finance and technology to make connections that could lead to referrals or insider information about job openings.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges and algorithm questions relevant to trading strategies. Use platforms like LeetCode or HackerRank to sharpen your skills and ensure you're ready to impress during the interview process.
We think you need these skills to ace Quantitative Researcher – High-Frequency & Crypto Markets
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in high-frequency trading and systematic strategies. Emphasise your programming skills in Python and any experience with compiled languages like Rust, C++, or Go.
Craft a Strong Cover Letter: In your cover letter, explain why you're passionate about quantitative research in crypto markets. Mention specific projects or experiences that demonstrate your understanding of market microstructure and your problem-solving abilities.
Showcase Relevant Projects: If you have worked on relevant projects, include them in your application. Detail your role, the technologies used, and the outcomes achieved, especially if they involved large datasets or real-time data pipelines.
Highlight Collaboration Skills: Since the role involves collaboration across disciplines, mention any experience you have working in teams. Discuss how you’ve successfully integrated research with engineering efforts in past roles.
How to prepare for a job interview at Eka Finance
✨Showcase Your Technical Skills
Make sure to highlight your advanced programming skills, especially in Python and any compiled languages like Rust or C++. Be prepared to discuss specific projects where you've implemented high-frequency trading strategies or worked with large datasets.
✨Demonstrate Market Knowledge
Familiarise yourself with market microstructure and the nuances of low-latency trading. During the interview, be ready to discuss how you would analyse market data to uncover inefficiencies and adapt models to changing conditions.
✨Prepare for Problem-Solving Questions
Expect to face technical problem-solving scenarios that test your analytical skills. Practice explaining your thought process clearly and concisely, as this will showcase your strong problem-solving ability and attention to detail.
✨Emphasise Collaboration Experience
Since the role involves collaboration across disciplines, share examples of how you've successfully worked with teams in the past. Highlight any experiences where you integrated research and engineering efforts to achieve a common goal.
