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- Tasks: Join a dynamic team to develop and enhance trading algorithms using Java.
- Company: A leading global financial institution at the forefront of electronic trading.
- Benefits: Competitive salary up to ÂŁ115,000 and exposure to cutting-edge technology.
- Why this job: Work with top professionals in a fast-paced environment that drives real-time trading success.
- Qualifications: 3+ years in Java development and a strong grasp of equity market microstructure required.
- Other info: Opportunity for high-impact work in a globally distributed team.
The predicted salary is between 72000 - 96000 ÂŁ per year.
This range is provided by Pioneer Search. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
Direct message the job poster from Pioneer Search
Recruitment Industry Leader and Director for Permanent Recruitment
Quantitative Developer – Systematic Execution
A leading global financial institution is looking to hire a Quantitative Developer into their electronic trading / execution algorithms team in London. This is a front-office role combining core Java development, quantitative research, and systematic strategy implementation, ideal for someone with a deep understanding of equity market microstructure, electronic trading systems, and performance modelling.
You\’ll sit in a globally distributed Quant Trading & Strategy function, working closely with traders, quants, and technologists to research, design, and enhance the execution logic behind systematic trading strategies. The position offers strong exposure to both low-latency trading infrastructure and client-driven product development.
Key Responsibilities:
- Analyse performance of algorithmic trading strategies using large datasets
- Optimise market microstructure-aware trading logic and execution tactics
- Design and implement Java-based business logic for live trading systems
- Collaborate with quant researchers, engineers, and execution consultants across global offices
- Act as a technical point of contact on trading algorithm performance and behaviour
Required Skills:
- 3+ years of core Java development (Java 8+, multithreading, testing frameworks, DI)
- Experience with electronic trading systems (preferably equities, agency or prop)
- Strong understanding of European equities market microstructure
- Background in quantitative modelling, data analysis, or algorithm design
- MSc or PhD in a relevant field: Computer Science, Applied Mathematics, Statistics, or similar
- Experience with low-latency systems, high-frequency trading (HFT) or execution consultancy
- Exposure to Python for prototyping and data analytics
- Familiarity with distributed systems, messaging frameworks (e.g. Kafka), or order management systems (OMS)
Position Overview:
- Salary: Up to ÂŁ115,000 base
- Industry: Financial services, electronic trading, front-office technology
This is a unique opportunity for a Java Quant Developer to work directly on the engine of real-time equity trading, driving tangible performance improvements and collaborating with some of the brightest minds in systematic execution.
Seniority level
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Seniority level
Entry level
Employment type
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Employment type
Full-time
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Job function
Information Technology
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Industries
Software Development
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Quantative Developer employer: Pioneer Search
Contact Detail:
Pioneer Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantative Developer
✨Tip Number 1
Familiarise yourself with the latest trends in electronic trading and algorithmic strategies. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the quantitative finance space, especially those working in electronic trading. Attend industry meetups or webinars to connect with potential colleagues and gain insights into the company culture.
✨Tip Number 3
Brush up on your Java skills, particularly focusing on multithreading and testing frameworks. Consider working on personal projects or contributing to open-source projects that showcase your coding abilities relevant to this role.
✨Tip Number 4
Prepare to discuss your experience with data analysis and quantitative modelling in detail. Be ready to provide examples of how you've applied these skills in previous roles, as this will demonstrate your capability to handle the responsibilities of the position.
We think you need these skills to ace Quantative Developer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your core Java development experience, particularly with Java 8+ and multithreading. Emphasise any relevant projects or roles that showcase your understanding of electronic trading systems and quantitative modelling.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss your experience with algorithm design and data analysis, and how it aligns with the responsibilities of optimising trading strategies and collaborating with quant researchers.
Showcase Relevant Skills: Clearly outline your skills in low-latency systems and high-frequency trading. If you have experience with Python for prototyping or familiarity with messaging frameworks like Kafka, make sure to include these details as they are highly relevant to the position.
Highlight Educational Background: Mention your MSc or PhD in a relevant field such as Computer Science, Applied Mathematics, or Statistics. This will help demonstrate your strong theoretical foundation, which is crucial for a Quantitative Developer role.
How to prepare for a job interview at Pioneer Search
✨Showcase Your Java Expertise
Make sure to highlight your experience with core Java development, especially with Java 8 and above. Be prepared to discuss specific projects where you implemented multithreading and testing frameworks, as this will demonstrate your technical proficiency.
✨Understand Market Microstructure
Familiarise yourself with European equities market microstructure and be ready to discuss how it impacts algorithmic trading strategies. This knowledge will show that you can contribute to optimising trading logic and execution tactics effectively.
✨Demonstrate Quantitative Skills
Prepare to talk about your background in quantitative modelling and data analysis. Bring examples of how you've used these skills in previous roles, particularly in relation to algorithm design or performance analysis of trading strategies.
✨Collaborative Mindset
Since the role involves working closely with traders, quants, and technologists, emphasise your ability to collaborate across teams. Share experiences where you successfully worked with diverse groups to achieve a common goal, especially in high-pressure environments.
