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- Tasks: Join our team to design and implement cutting-edge trading algorithms in Java.
- Company: Be part of a leading global investment bank at the forefront of electronic trading.
- Benefits: Enjoy a collaborative environment with opportunities for professional growth and development.
- Why this job: This role blends coding and strategy, perfect for those passionate about finance and technology.
- Qualifications: 5+ years in electronic trading development with strong Java skills required.
- Other info: Ideal for those who thrive in fast-paced, high-performance environments.
The predicted salary is between 43200 - 72000 £ per year.
Our client, a leading global investment bank, is looking to hire an experienced Quantitative Developer to join their front-office Equities Electronic Trading team. This is a high-impact, hands-on development role focused on building and optimizing low-latency trading algorithms and infrastructure. The position is based in London and requires significant on-site presence, reflecting the collaborative, fast-paced nature of the business.
Team Overview
The team sits within the Equities division, specifically supporting electronic and algorithmic trading across EMEA markets. They focus on designing proprietary execution algorithms, building model-based trading logic, and developing analytics tools that power decision-making and performance optimization. This team plays a central role in ensuring the firm remains competitive in modern electronic markets by integrating quantitative techniques and high-performance engineering.
Role Responsibilities
- Design and implement proprietary trading algorithms in Java
- Develop and enhance the firm’s smart order router and market analytics systems
- Ensure code is well-documented, performant, and production-ready
- Review peer code and provide constructive feedback
- Collaborate with quants, traders, and technologists to enhance trading strategies
- Contribute to the ongoing monitoring and optimization of trading models
- Engage in both technical and business-level discussions to improve model design
Candidate Requirements
- Minimum 5 years of experience in front-office electronic trading development
- Strong hands-on experience with Java in low-latency, high-performance environments
- Background in cash equities or similar fast-paced asset classes
- Experience with algorithmic trading systems or smart order routing (highly preferred)
- Quantitative skillset with hands-on data analysis capabilities
- Preferred tools: KDB+/q, SQL, or Python
- Familiarity with C++ is beneficial
- Degree in Computer Science, Engineering, Financial Engineering, or other quantitative disciplines
- Strong problem-solving ability and attention to detail
- Ability to thrive in a collaborative, front-office environment
Who This Role Suits
This role is ideal for someone who straddles the line between quant and developer—comfortable writing production-level Java code while also contributing to strategy and model development. If you have experience in front-office trading teams and enjoy working with data to drive trading decisions, this is a rare opportunity to join a technically advanced and intellectually rigorous environment.
Interview Process
- Initial call with the hiring team
- Technical phone screen
- On-site coding interview
- On-site quant/business knowledge session
- Final round focusing on risk, controls, and team fit
If you are interested (or you have a friend/colleague who would be a good fit) please feel free to apply or send your resume at r.gashani@alexanderchapmanltd.com!
Contact Detail:
Placed Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Developer, Java (,, United Kingdom)
✨Tip Number 1
Familiarise yourself with the latest trends in algorithmic trading and low-latency systems. Being able to discuss recent advancements or challenges in the field during your interview can demonstrate your passion and knowledge, making you a standout candidate.
✨Tip Number 2
Brush up on your Java skills, especially in the context of high-performance environments. Consider working on personal projects or contributing to open-source projects that involve low-latency trading algorithms to showcase your practical experience.
✨Tip Number 3
Network with professionals in the quantitative finance space. Attend industry meetups or webinars where you can connect with current employees at investment banks or similar firms. This could provide valuable insights and potentially lead to referrals.
✨Tip Number 4
Prepare for the technical phone screen by practising coding problems that focus on data structures and algorithms. Use platforms like LeetCode or HackerRank to sharpen your skills, as these are often key areas of focus in technical interviews.
We think you need these skills to ace Quantitative Developer, Java (,, United Kingdom)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in front-office electronic trading development and your strong hands-on Java skills. Emphasise any relevant projects or roles that showcase your ability to work in low-latency, high-performance environments.
Craft a Compelling Cover Letter: Write a cover letter that specifically addresses the role of Quantitative Developer. Discuss your quantitative skillset, problem-solving abilities, and how your background aligns with the responsibilities outlined in the job description.
Showcase Relevant Experience: In your application, provide examples of your experience with algorithmic trading systems or smart order routing. Mention any familiarity with tools like KDB+/q, SQL, or Python, as well as your understanding of cash equities.
Prepare for Technical Questions: Anticipate technical questions related to Java coding and algorithm design. Brush up on your knowledge of low-latency systems and be ready to discuss your previous work in a collaborative, front-office environment.
How to prepare for a job interview at Placed
✨Brush Up on Java and Low-Latency Concepts
Make sure you're well-versed in Java, especially in the context of low-latency and high-performance environments. Be prepared to discuss your past experiences and how you've optimised code for speed and efficiency.
✨Understand Algorithmic Trading Fundamentals
Familiarise yourself with algorithmic trading systems and smart order routing. Be ready to explain how these systems work and share any relevant experiences you have in this area.
✨Prepare for Technical and Business Discussions
Since the role requires engaging in both technical and business-level discussions, practice articulating complex technical concepts in a way that non-technical stakeholders can understand. This will demonstrate your ability to bridge the gap between quant and developer roles.
✨Showcase Your Problem-Solving Skills
During the interview, be prepared to tackle problem-solving scenarios. Highlight your analytical skills and attention to detail by discussing specific challenges you've faced in previous roles and how you overcame them.
