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- Tasks: Design and develop cutting-edge trading algorithms for global equity markets.
- Company: Join a top-tier financial institution known for market innovation.
- Benefits: Enjoy competitive pay, bonuses, and flexible hybrid work options.
- Why this job: Be part of a high-impact team that shapes the future of trading technology.
- Qualifications: BSc/MSc in Computer Science or related field; strong Java and trading systems experience required.
- Other info: Collaborate with quants and front-office teams in an agile environment.
The predicted salary is between 43200 - 72000 £ per year.
We are working on behalf of a leading global financial services firm to hire an experienced Algo Trading Developer for their Global Trading Technology team. This team builds and supports cutting-edge trading algorithms and infrastructure powering both internal trading desks and institutional clients across global equity markets.
This is a hands-on role focused on designing, developing, and optimizing low-latency, high-performance trading algorithms and order handling systems. You will collaborate closely with quants, product teams, and front-office stakeholders in a high-impact, agile environment.
Key Responsibilities- Design, build, and support high-availability, low-latency trading strategies and systems.
- Collaborate with quantitative analysts on implementing models, signals, and trading logic.
- Customize and adapt algorithms based on client requirements and market conditions.
- Develop infrastructure components including order management systems, rules engines, and routing logic.
- Conduct simulation, backtesting, and performance analysis.
- Follow best practices in software development including automated testing and monitoring.
- BSc/MSc in Computer Science, Engineering, Mathematics, or related field.
- Strong proficiency in Java, Linux, and object-oriented design principles.
- Experience developing electronic trading systems in Equities, Futures, or Derivatives.
- Deep understanding of market microstructure, trading workflows, and order routing.
- Ability to implement quantitative models and perform strategy simulations.
- Experience working with front-office trading teams.
- Background in building benchmark tracking, dark aggregation, or liquidity-seeking algos.
- Familiarity with low-latency messaging systems (e.g., Solace, 29West).
- Experience with Agile development and event-driven programming (Pub/Sub models).
Join a high-performing global trading technology team at the forefront of market innovation. Work in a collaborative, front-office-aligned environment. Build mission-critical, revenue-generating trading systems. Competitive compensation and long-term career growth opportunities.
Algo Trading Developer employer: LinkedIn
Contact Detail:
LinkedIn Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Algo Trading Developer
✨Tip Number 1
Network with professionals in the finance and trading technology sectors. Attend industry conferences, webinars, or local meetups to connect with potential colleagues and learn about the latest trends in algo trading.
✨Tip Number 2
Familiarise yourself with the specific technologies and tools mentioned in the job description, such as Java and low-latency messaging systems. Consider building a small project or contributing to open-source projects that showcase your skills in these areas.
✨Tip Number 3
Prepare for technical interviews by practising coding challenges related to algorithm design and optimisation. Focus on problems that require a deep understanding of market microstructure and trading workflows to demonstrate your expertise.
✨Tip Number 4
Stay updated on current market trends and developments in algo trading. Being knowledgeable about recent changes in regulations or technological advancements can give you an edge during discussions with interviewers.
We think you need these skills to ace Algo Trading Developer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in algorithm development, trading systems, and any specific technologies mentioned in the job description, such as Java and Linux. Use keywords from the job listing to ensure your application stands out.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for algorithmic trading and your understanding of market microstructure. Mention specific projects or experiences that demonstrate your ability to design and optimize trading algorithms.
Showcase Technical Skills: In your application, emphasise your technical skills, particularly in Java and object-oriented design. If you have experience with low-latency messaging systems or Agile development, make sure to include that as well.
Highlight Collaboration Experience: Since the role involves working closely with quants and front-office teams, provide examples of past collaborative projects. This will demonstrate your ability to work in a team-oriented environment and adapt to client requirements.
How to prepare for a job interview at LinkedIn
✨Showcase Your Technical Skills
Be prepared to discuss your proficiency in Java and Linux, as well as your experience with object-oriented design principles. You might be asked to solve coding problems or explain your past projects, so brush up on relevant algorithms and data structures.
✨Understand Market Microstructure
Demonstrate your knowledge of market microstructure and trading workflows. Be ready to discuss how these concepts influence algorithm design and order routing, as this will show your understanding of the trading environment you'll be working in.
✨Collaborate Effectively
Since the role involves working closely with quants and front-office teams, highlight your collaboration skills. Prepare examples of how you've successfully worked in a team setting, especially in high-pressure environments, to deliver results.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving abilities. Think about how you would approach designing a trading algorithm under specific market conditions or client requirements, and be ready to articulate your thought process clearly.
