Algorithmic Trading Developer
Algorithmic Trading Developer

Algorithmic Trading Developer

London Full-Time 78000 - 182000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Develop cutting-edge trading software and strategies in a dynamic team environment.
  • Company: Join a leading liquidity and data solutions specialist in the heart of London.
  • Benefits: Enjoy a hybrid work model and a competitive salary of £130,000.
  • Why this job: Be part of a world-class financial services team making an impact in trading technology.
  • Qualifications: Degree in Computer Science or related field; expertise in Java, Linux, and trading systems required.
  • Other info: Ideal for those passionate about algorithmic trading and quantitative analysis.

The predicted salary is between 78000 - 182000 £ per year.

My client is seeking an exceptional and experienced Algo Trading developer to join the Global Trading Technology team. This experienced individual has a proven track record of developing quality software and trading strategies in a world class financial services organization.

Requirements

  • BS/BA degree or higher in Computer Science, Mathematics, or related Engineering field.
  • Java, Linux, and OO Design with a focus on performance, re-usability, test automation and flexibility for customizations.
  • Experience developing trading systems (backend) for Equities, Futures or Listed Derivatives (ideally execution algorithms, prop strategies, risk trading, smart routing etc.)
  • Experience based knowledge of Equities market microstructure and trading workflows. This includes but not limited to trading venues, order types, market data, applicable regulations and order routing.
  • Aptitude and ability to efficiently implement quantitative models, perform statistical data analysis, build/use data visualization tools and conduct simulation and back-testing of strategies.
  • Previous experience working effectively with front office trading teams.

Please apply within for further detail.

Algorithmic Trading Developer employer: Harvey Nash

As a leading liquidity and data solutions specialist based in London, we pride ourselves on fostering a dynamic work culture that champions innovation and collaboration. Our employees enjoy competitive salaries, including a generous £130,000 for the Algorithmic Trading Developer role, alongside opportunities for professional growth and development within a world-class financial services environment. With a hybrid working model, we offer the flexibility to balance personal and professional commitments while being part of a team that values excellence and creativity in trading technology.
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Contact Detail:

Harvey Nash Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Algorithmic Trading Developer

✨Tip Number 1

Familiarise yourself with the latest trends in algorithmic trading and the specific technologies mentioned in the job description, such as Java and Linux. This will not only help you understand the role better but also allow you to engage in informed discussions during interviews.

✨Tip Number 2

Network with professionals in the algorithmic trading space, especially those who work with equities and trading systems. Attend industry meetups or webinars to connect with potential colleagues and gain insights into what companies like us are looking for in candidates.

✨Tip Number 3

Brush up on your knowledge of market microstructure and trading workflows. Understanding how different order types and trading venues operate will give you a significant edge in interviews, showing that you can hit the ground running.

✨Tip Number 4

Prepare to discuss your previous experiences with quantitative models and statistical data analysis. Be ready to share specific examples of how you've implemented these in past roles, as this will demonstrate your practical skills and relevance to the position.

We think you need these skills to ace Algorithmic Trading Developer

Java Programming
Linux Operating System
Object-Oriented Design
Performance Optimisation
Test Automation
Customisation Flexibility
Trading Systems Development
Equities Market Microstructure Knowledge
Order Routing Experience
Statistical Data Analysis
Quantitative Model Implementation
Data Visualisation Tools
Simulation and Back-Testing of Strategies
Collaboration with Front Office Trading Teams

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience with Java, Linux, and OO Design. Emphasise any previous roles where you developed trading systems or worked with front office trading teams.

Craft a Strong Cover Letter: In your cover letter, explain why you're passionate about algorithmic trading and how your skills align with the requirements listed in the job description. Mention specific projects or achievements that demonstrate your expertise.

Showcase Relevant Experience: When detailing your work history, focus on your experience with equities, futures, or listed derivatives. Highlight any quantitative models you've implemented or statistical analyses you've performed.

Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial in the financial services industry.

How to prepare for a job interview at Harvey Nash

✨Showcase Your Technical Skills

Be prepared to discuss your experience with Java, Linux, and object-oriented design. Highlight specific projects where you developed trading systems or algorithms, and be ready to explain your thought process and the challenges you faced.

✨Understand Market Microstructure

Demonstrate your knowledge of equities market microstructure and trading workflows. Be ready to discuss different trading venues, order types, and how regulations impact trading strategies. This will show your depth of understanding in the field.

✨Quantitative Analysis Proficiency

Prepare to talk about your experience with quantitative models and statistical data analysis. Bring examples of how you've built or used data visualisation tools, and discuss any simulation or back-testing you've conducted on trading strategies.

✨Collaboration with Front Office Teams

Highlight your previous experiences working with front office trading teams. Discuss how you effectively communicated and collaborated with them to develop successful trading strategies, as this is crucial for the role.

Algorithmic Trading Developer
Harvey Nash
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