Algorithmic Trading Developer
Algorithmic Trading Developer

Algorithmic Trading Developer

London Full-Time 78000 - 182000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Join our team to develop cutting-edge trading systems and algorithms.
  • Company: Be part of a leading liquidity and data solutions specialist in the financial sector.
  • Benefits: Enjoy a hybrid work model and a competitive salary of £130,000.
  • Why this job: Work in a dynamic environment with a focus on innovation and collaboration.
  • Qualifications: A degree in Computer Science or related field, plus experience in Java and trading systems.
  • Other info: Opportunity to collaborate with front office trading teams and enhance your skills.

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

Algorithmic Trading Developer – Java, Linux, OO Design, Trading Systems, Equities, Front Office – Sought by Leading liquidity and data solutions specialist – Permanent – Hybrid – London Salary £130,000 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 George Morgan-Giles – Harvey Nash #J-18808-Ljbffr

Algorithmic Trading Developer employer: Harvey Nash Group

As a leading liquidity and data solutions specialist, we pride ourselves on fostering a dynamic and innovative work culture that empowers our employees to excel in their roles. Our London-based team enjoys a hybrid working model, competitive salary, and ample opportunities for professional growth, making it an ideal environment for talented Algorithmic Trading Developers looking to make a significant impact in the financial services sector.
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Contact Detail:

Harvey Nash Group 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 meaningful conversations during interviews.

✨Tip Number 2

Network with professionals in the trading technology space, especially those who work with equities and trading systems. Attend industry meetups or webinars to connect with potential colleagues and gain insights into the company culture and expectations.

✨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 an edge in discussions about your experience and how it relates to the role.

✨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 knowledge and problem-solving skills.

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
Backend Development for Trading Systems
Knowledge of Equities Market Microstructure
Understanding of Trading Workflows
Experience with Execution Algorithms
Proprietary Trading Strategies
Risk Trading Techniques
Smart Routing Mechanisms
Statistical Data Analysis
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. Include specific examples of trading systems you've developed, focusing on performance and flexibility.

Craft a Strong Cover Letter: In your cover letter, emphasise your understanding of equities market microstructure and your experience with quantitative models. Mention how your skills align with the requirements of the role.

Showcase Relevant Projects: If you have worked on any relevant projects or trading strategies, include them in your application. Detail your role, the technologies used, and the outcomes achieved to demonstrate your expertise.

Highlight Collaboration Skills: Since the role involves working with front office trading teams, mention any previous experiences where you collaborated effectively with such teams. This will show your ability to communicate and work in a fast-paced environment.

How to prepare for a job interview at Harvey Nash Group

✨Showcase Your Technical Skills

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

✨Understand Market Microstructure

Familiarise yourself with the intricacies of equities market microstructure and trading workflows. Be ready to discuss different trading venues, order types, and how they impact trading strategies. This knowledge will demonstrate your expertise and interest in the field.

✨Quantitative Analysis Proficiency

Highlight your ability to implement quantitative models and perform statistical data analysis. Prepare to discuss any tools or methods you've used for data visualisation, simulation, and back-testing of strategies, as this is crucial for the role.

✨Collaboration with Front Office Teams

Emphasise your experience working with front office trading teams. Share specific examples of how you’ve collaborated effectively, as this will show your ability to communicate and work within a fast-paced trading environment.

Algorithmic Trading Developer
Harvey Nash Group
Location: London
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