Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Support trading systems, troubleshoot issues, and ensure optimal performance in a fast-paced environment.
- Company: Join a leading proprietary trading firm excelling in high-frequency and algorithmic trading globally.
- Benefits: Enjoy a dynamic work culture with opportunities for growth and learning in finance and technology.
- Why this job: Perfect for tech-savvy individuals passionate about finance and eager to solve real-time challenges.
- Qualifications: Experience in application support, strong Linux/Unix skills, and proficiency in Python and SQL required.
- Other info: Ideal for those who thrive under pressure and want to make an impact in financial markets.
The predicted salary is between 36000 - 60000 £ per year.
A leading proprietary trading firm, specializing in high-frequency and algorithmic trading across global financial markets, is looking to hire a Trading Support Engineer.
Role Overview: As a Trading Systems Support Engineer, you will be the first point of contact for real-time trading system issues, ensuring maximum uptime and performance. You will work closely with traders, developers, and infrastructure teams to diagnose, troubleshoot, and resolve issues in a fast-paced environment. This is an excellent opportunity for someone with strong technical skills and an interest in financial markets.
Key Responsibilities:
- Provide support for proprietary trading applications, ensuring minimal downtime.
- Monitor and troubleshoot trading system performance, network connectivity, and order flow.
- Investigate and resolve trade-related queries from traders and operations teams.
- Work closely with developers to enhance system stability, performance, and automation.
- Deploy software updates and configuration changes while ensuring system integrity.
- Analyze logs and application metrics to proactively identify and mitigate potential issues.
- Participate in incident management, including root cause analysis and post-mortem reviews.
- Contribute to documentation and knowledge-sharing across support and development teams.
Key Requirements:
- Experience in application support, preferably in trading, banking, or fintech.
- Strong knowledge of Linux/Unix operating systems and command-line tools.
- Proficiency in scripting languages such as Python.
- Experience with SQL databases and data querying.
- Understanding of networking fundamentals (TCP/IP, multicast, latency optimization).
- Ability to handle high-pressure situations and make quick, informed decisions.
- Excellent communication skills and a proactive, problem-solving mindset.
- Prior experience with market data feeds, FIX protocol, or trading exchanges is a plus.
Trading Systems Support Engineer employer: Radley James
Contact Detail:
Radley James Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Trading Systems Support Engineer
✨Tip Number 1
Familiarise yourself with the specific trading systems and technologies mentioned in the job description. Understanding how proprietary trading applications work, along with knowledge of FIX protocol and market data feeds, will give you an edge during interviews.
✨Tip Number 2
Brush up on your Linux/Unix skills, especially command-line tools. Being able to demonstrate your proficiency in these areas can significantly boost your confidence and show that you're ready to tackle the technical challenges of the role.
✨Tip Number 3
Prepare for scenario-based questions that test your problem-solving abilities under pressure. Think of examples from your past experiences where you successfully diagnosed and resolved technical issues, particularly in a fast-paced environment.
✨Tip Number 4
Network with professionals in the trading and fintech industry. Engaging with others in the field can provide valuable insights and potentially lead to referrals, making it easier for you to land an interview with us at StudySmarter.
We think you need these skills to ace Trading Systems Support Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in application support, particularly in trading or fintech. Emphasise your technical skills, especially with Linux/Unix systems, Python scripting, and SQL databases.
Craft a Strong Cover Letter: In your cover letter, express your passion for financial markets and your problem-solving mindset. Mention specific examples of how you've successfully resolved technical issues in high-pressure environments.
Showcase Technical Skills: Clearly outline your technical skills related to the job description. Include any experience with networking fundamentals, market data feeds, and the FIX protocol, as these are valuable for the role.
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 a trading environment.
How to prepare for a job interview at Radley James
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Linux/Unix systems and scripting languages like Python. You might be asked to solve a technical problem on the spot, so brush up on your command-line skills and be ready to demonstrate your knowledge.
✨Understand the Trading Environment
Familiarise yourself with high-frequency trading and algorithmic trading concepts. Knowing how trading systems operate and the importance of uptime will show your genuine interest in the role and the industry.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities under pressure. Think of examples from your past experiences where you successfully diagnosed and resolved issues quickly, especially in a trading or fintech context.
✨Communicate Clearly and Confidently
Since you'll be liaising with traders and developers, strong communication skills are essential. Practice explaining complex technical concepts in simple terms, as this will demonstrate your ability to bridge the gap between technical and non-technical teams.
