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.
- Benefits: Enjoy competitive salary, potential remote work options, and a dynamic team culture.
- Why this job: Perfect for tech-savvy individuals passionate about finance and eager to make an impact.
- Qualifications: Experience in application support, strong Linux skills, and proficiency in Python and SQL required.
- Other info: Ideal for those who thrive under pressure and want to grow in the financial tech space.
The predicted salary is between 48000 - 72000 £ per year.
A leading proprietary trading firm, specializing in high-frequency and algorithmic trading across global financial markets are 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.
Seniority level
-
Seniority level
Not Applicable
Employment type
-
Employment type
Full-time
Job function
-
Job function
Finance
-
Industries
Financial Services, Capital Markets, and Investment Management
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Trading Systems Engineer employer: Radley James
Contact Detail:
Radley James Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Trading Systems Engineer
✨Tip Number 1
Familiarise yourself with the specific trading systems and applications used in high-frequency trading. Understanding the nuances of these systems will not only help you during interviews but also demonstrate your genuine interest in the role.
✨Tip Number 2
Brush up on your Linux/Unix skills, especially command-line tools. Being able to navigate and troubleshoot in these environments is crucial for a Trading Systems Engineer, and showcasing this knowledge can set you apart from other candidates.
✨Tip Number 3
Network with professionals in the trading and fintech sectors. Attend industry meetups or online webinars to connect with people who can provide insights into the role and potentially refer you to opportunities at firms like us.
✨Tip Number 4
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 quickly, as this is a key aspect of the job.
We think you need these skills to ace Trading Systems 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 and scripting languages like Python.
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 proficiency in SQL databases, networking fundamentals, and any experience with market data feeds or FIX protocol. This will demonstrate your suitability for the role.
Prepare for Technical Questions: Anticipate technical questions related to troubleshooting trading systems and be ready to discuss your approach to incident management and root cause analysis during interviews.
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 proficiency.
✨Understand the Trading Environment
Familiarise yourself with high-frequency trading concepts and the specific trading applications used by the firm. Showing that you understand the financial markets and how trading systems operate will set you apart from other candidates.
✨Prepare for Problem-Solving Scenarios
Expect to encounter hypothetical scenarios where you need to troubleshoot a trading system issue. Practice articulating your thought process clearly and logically, as this will demonstrate your problem-solving abilities under pressure.
✨Communicate Effectively
Strong communication skills are essential in this role. Be ready to explain complex technical issues in simple terms, especially when discussing with traders or non-technical team members. This will show your ability to collaborate effectively across teams.