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For Companies At a Glance
- Tasks: Monitor and troubleshoot trading systems while automating tasks with Python.
- Company: Elite-level Trading Firm in London with a dynamic work environment.
- Benefits: Competitive salary of £120k plus generous bonuses and flexible working options.
- Why this job: Join a cutting-edge team and make an impact in the fast-paced trading world.
- Qualifications: Experience in app support, Linux, Python, and SQL required.
- Other info: Great opportunity for career growth in a high-stakes industry.
The predicted salary is between 72000 - 84000 £ per year.
Durlston Partners is working with an elite-level Trading Firm that is looking for a Trading Application Support Engineer to join their team.
Role:
- Production Stability: Monitor and troubleshoot real-time trading systems and order management systems (OMS/EMS).
- Incident Management: Diagnose outages, latency issues, and data breaks in a live market environment.
- Data Mining: Use SQL to query trade data, investigate breaks, and generate reports for the desk.
- Automation: Build monitoring tools and automate manual operational tasks using Python.
The Tech Stack:
- Linux: Strong command-line proficiency (grep, awk, sed, process management).
- SQL: Ability to write complex queries (joins, troubleshooting data integrity).
- Python: Scripting for automation and reading code to identify bugs.
Nice to have: FIX Protocol experience or Scheduler knowledge (AutoSys/Control-M).
How to Apply: Please apply to the advert to register your interest. Alternatively, please feel free to reach out to me for a confidential discussion: david@durlstonpartners.com
Trading Application Support Engineer employer: Durlston Partners
Contact Detail:
Durlston Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Trading Application Support Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the trading industry on LinkedIn or at events. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Show off your skills! If you’ve got a GitHub or portfolio showcasing your Python scripts or SQL queries, share it during interviews. It’s a great way to demonstrate your expertise.
✨Tip Number 3
Prepare for technical questions! Brush up on your Linux commands and be ready to troubleshoot scenarios. We want to see how you think on your feet!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step.
We think you need these skills to ace Trading Application Support Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Linux, Python, and SQL. We want to see how your skills match the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about trading application support and how your background makes you a perfect fit for our team at StudySmarter.
Showcase Problem-Solving Skills: In your application, give examples of how you've tackled real-time issues in previous roles. We love seeing candidates who can think on their feet and troubleshoot effectively!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Durlston Partners
✨Know Your Tech Stack
Make sure you brush up on your Linux, SQL, and Python skills before the interview. Be ready to discuss how you've used these technologies in past roles, especially in troubleshooting and automation tasks.
✨Prepare for Real-Time Scenarios
Since you'll be dealing with live trading systems, think of examples where you've managed incidents or outages. Be prepared to explain your thought process and how you approached problem-solving in those situations.
✨Showcase Your Data Skills
Be ready to demonstrate your SQL prowess. You might be asked to write queries on the spot or discuss how you've used data mining to resolve issues. Practice writing complex queries and think about how you've generated reports in previous roles.
✨Automate Your Answers
If you've built any monitoring tools or automated tasks using Python, make sure to highlight these experiences. Discuss the impact of your automation efforts on operational efficiency and how they improved production stability.
