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- Tasks: Develop high-performance trading systems using C++ and Python.
- Company: Dynamic financial tech company in Greater London.
- Benefits: Competitive salary, flexible hours, and opportunities for skill development.
- Other info: Exciting role with potential for career advancement in a fast-paced environment.
- Why this job: Join a cutting-edge team and enhance your coding skills in finance tech.
- Qualifications: Proficiency in C++ and Python; no finance experience needed.
The predicted salary is between 60000 - 80000 £ per year.
A financial technology company in Greater London is seeking a C++ and Python developer. Join their middle-office team to work on trade reconciliation, back-testing frameworks, and trading monitoring systems.
The role involves writing high-performance code and requires skills in C++ and Python, as well as knowledge of testing methodologies. No finance background is required, making it an excellent opportunity for developers focusing on software performance and data engineering.
High-Throughput C++/Python Trading Systems Engineer employer: LMAX Group
Contact Detail:
LMAX Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land High-Throughput C++/Python Trading Systems Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the financial tech scene, especially those who work with C++ and Python. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a GitHub repo with some cool projects showcasing your C++ and Python prowess. This gives potential employers a taste of what you can do beyond the usual application.
✨Tip Number 3
Prepare for technical interviews by brushing up on algorithms and data structures. We all know coding challenges can be tricky, so practice makes perfect!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace High-Throughput C++/Python Trading Systems Engineer
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your C++ and Python skills in your application. We want to see examples of your high-performance code and any projects that showcase your expertise in these languages.
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific requirements of the role. Mention your experience with trade reconciliation or back-testing frameworks if you have it.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that get straight to the heart of your qualifications and experiences without unnecessary fluff.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to track your application and ensure it reaches the right people!
How to prepare for a job interview at LMAX Group
✨Know Your Code Inside Out
Make sure you’re comfortable discussing your C++ and Python projects. Be ready to explain your thought process, the challenges you faced, and how you optimised your code for performance. This will show your technical depth and problem-solving skills.
✨Brush Up on Testing Methodologies
Since the role involves writing high-performance code, understanding testing methodologies is crucial. Familiarise yourself with unit testing, integration testing, and performance testing. Be prepared to discuss how you’ve implemented these in your past projects.
✨Understand Trade Reconciliation Basics
Even though a finance background isn’t required, having a basic understanding of trade reconciliation and back-testing frameworks can set you apart. Do some research on these concepts so you can engage in meaningful conversations during the interview.
✨Show Your Passion for Performance
Express your enthusiasm for software performance and data engineering. Share examples of how you’ve improved system efficiency or handled large datasets. This will demonstrate your commitment to delivering high-quality solutions in a fast-paced environment.