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- Tasks: Build cutting-edge trading systems and optimise financial applications.
- Company: Join a network of top trading firms in a dynamic environment.
- Benefits: Competitive pay ranging from $150K to $800K+, with remote options.
- Why this job: Make an impact in the fast-paced world of quantitative finance.
- Qualifications: 2+ years in software engineering with strong C++/Python/Java skills.
- Other info: Exciting opportunities for career growth in high-frequency trading.
The predicted salary is between 43200 - 72000 £ per year.
Software Engineer – Quantitative Finance
40+ top trading firms seeking exceptional engineers. Multiple immediate openings.
What you\’ll do:
- Build trading systems and market data infrastructure
- Develop quantitative research platforms and tools
- Optimize performance-critical financial applications
Requirements:
- 2+ years software engineering experience
- Strong C++/Python/Java skills
- Trading experience preferred but not essential
Our network:
- Pay: $150K-$800K+ based on experience
- Locations: London, Remote
- Focus: Trading platforms, risk systems, data infrastructure
From high-growth prop firms to established systematic funds.
Ready to engineer the markets? Apply now for confidential discussions.
Software Engineer | High-Frequency Trading employer: Fionics
Contact Detail:
Fionics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer | High-Frequency Trading
✨Tip Number 1
Network like a pro! Reach out to folks in the trading and finance sectors on LinkedIn. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Show off your skills! Create a GitHub profile showcasing your projects, especially those related to trading systems or quantitative finance. It’s a great way to demonstrate your expertise beyond just a CV.
✨Tip Number 3
Prepare for technical interviews by brushing up on algorithms and data structures. Practice coding challenges on platforms like LeetCode or HackerRank to get into the right mindset.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got a direct line to top trading firms looking for talent like yours. It’s the best way to get noticed!
We think you need these skills to ace Software Engineer | High-Frequency Trading
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with C++, Python, or Java. We want to see how your skills align with 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! Tell us why you’re passionate about quantitative finance and how your background makes you a great fit for our team. Keep it concise but impactful!
Showcase Your Problem-Solving Skills: In the world of high-frequency trading, problem-solving is key. Use your application to demonstrate how you've tackled complex challenges in your previous roles. We love seeing innovative thinking!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you get the attention you deserve. Let’s engineer the markets together!
How to prepare for a job interview at Fionics
✨Know Your Tech Stack
Make sure you’re well-versed in C++, Python, and Java. Brush up on your coding skills and be ready to demonstrate your knowledge through practical examples or coding challenges during the interview.
✨Understand Trading Systems
Even if you don’t have direct trading experience, it’s crucial to understand how trading systems work. Familiarise yourself with market data infrastructure and quantitative finance concepts to show your enthusiasm and readiness to learn.
✨Prepare for Problem-Solving Questions
Expect to tackle performance-critical scenarios. Practice solving algorithmic problems and optimising code, as this will likely come up in technical interviews. Use platforms like LeetCode or HackerRank to sharpen your skills.
✨Showcase Your Projects
Bring examples of your previous work, especially any projects related to trading or financial applications. Be prepared to discuss your role, the technologies used, and the impact of your contributions to demonstrate your hands-on experience.
