At a Glance
- 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.
- Other info: Exciting opportunities for career growth in high-frequency trading.
- 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.
The predicted salary is between 43200 - 72000 £ per year.
Software Engineer | High-Frequency Trading
🚀 Connecting Quants & PMs with their ideal career paths 🚀
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
- Trading experience preferred but not essential
Our network:
- Pay: $150K-$800K+ based on experience
- Locations: London, Remote
From high-growth prop firms to established systematic funds.
Ready to engineer the markets? Apply now for confidential discussions.
Seniority level
- Not Applicable
Employment type
- Full-time
Job function
- Engineering and Finance
- Software Development, Capital Markets, and Financial Services
Software Engineer | High-Frequency Trading employer: Fionics
Fionics is an exceptional employer for elite quant traders, offering a dynamic work culture that fosters innovation and collaboration. With the opportunity to develop high-impact strategies across diverse asset classes, employees benefit from competitive compensation packages and significant growth potential in a remote or London-based setting. Join us to be part of a forward-thinking team that values expertise and encourages professional development.
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 space on LinkedIn. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Show off your skills! Build a small project or contribute to open-source related to trading systems. It’s a great way to demonstrate your expertise in C++, Python, or Java.
✨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 in the zone.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got a direct line to top firms looking for talent like yours. Let’s get you in front of the right people!
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! Use it to explain 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. Include examples in your application that 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 Inside Out
Make sure you brush up on your C++, Python, and Java skills. Be prepared to discuss your past projects in detail, especially those related to trading systems or performance optimisation. The more you can demonstrate your technical prowess, the better!
✨Understand the Trading Landscape
Even if you don't have direct trading experience, it's crucial to familiarise yourself with high-frequency trading concepts and market data infrastructure. This knowledge will help you answer questions confidently and show your genuine interest in the field.
✨Prepare for Problem-Solving Questions
Expect to tackle some coding challenges or algorithmic problems during the interview. Practice common coding problems and be ready to explain your thought process clearly. This will showcase your analytical skills and ability to think on your feet.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's trading platforms, team dynamics, or future projects. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
