At a Glance
- Tasks: Build and optimise trading systems and market data infrastructure for top firms.
- Company: Join a leading network of 40+ top trading firms in a dynamic environment.
- Benefits: Competitive salary, flexible remote work options, and opportunities for professional growth.
- Other info: Exciting opportunities for career advancement in a collaborative and innovative setting.
- Why this job: Make an impact in the fast-paced world of quantitative finance with cutting-edge technology.
- Qualifications: 2+ years in software engineering with strong skills in C++, Python, or Java.
The predicted salary is between 60000 - 80000 £ per year.
Software Engineer - Quantitative Finance
40+ top trading firms seeking exceptional engineers. Multiple immediate openings.
- Build trading systems and market data infrastructure
- Optimize performance-critical financial applications
Requirements:
- 2+ years software engineering experience
- Strong C++/Python/Java skills
- Trading experience preferred but not essential
Our network: London, Remote
Focus: Trading platforms, risk systems, data infrastructure
Developer (software) employer: Fionics
Join a leading network of top trading firms in London, where innovation meets opportunity. As a Software Engineer in Quantitative Finance, you'll thrive in a dynamic work culture that values collaboration and creativity, while enjoying competitive benefits and ample opportunities for professional growth. With a focus on cutting-edge trading platforms and data infrastructure, this role offers a unique chance to make a significant impact in the financial technology landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Developer (software)
✨Tip Number 1
Network like a pro! Reach out to folks in the trading and finance sectors. Attend meetups or webinars, and don’t be shy about asking for informational interviews. You never know who might have a lead on that perfect developer role!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving C++, Python, or Java. If you’ve worked on any trading systems or performance-critical applications, make sure they’re front and centre!
✨Tip Number 3
Tailor your approach! When applying through our website, customise your application to highlight your relevant experience in software engineering and any trading knowledge you have. Make it clear why you’re the best fit for the role!
✨Tip Number 4
Prepare for technical interviews! Brush up on your coding skills and be ready to solve problems on the spot. Practice common algorithms and data structures, and don’t forget to showcase your thought process during the interview!
We think you need these skills to ace Developer (software)
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 software engineering in quantitative finance and how your background makes you a great fit for our team.
Showcase Your Problem-Solving Skills:In the world of trading systems, problem-solving is key. Use your application to demonstrate how you've tackled challenges in past projects, especially those that required optimising performance-critical applications.
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’re considered for all the exciting opportunities we have available!
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 ready to discuss your past projects and how you've used these languages to solve real-world problems, especially in performance-critical applications.
✨Understand the Trading Landscape
Even if you don't have direct trading experience, it's crucial to familiarise yourself with trading systems and market data infrastructure. Read up on how trading platforms work and be prepared to discuss how your skills can contribute to optimising these systems.
✨Prepare for Technical Challenges
Expect to face technical questions or coding challenges during the interview. Practice common algorithms and data structures, and consider doing mock interviews to sharpen your problem-solving skills under pressure.
✨Showcase Your Passion
Let your enthusiasm for software engineering and quantitative finance shine through. Share any personal projects or relevant experiences that demonstrate your commitment to the field and your eagerness to learn and grow within the role.
