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- Tasks: Build and optimise trading systems for a leading financial technology firm.
- Company: Join a top-tier fintech company with a focus on innovation.
- Benefits: Competitive salary, remote work options, and career advancement opportunities.
- Why this job: Make an impact in the fast-paced world of quantitative finance.
- Qualifications: 2+ years of software engineering experience; trading experience is a plus.
- Other info: Work remotely or in London, connecting with top trading firms.
The predicted salary is between 72000 - 120000 £ per year.
A leading financial technology firm is seeking a Software Engineer specializing in quantitative finance. You will build trading systems and optimize performance-critical applications.
Ideal candidates have 2+ years of software engineering experience, with trading experience valued but not essential.
Competitive compensation ranges from $150K to over $800K based on experience. Opportunities are available in London and remotely, facilitating connections with multiple top trading firms.
Quant Trading Systems Engineer — Remote employer: Fionics
Contact Detail:
Fionics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quant Trading Systems Engineer — Remote
✨Tip Number 1
Network like a pro! Reach out to folks in the finance and tech sectors on LinkedIn. Join relevant groups and participate in discussions to get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to trading systems or quantitative finance. This will give you an edge when chatting with potential employers.
✨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 sharpen your problem-solving skills.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by hiring managers.
We think you need these skills to ace Quant Trading Systems Engineer — Remote
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your software engineering experience, especially in areas relevant to quantitative finance. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about trading systems and how your background makes you a great fit for us. Keep it concise but engaging – we love a good story!
Showcase Relevant Projects: If you've worked on any projects related to trading systems or performance optimisation, make sure to mention them. We’re keen to see practical examples of your work that demonstrate your problem-solving skills and technical expertise.
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 the role. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Fionics
✨Know Your Tech Stack
Make sure you’re well-versed in the programming languages and technologies mentioned in the job description. Brush up on your knowledge of quantitative finance concepts and be ready to discuss how you've applied them in past projects.
✨Prepare for Technical Questions
Expect to face technical questions that test your problem-solving skills and coding abilities. Practice common algorithms and data structures, and consider doing mock interviews to get comfortable with the format.
✨Showcase Your Projects
Have a few key projects ready to discuss that highlight your experience in building performance-critical applications. Be prepared to explain your thought process, the challenges you faced, and how you overcame them.
✨Understand the Trading Landscape
Even if you don’t have direct trading experience, it’s crucial to understand the basics of trading systems and market dynamics. Research current trends in quantitative finance and be ready to share your insights during the interview.
