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- Tasks: Build and optimise trading systems and market data tools.
- Company: Leading financial technology firm based in Greater London.
- Benefits: Attractive salary, remote work options, and career advancement.
- Other info: Flexible working environment with exciting growth opportunities.
- Why this job: Join a dynamic team and make an impact in the finance world.
- Qualifications: 2+ years of software engineering experience; trading knowledge is a plus.
The predicted salary is between 72000 - 120000 £ per year.
A leading financial technology firm in Greater London is seeking Software Engineers for various trading systems and market data infrastructure projects. The role involves building tools and optimizing financial applications. Ideal candidates have 2+ years of software engineering experience and preferably some trading knowledge. An attractive salary range of $150K-$800K+ is offered, depending on experience. Opportunities are available both in London and remotely.
Quantitative Trading Software Engineer — Remote employer: Fionics
Contact Detail:
Fionics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Trading Software 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 market data. 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 keep your skills sharp.
✨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 our hiring team.
We think you need these skills to ace Quantitative Trading Software Engineer — Remote
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your software engineering experience and any relevant trading knowledge. 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 quantitative trading and how your background makes you a perfect fit for our team. Keep it engaging and personal.
Showcase Your Projects: If you've worked on any projects related to trading systems or market data, make sure to mention them! We love seeing real-world applications of your skills, so include links or descriptions of your work.
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’s super easy!
How to prepare for a job interview at Fionics
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description. Brush up on your programming languages and frameworks relevant to quantitative trading, as you might be asked to solve coding problems or discuss your past projects.
✨Understand Financial Concepts
Even if you're primarily a software engineer, having a grasp of trading concepts can set you apart. Familiarise yourself with basic trading strategies, market data structures, and financial instruments to show that you understand the domain you're working in.
✨Prepare for Problem-Solving Questions
Expect to face technical questions that assess your problem-solving skills. Practice coding challenges and algorithm questions that are common in software engineering interviews, especially those related to optimising applications and handling large datasets.
✨Showcase Your Projects
Be ready to discuss your previous work experience and projects in detail. Highlight any relevant projects that involved trading systems or financial applications, and explain your role, the challenges you faced, and how you overcame them.