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For Companies At a Glance
- Tasks: Own and optimise workflow systems from research to execution in finance.
- Company: Fast-paced investment firm with a collaborative environment.
- Benefits: Hybrid work model, competitive salary, and opportunities for growth.
- Why this job: Directly impact trading strategies while working with experienced professionals.
- Qualifications: Degree in CS, Engineering, Math, or Physics; strong Python skills required.
- Other info: Join a dynamic team and enhance your career in the investment industry.
The predicted salary is between 36000 - 60000 £ per year.
Location: Perm, Hybrid
Role Overview
Own end-to-end workflow systems—from research, trading analytics, to execution. Build data pipelines, trading UI tools, and collaborate directly with investment teams.
Must-Haves
- BS/MS in CS, Engineering, Math, Physics
- 3+ years in quant/technical roles within investment industry
- Strong Python; C++, R, Node.js/React are a plus
- Experience with high-volume financial data sets and agile execution environments
Why It Stands Out
Work directly with PMs in a small, fast-paced firm
Quantitative Developer – Investment Workflow in London employer: Fynetra
Contact Detail:
Fynetra Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Developer – Investment Workflow in London
✨Tip Number 1
Network like a pro! Reach out to folks in the investment industry, especially those who work as Quantitative Developers. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, C++, or any trading UI tools you've built. This is your chance to demonstrate your expertise beyond just a CV.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding high-volume financial data sets. Practice common quant problems and be ready to discuss your thought process during the interview.
✨Tip Number 4
Apply through our website! We love seeing candidates who take the initiative. Plus, it gives us a chance to see your enthusiasm for the role right from the start.
We think you need these skills to ace Quantitative Developer – Investment Workflow in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your technical skills, especially in Python and any other languages mentioned like C++ or R. We want to see how your experience aligns with the role, so don’t hold back on showcasing your projects or relevant work!
Tailor Your Application: Take a moment to customise your CV and cover letter for this specific role. We love seeing how you connect your background in CS, Engineering, or Maths to the investment workflow. It shows us you’re genuinely interested in the position!
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary. Make it easy for us to see why you’d be a great fit for our team!
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details directly and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Fynetra
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python, C++, and any other relevant languages mentioned in the job description. Brush up on your coding skills and be ready to tackle technical questions or even live coding challenges during the interview.
✨Understand the Investment Workflow
Familiarise yourself with the end-to-end workflow systems in investment, from research to execution. Being able to discuss how your previous experience aligns with these processes will show that you’re not just a tech whiz but also understand the financial context.
✨Prepare for Data Discussions
Since you'll be working with high-volume financial data sets, be prepared to discuss your experience handling such data. Think of specific examples where you’ve built data pipelines or analytics tools, and be ready to explain your approach and the impact it had.
✨Show Your Collaborative Spirit
This role involves working closely with investment teams, so highlight your teamwork skills. Share examples of how you've successfully collaborated in fast-paced environments, and express your enthusiasm for working directly with portfolio managers.
