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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 48000 - 72000 £ 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 employer: Fynetra
Contact Detail:
Fynetra Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Developer – Investment Workflow
✨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 postings just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, C++, or any trading tools you've built. This is your chance to demonstrate your technical prowess beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of financial data sets and agile methodologies. We want you to feel confident discussing how you can own end-to-end workflow systems and collaborate with investment teams.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Quantitative Developer – Investment Workflow
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in quantitative roles and showcases your technical skills. We want to see how your background in CS, Engineering, or Maths aligns with the job description.
Showcase Relevant Projects: Include any projects that demonstrate your ability to work with high-volume financial data sets or build trading tools. This is your chance to show us what you can do!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about the investment industry and how your skills can contribute to our team. Keep it concise but impactful!
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 don’t miss out on any important updates from us!
How to prepare for a job interview at Fynetra
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills, as it's a must-have for this role. Be prepared to discuss your experience with C++, R, and any UI tools you've built. They’ll likely ask you to solve a coding problem or explain your thought process, so practice coding challenges beforehand.
✨Understand the Investment Workflow
Familiarise yourself with the end-to-end workflow systems in investment. Know how research, trading analytics, and execution fit together. This will help you demonstrate your understanding of the role and how you can contribute to their team.
✨Showcase Your Experience with Data
Since you'll be working with high-volume financial data sets, be ready to share specific examples of how you've handled similar data in the past. Discuss any challenges you faced and how you overcame them, as this shows your problem-solving skills.
✨Be Ready for Collaboration Questions
As this role involves working closely with investment teams, expect questions about teamwork and collaboration. Think of examples where you successfully worked in a team, especially in fast-paced environments, and be ready to share how you contributed to the team's success.
