Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and build analytical tools for quants and PMs to enhance research.
- Company: Join a forward-thinking firm that values innovation and collaboration.
- Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for growth.
- Why this job: Make a real impact by developing tools that drive decision-making in finance.
- Qualifications: Degree in CS or related, experience with Python, React, and SQL required.
- Other info: Dynamic role with hands-on tool-building experience in a fast-paced environment.
The predicted salary is between 36000 - 60000 £ per year.
Design internal analytical tools for quants and PMs—backtesting frameworks, visualization dashboards, data QA pipelines, custom trading interfaces.
Qualifications
- Degree in CS or related
- Experience with Python, web frameworks (React, Flask), SQL
- Strong UX awareness, software design skills, and financial data experience
What It Stands Out
Hands-on tool-building that accelerates research and decision-making.
Software Engineer – Quantitative Research Tools in London employer: Fynetra
Contact Detail:
Fynetra Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer – Quantitative Research Tools in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working in quantitative research or software engineering. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, React, or SQL. This is your chance to demonstrate your hands-on tool-building experience and UX awareness.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding financial data concepts. Practice common algorithms and data structures, and be ready to discuss your past projects in detail.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Software Engineer – Quantitative Research Tools in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, web frameworks like React and Flask, and SQL. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about building analytical tools for quants and PMs. Let us know how your background in software design and financial data makes you a great fit.
Showcase Your UX Awareness: Since strong UX awareness is key for this role, include examples of how you've designed user-friendly interfaces or improved user experiences in your past projects. We love seeing practical applications of your skills!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the position. Plus, it’s super easy—just upload your CV and fill in your details!
How to prepare for a job interview at Fynetra
✨Know Your Tech Stack
Make sure you’re well-versed in Python, React, and Flask. Brush up on your SQL skills too! Be ready to discuss how you've used these technologies in past projects, especially in building analytical tools.
✨Showcase Your UX Awareness
Since the role requires strong UX awareness, think about how you can demonstrate this during the interview. Prepare examples of how you've designed user-friendly interfaces or improved user experience in previous roles.
✨Prepare for Problem-Solving Questions
Expect questions that test your analytical thinking and problem-solving skills. Practice coding challenges or case studies related to quantitative research tools, as this will help you articulate your thought process clearly.
✨Connect Your Experience to Financial Data
If you have experience with financial data, be sure to highlight it! Discuss any relevant projects where you’ve worked with trading interfaces or backtesting frameworks, as this will show your understanding of the domain.
