Paragon Alpha - Hedge Fund Talent Business
Quantitative Developer
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Overview
We're working with a leading systematic investment team looking to hire a Quantitative Developer / Researcher to join a growing credit and macro business.
Working directly alongside the Portfolio Manager, you'll play a key role in building the technology that underpins the team's research and live trading process. This is a hands-on opportunity at the intersection of software engineering, quantitative research, and trading, where you'll take ownership of core infrastructure while helping shape the evolution of the team's research platform. As the platform matures, there is genuine opportunity to contribute to alpha research, signal development, and portfolio construction.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Responsibilities
- Build and enhance the infrastructure supporting research and live trading.
- Develop distributed compute, venue connectivity, and automated reconciliation systems.
- Improve data quality, monitoring, and production performance across the research platform.
- Collaborate closely with the Portfolio Manager on research tooling and systematic strategy development.
- Write clean, scalable Python code for production environments.
Requirements
Get help with your application
Your very own career expert that helps elevate your application to the next level.
- 2+ years' experience in software engineering, quantitative development, or a similar technical role.
- Strong Python programming skills, including experience with libraries such as pandas and NumPy.
- Excellent software engineering fundamentals with a track record of building robust, production-grade systems.
- Experience with distributed computing, research platforms, venue connectivity, or automated data quality tooling is advantageous.
- Exposure to systematic trading, backtesting frameworks, or quantitative research environments is beneficial but not essential.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location