Cooper Fitch
Quantitative Researcher / Research Engineer
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
We're partnering with a globally recognised institutional investment manager to expand a world-class Quantitative Research & Development team.
This isn't a traditional software engineering role. It isn't a data engineering role. It isn't a quant trading role.
We're looking for people who can develop original investment research and build the technology to turn those ideas into production.
You'll work alongside quantitative researchers, engineers and investment professionals solving some of the most challenging problems in systematic investing.
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.
We're looking for people who have experience with:
- Developing systematic investment strategies or quantitative research
- Building and validating alpha signals, factor models or portfolio construction frameworks
- Working with large financial or alternative datasets
- Designing research platforms, analytical tools or quantitative libraries
- Applying machine learning, statistics or optimisation to investment problems
- Turning research prototypes into robust production systems
Technical experience should include many of the following:
Get help with your application
Your very own career expert that helps elevate your application to the next level.
- Python
- SQL
- C++ or q/kdb+ (advantageous)
- Machine Learning
- Statistics
- Optimisation
- Time Series Analysis
- Financial Data Engineering
- Cloud Computing
- LLMs / NLP (applied to investment research)
Typical backgrounds include:
- Quantitative Research
- Systematic Equity Research
- Quantitative Fixed Income Research
- Quantitative Portfolio Research
- Financial Data Science
- Research Engineering
- Quantitative Development (research-focused)
- AI applied to Investment Research
“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