How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Location: London (on-site)
Company: Good Markets
Role Type: Full-time
About Us
Good Markets is building advanced algorithmic trading systems across FX and crypto, combining dynamic hedging, multi-agent grid logic, machine-learning techniques, and high-frequency data insights. We’re expanding the research team with exceptional talent who want to push the boundaries of systematic trading and simulation at scale.
The Role
We are looking for a Quant Researcher with a PhD in Particle Physics, Applied Mathematics, Computer Science, Statistics, Engineering, or a similarly quantitative field.
Your work will directly influence the development of our trading engines, volatility prediction models, dynamic thresholds, and multi-layered risk controls.
You’ll Work Closely With The Founders On
- Designing, testing, and refining systematic trading strategies
- Building predictive models for volatility, regime detection, and market structure
- Designing dynamic thresholding and adaptive decision systems
- Running large-scale simulations and time-series modelling
- Contributing to signal research and automated execution improvements
- Helping shape the next generation of Good Markets’ algorithmic frameworks
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.
What You’ll Need
- PhD in a quantitative field (Particle Physics strongly preferred)
- Strong mathematical modelling background
- Solid experience with Python or C++ (bonus if you know pandas, numpy, numba, multiprocessing, or GPU workflows)
- Ability to structure and analyse large time-series datasets
- Curiosity and creativity in solving complex problems
- Interest in trading, market microstructure, or systematic strategies
- Ability to work on-site in our London office
Nice To Have
- Experience with ML/AI for time-series prediction
- Exposure to FX, crypto, or high-frequency data
- Experience designing or evaluating algos, simulations, or optimisation routines
- Understanding of statistics, stochastic processes, PDEs, or signal processing
- Curiosity about agent-based modelling, reinforcement learning, or market regimes
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Why Join Us
- Work directly with founders on real trading systems deployed in live markets
- Zero bureaucracy, we build, test, iterate, and ship
- Massive opportunity to shape the research culture from day one
- Competitive compensation with strong upside potential
- High-energy environment where physics-level thinking is genuinely valued
If you’re a builder, a thinker, and someone who loves wrestling with complex systems, we’d love to speak with you.
How To Apply
Submit your CV and a short note about your research background to: hr@goodmarkets.com
“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