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
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
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