Quantitative Trader

Company Description

At Axon Labs, we are building the DeepMind of real-time intelligence with the business model of Renaissance Technologies. We combine cognitive science, neuroscience, and machine learning to build brain-inspired prediction models that operate in real time and on the edge. Our technology is already proven in live markets, and we are focussing on high-frequency trading as the engine for long-term revenue generation.

Our vision expands beyond finance to power intelligent systems that learn faster, decide better, and run more efficiently across robotics, wearables, and autonomous systems.

We are hiring our first Founding Quant, a founding-level role to help design, build, and scale our research and trading platform.

Role Description

• Develop and test short-horizon predictive models and alpha signals.
• Design, implement, and optimise execution and market-making strategies.
• Build end-to-end trading pipelines, from research and simulation to deployment and live monitoring.
• Apply statistical, ML, and DL approaches to streaming time-series data.
• Take research from prototype → production → live trading across venues and instruments.
• Collaborate on real-time risk, monitoring, and control infrastructure.

Qualifications

Education

• Postgraduate degree in Mathematics, Computer Science, Physics, or Engineering from a top university.

Experience & Domain Knowledge

• 2–5 years of experience owning the full lifecycle of a trading strategy: idea generation → research → modelling → backtesting/simulation → implementation → live execution.
• Deep understanding of market microstructure, liquidity, and order-book dynamics.
• Experience in an HFT, proprietary trading, or systematic trading environment.

Technical Skills

• Strong Python skills for research, modelling, data engineering, and production workflows.
• Applied ML/DL experience in real-time time-series prediction and feature engineering.
• Ability to write clean, reliable, performance-oriented code from prototype to production.
• Proficiency in C++ for low-latency execution and optimisation.

Attributes

• Clear communicator with strong analytical rigour.
• End-to-end builder who enjoys taking ideas all the way to live trading.
• Thrives in a fast, iterative research + engineering environment.
• Bias towards action: experiments → insights → deployment.