We are partnered with an ambitious, rapidly growing proprietary trading startup founded five years ago. With a fully self-developed intraday statistical trading platform, they trade WTI, RBOB, Natural Gas, Gold, and S&P futures directly on the CME. The firm has been live for six months with 30–40% net monthly returns and is preparing to expand its portfolio and strategy offerings.
Role Purpose:
We are seeking an Algorithmic Trader to join a small, high-performing team. The successful candidate will develop, support, and implement new strategies, enhance our existing statistical trading models, and contribute to expanding the firm’s intraday trading capabilities.
Key Responsibilities:
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Develop, implement, and optimise quantitative and algorithmic trading strategies across multiple asset classes (WTI, RBOB, Nat Gas, Gold, S&P futures).
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Collaborate with the existing coding team to maintain and improve the proprietary trading platform.
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Identify new opportunities to build and expand the trading portfolio.
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Support live trading, monitoring performance, risk, and execution metrics.
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Engage with brokers and external partners (e.g., Stonex) to optimise trading efficiency and execution.
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Maintain robust risk management practices and ensure compliance with internal guidelines.