sFOX is seeking an Algorithmic Trader to join their team. The ideal candidate will possess strong programming skills in Python and preferably a lower-level language, along with experience in HFT, liquidity, execution, and crypto. This role offers a significant degree of independence to develop algorithms and enhance existing internal strategies.
The Algorithmic Trader will be responsible for creating new trading products across various asset classes, including spot, derivatives, and DeFi. They will also improve existing strategies and expand them into new markets. The role involves building and enhancing data analytics capabilities to generate insights, automate reporting, optimize strategies, and communicate findings to management.
The Algorithmic Trader will collaborate closely with sales and trading partners to improve liquidity on the sFOX platform, price OTC for clients, and manage associated risks. They will also oversee internal trading books, risk management, and internal trading applications. The role includes designing, implementing, and improving market-making and taking models, developing short-term risk management techniques, and optimizing parameters through backtesting. Identifying market microstructure patterns and trading opportunities, as well as improving and maintaining the current sFOX infrastructure in Golang, are also key aspects of the position.
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sFOX is a prime dealer offering a platform connecting traders to liquidity from numerous exchanges and OTC desks. Their platform provides best execution services with a smart order router that algorithmically finds competitive prices. Committed to investor protection, sFOX is SOC 2 certified, providing market access 24/7 with high uptime. Founded in 2014 and backed by notable investors, sFOX aims to open financial markets to everyone.
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