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Stanford Black Limited in New York is seeking a Senior Java Quant Developer to join our Equities Algo Trading Technology team. You will build high-performance, low-latency trading systems in Java spanning execution, order management and real-time market data.
The role emphasizes scalability, microseconds latency, and hands-on experience with FIX, SOR, multithreading, and performance tuning in an equities trading environment.
A Globally renowned Hedge Fund is looking to hire a Senior Java Quant Developer into its Equities Algo Trading Technology team.
You’d be building high-performance, low-touch trading systems in Java across algorithmic execution, order management and real-time market data. The entire group has a strong focus on scalability and performance, operating in microseconds latency across the board.
They’re looking for strong hands-on Java engineers with experience across the electronic trading landscape, ideally including FIX, SOR, multithreading and performance optimisation. Experience with Equities/Options, Kafka/AMPS or real-time market data would be particularly valuable.
This is the highest revenue generating area of the fund, and the callibre is unrivalled.
Requirements