Develop and execute algorithmic strategies to identify and capitalize on market inefficiencies across multiple asset classes using highfrequency algorithmic trading strategies.
Continuously monitor and optimize trading performance by implementing realtime adjustments to algorithm configurations in a fastpaced lowlatency environment.
Collaborate with technology and operations teams to ensure smooth of trading strategies and maintain system performance.
Enhance the firms FPGA trading systems by working with the engineering team to optimize hardware acceleration for improved strategy performance and reduced latency.
Oversee risk management for your strategies controlling key metrics including PnL slippage latency and transaction costs.
Collaborate with engineering teams to implement cuttingedge solutions to enhance infrastructure speed stability and efficiency.
Oversee and report on key metrics including risk PnL and other performance indicators.
Coordinate necessary local support for smooth operational .
Qualifications :
3 years of experience in highfrequency trading with a strong focus in algorithmic strategies.
Strong background in the U.S. or Indian markets.
Strong proficiency in Python / C / Rust for algorithm development.
Experience in lowlatency trading environments with strong expertise in FPGA systems (HLS experience is a plus).
Ability to transfer implement and adapt proprietary trading strategies.
Indepth understanding of market structure regulatory landscape and current market opportunities.
A resultsoriented mindset with a passion for highperformance trading.
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