Develop and execute algorithmic strategies to identify and capitalize on market inefficiencies across multiple asset classes using high-frequency algorithmic trading strategies.
Continuously monitor and optimize trading performance by implementing real-time adjustments to algorithm configurations in a fast-paced low-latency environment.
Collaborate with technology and operations teams to ensure smooth execution of trading strategies and maintain system performance.
Enhance the firm's 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 cutting-edge 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 operations.
Qualifications:
3 years of experience in high-frequency trading with a strong focus on algorithmic strategies.
Strong background in the U.S. or Indian markets.
Strong proficiency in Python / C / Rust for algorithm development.
Experience in low-latency trading environments with strong expertise in FPGA systems (HLS experience is a plus).
Ability to transfer, implement, and adapt proprietary trading strategies.
In-depth understanding of market structure, regulatory landscape, and current market opportunities.
A results-oriented mindset with a passion for high-performance trading.