- 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 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 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 operational execution.
Qualifications :
- 3 years of experience in high-frequency 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 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.
Additional Information :
Remote Work :
No
Employment Type :
Full-time
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 ...
- 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 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 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 operational execution.
Qualifications :
- 3 years of experience in high-frequency 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 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.
Additional Information :
Remote Work :
No
Employment Type :
Full-time
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