Quant Developer - Algorithmic Trading Applications

Responsibilities : Engage in high-frequency trading across equity and commodity markets, employing advanced algorithms and strategies to maximize profitability and minimize risk. Design and develop innovative trading strategies using historical market data. This involves : - Conducting thorough data analysis to identify potential trading opportunities. - Generating and refining ideas based on market trends and statistical models. - Creating robust quantitative models that can be deployed in live trading environments using in-house infrastructure. - Continuously improve and optimize existing trading models to enhance performance and adapt to changing market conditions. - This includes back testing new approaches and implementing updates based on performance metrics. - The quality of trading signals and effectiveness of trading parameters. - Order execution quality, including latency and slippage. - Discrepancies between simulation results and live trading outcomes to refine strategies further. Qualifications : Experience : - Proven experience in developing model-driven, fully automated trading strategies, ideally within a reputable trading firm or financial institution. Ownership : - Strong willingness to take full ownership of trading strategies, from conception through implementation and monitoring. Educational Background : - A degree from a top-tier college/university, preferably in Computer Science, Mathematics, Statistics, or a related field. - Advanced degrees (Master's or PhD) are a plus. Programming Skills : - Proficiency in C++ or another programming language (such as Python, Java, or R) with a strong emphasis on algorithmic trading applications (ref:hirist.tech)

Location: in, IN

Posted Date: 11/6/2024