15 Aug
|
Resolute
|
Ahmedabad
15 Aug
Resolute
Ahmedabad
About Us:
We are a current, dynamic trading desk focused on leveraging technology and quantitative strategies to optimize market opportunities. With a foundation built on innovation, data- driven insights, and financial expertise, we aim to create cutting-edge trading systems to deliver consistent performance.
Position Overview:
We are seeking an Algorithmic Trading Developer with strong expertise in finance and quantitative strategies to play a key role in establishing and scaling our trading desk. The ideal candidate will design, develop, and optimize trading algorithms and strategies for multiple asset classes. This role offers a unique opportunity to be involved in the inception of a trading desk, contributing to its core infrastructure and strategy development.
Key Responsibilities:
Algorithm Development:
- Design, implement, and optimize low-latency, high-frequency trading algorithms.
- Develop and back test quantitative trading strategies using historical and real-time data.
Data Analysis & Strategy:
- Analyze large datasets to identify market patterns and opportunities.
- Collaborate with quant researchers to translate financial models into executable algorithms.
- Continuously improve strategy performance through robust research and testing.
Infrastructure Development:
- Build and maintain trading infrastructure, including order management systems. PnL monitoring system and market connectivity.
- Ensure the reliability and scalability of trading systems.
- Collaborate with IT and operations teams to ensure seamless integration of systems.
Risk Management:
- Implement robust risk controls within algorithms to minimize operational and financial risks.
- Monitor and analyze algorithmic performance, ensuring compliance with regulatory standards.
Qualifications:
Technical Skills:
- Programming Languages: Strong proficiency in Python, ability to write clean, optimized, and well-documented code.
- Trading Platforms s APIs: Experience with algorithmic trading pla
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