Quantitative Researcher – High Frequency Trading
A world leading prop firm is seeking a highly skilled and experienced Quantitative Researcher to join their world-class HFT team. In this role, you will be responsible for designing, implementing, and optimizing high-performance algorithmic trading strategies. You will collaborate with top academic minds in research and engineering to continually improve existing strategies and stay at the forefront of quantitative trading advancements.
Responsibilities:
Design, implement, and optimize HFT algorithmic strategies. Collaborate with the best academic minds in research and engineering to continually improve existing strategies and develop new ones. Manage risk effectively to optimize trading performance. Investigate and implement new trading products and strategies. Stay up-to-date with the latest advancements in quantitative trading and apply them to improve trading strategies. Qualifications:
Bachelor’s or master’s degree in a quantitative field such as Mathematics, Physics, Statistics, Computer Science, or related fields. Proven track record of designing, implementing, and optimizing algorithmic trading strategies. Proficient in machine learning techniques and tools. Excellent analytical and problem-solving skills. Strong coding skills in languages such as Python, C++, or Java. Ability to work in a fast-paced, dynamic environment. Strong communication and leadership skills. A competitive compensation package, including a base salary and performance-based bonuses, is offered. You will have the opportunity to work with cutting-edge technology and collaborate with top academic minds in the field of quantitative trading. Please apply now for more information.
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Design, implement, and optimize HFT algorithmic strategies. Collaborate with the best academic minds in research and engineering to continually improve existing strategies and develop new ones. Manage risk effectively to optimize trading performance. Investigate and implement new trading products and strategies. Stay up-to-date with the latest advancements in quantitative trading and apply them to improve trading strategies. Qualifications:
Bachelor’s or master’s degree in a quantitative field such as Mathematics, Physics, Statistics, Computer Science, or related fields. Proven track record of designing, implementing, and optimizing algorithmic trading strategies. Proficient in machine learning techniques and tools. Excellent analytical and problem-solving skills. Strong coding skills in languages such as Python, C++, or Java. Ability to work in a fast-paced, dynamic environment. Strong communication and leadership skills. A competitive compensation package, including a base salary and performance-based bonuses, is offered. You will have the opportunity to work with cutting-edge technology and collaborate with top academic minds in the field of quantitative trading. Please apply now for more information.
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