About:

Our client is a leading financial firm dedicated to innovation and excellence in quantitative trading. The team of experts leverages cutting-edge technology and advanced algorithms to drive success in global markets.

Role Overview:

As a Machine Learning Quantitative Researcher, you will play a crucial role in developing and implementing machine learning models to enhance trading strategies. You will work closely with a team of researchers, developers, and traders to analyze market data, identify patterns, and generate alpha using machine learning techniques.

Key Responsibilities:

• Researching, developing, and implementing machine learning models for trading strategies.
• Analyzing market data and identifying patterns to generate actionable insights.
• Collaborating with cross-functional teams to integrate machine learning solutions into our trading infrastructure.
• Conducting backtesting and performance analysis to evaluate the effectiveness of models.
• Staying abreast of the latest developments in machine learning and quantitative finance to drive innovation and improvement.

Requirements:

• Master’s or Ph.D. in Computer Science, Mathematics, Statistics, or related field.
• Strong background in machine learning, with experience in developing and deploying models in real-world applications.
• Proficiency in programming languages such as Python, R, or C++.
• Solid understanding of quantitative finance concepts, including risk management, portfolio optimization, and statistical arbitrage.
• Excellent analytical and problem-solving skills, with a keen attention to detail.
• Ability to thrive in a fast-paced, collaborative environment and effectively communicate complex ideas to stakeholders.

Why Join:

• Exciting opportunity to work at the intersection of machine learning and quantitative finance.
• Collaborative and innovative work environment with opportunities for growth and development.
• Competitive compensation package with benefits and bonuses.