Head of Machine Learning – Algorithmic Trading

Are you passionate about leveraging machine learning to optimize trading strategies and enhance decision-making processes within the financial industry? A reputable organization is seeking an experienced Machine Learning Expert in Financial Trading to bolster their team. The ideal candidate will possess a comprehensive understanding of financial markets, a proven track record in developing and implementing machine learning models to elevate trading performance, and proficiency in designing trading bots.

Overview:

An opportunity has arisen for an experienced Machine Learning Expert in Financial Trading to join a dynamic team. The ideal candidate will have a deep understanding of financial markets, demonstrated experience in developing trading bots using machine learning techniques, and a keen interest in advancing trading strategies through innovative technologies.

Key Responsibilities:

- Design, develop, and deploy advanced machine learning models to analyse, predict, and optimize financial trades.

- Collaborate closely with the trading team to integrate machine learning insights into trading strategies effectively, including the development of trading bots.

- Conduct in-depth analysis of historical trading data to identify market opportunities and risks.

- Continuously refine and optimize existing models to ensure robust performance amidst evolving market conditions.

- Keep abreast of the latest trends in machine learning and financial technology, integrating innovative technologies into trading systems, including trading bots.

Requirements:

- Master's or Ph.D. degree in Computer Science, Financial Engineering, Statistics, or a related field.

- Minimum of 5 years of practical experience applying machine learning models in the financial trading domain, with a focus on designing and implementing trading bots.

- Proficiency in Python and common machine learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch).

- Deep understanding of financial markets, trading algorithms, and quantitative strategies.

- Strong data analysis and statistical skills.

- Ability to thrive independently in high-pressure environments while fostering excellent teamwork.

- Exceptional communication and presentation skills, capable of conveying complex technical concepts to diverse audiences.

- Preference given to candidates with published research papers or presentations at industry conferences.