Senior Python / Machine Learning Engineer – Financial trading platform
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.