We are working with a leading systematic fund operating across the US and UK, seeking to expand our team with an accomplished Quantitative Researcher specializing in machine learning: deep learning or natural language processing (NLP).

As a technology-driven firm committed to in-house development, they are in the midst of a significant growth phase, with a strategic focus on enhancing the machine learning capabilities within the research division. We invite applications from experienced team leaders as well as mid-level researchers, provided they possess the requisite background and skills.

Requirements:

• Advanced degree in computer science, engineering, mathematics, or related fields.
• Extensive experience in developing diverse deep learning models, with a focus on practical applications in finance.
• Profound understanding of machine learning algorithms, frameworks, and methodologies.
• Strong proficiency in programming languages such as Python, R, or Java.
• Excellent computational skills and the ability to optimize algorithms for performance.
• Proven track record of conducting independent research and delivering innovative solutions.
• Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams.

Key Responsibilities:

• Research and develop advanced machine learning models to address complex problems in quantitative finance.
• Collaborate with cross-functional teams to integrate machine learning solutions into our trading systems and research workflows.
• Conduct rigorous testing and validation of models, ensuring accuracy, robustness, and scalability.
• Stay abreast of the latest developments in machine learning research and apply cutting-edge techniques to our projects.
• Provide technical guidance and mentorship to junior team members, fostering a culture of learning and innovation.