Principal Applied Scientist

Role:

We are seeking a highly skilled Principal Applied Scientist to join a leading quantitative investment team. The successful candidate will play a pivotal role in developing and applying advanced machine learning and statistical models to drive alpha generation, including the application of cutting-edge LLMs and Generative AI concepts.

Responsibilities:

• Research and Development: Conduct groundbreaking research in machine learning, statistical modeling, and other quantitative techniques to identify new investment opportunities.
• Model Development: Develop and implement sophisticated models for portfolio construction, risk management, and market forecasting.
• Data Analysis: Analyze large datasets to extract meaningful insights and inform investment decisions.
• Collaboration: Work closely with investment professionals, portfolio managers, and other team members to translate research findings into actionable strategies.
• Innovation: Stay abreast of the latest advancements in quantitative finance and technology, driving innovation within the firm.

Qualifications:

• PhD in a quantitative field such as statistics, mathematics, computer science, or a related discipline.
• Strong programming skills in Python, R, or other relevant languages.
• Deep understanding of LLMs, machine learning algorithms, statistical modeling, and time series analysis.
• Proven track record of research and publication in top-tier journals or conferences.
• Excellent problem-solving and analytical skills.
• Ability to work independently and as part of a team.
  

McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.