Quantitative Analyst (On-site)

Job summary

The role involves leveraging quantitative research, machine learning, and software engineering to identify market inefficiencies and develop automated trading strategies. You will work on creating machine learning-driven trading strategies that operate continuously and enhance trading performance.

Qualifications

• MSc or PhD in data science, computer science, mathematics, physics, or a related field
• Advanced Python development skills with experience in production-quality code
• Extensive experience with machine learning techniques and frameworks (e.g., PyTorch, Scikit-learn)

Responsibilities

• Design, develop, and deploy machine learning-driven trading strategies using Python
• Transform large-scale datasets into actionable trading signals and predictive models
• Continuously enhance existing models and research processes
• Collaborate with traders and analysts to implement scalable quantitative solutions
• Stay updated on advancements in machine learning and quantitative finance

Skills

• Strong analytical and problem-solving abilities
• Proficiency in machine learning and deep learning methodologies
• Ability to translate complex quantitative challenges into practical solutions

Education

• Advanced degree (MSc or PhD) in a relevant field

Tools

• Python, machine learning frameworks (e.g., PyTorch, Scikit-learn)