ML Research Engineer

Job Overview

Blue Coast is seeking a talented ML Research Engineer to join their team in Zurich, Switzerland. This role involves contributing to cutting-edge machine learning applications within quantitative trading, focusing on systematic strategies and capital deployment.

Company Overview

Blue Coast partners with elite quantitative trading firms through institutional capital raising and talent acquisition. The company also deploys proprietary capital into select systematic strategies. With a global footprint spanning London, Chicago, San Francisco, Sydney, and Panama, Blue Coast connects the world’s premier quantitative trading firms with institutional capital and exceptional talent in the Financial Services industry.

Quick Details

• Salary Range: Market Competitive
• Job Type: Full-time
• Qualifications: None / Open to all applicants
• Experience: 5 Year+

Key Responsibilities

• Conduct research and development in machine learning techniques for quantitative trading strategies.
• Design, implement, and test robust machine learning models for systematic trading.
• Analyze large-scale financial datasets to identify predictive patterns and market inefficiencies.
• Collaborate closely with quantitative analysts and traders to integrate ML solutions.
• Stay abreast of the latest advancements in machine learning, AI, and financial technology.
• Optimize and fine-tune existing ML models for enhanced performance and efficiency.

Requirements

• Strong foundational knowledge in machine learning, statistics, and data science principles.
• Proficiency in programming languages such, as Python, with experience in ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Demonstrated experience with large-scale data analysis and quantitative modeling.
• Excellent problem-solving, analytical, and critical thinking skills.
• Ability to thrive in a fast-paced, high-pressure trading and research environment.
• Relevant academic background in Computer Science, Mathematics, Quantitative Finance, or a related field.

Benefits

• Opportunity to work on pioneering machine learning applications in the financial markets.
• Engage in a collaborative and intellectually stimulating research environment.
• Receive a competitive compensation package, including performance-based bonuses.
• Access to advanced research tools, computational resources, and cutting-edge technology.
• Significant professional growth and career development opportunities within a leading quantitative firm.
• Exposure to a global network of elite trading firms and industry experts.