AI ML Quantitative Researcher

Job Summary

To enhance alpha discovery and portfolio decision-making capabilities, the full-time AI ML Quantitative Researcher will apply advanced machine learning techniques to existing quantitative strategies and live trading systems in a fully remote environment.

Key Responsibilities

• Develop machine learning models to evaluate and select financial signals for trade execution based on market conditions
• Design frameworks to dynamically combine and weight signals, improving portfolio performance and robustness
• Build automated monitoring systems for live strategies to assess performance and support real-time risk management

Required Qualifications

• Master's or Ph.D. in quantitative finance, financial engineering, computer science, or a related field
• At least 5 years of experience applying machine learning techniques and trading algorithms to financial markets
• Proficiency in Python and familiarity with machine learning frameworks such as TensorFlow or PyTorch
• In-depth understanding of financial markets, trading strategies, and risk management principles
• Strong analytical skills with a proven track record in developing trading algorithms with measurable portfolio impact