Deep Learning Researcher (Fintech)

TL;DR

Deep Learning Researcher (Fintech): Developing and deploying advanced deep learning models for global financial markets with an accent on statistical analysis, predictive modeling, and quantitative research. Focus on taking projects from concept to production, improving infrastructure, and solving complex challenges in market dynamics.

Location: Must be based in or able to work in Shanghai, Singapore, or Hong Kong

Company

A global quantitative trading firm committed to world-class research and innovation in mathematics, physics, and computer science.

What you will do

• Apply deep learning to achieve state-of-the-art capabilities in complex financial domains.
• Implement open-ended research projects from initial concept through to production deployment.
• Continuously improve model design, research tools, and underlying infrastructure.
• Conduct statistical analysis to derive insights from global market data.
• Collaborate with cross-functional teams to develop profitable predictive trading models.

Requirements

• 5+ years of experience in developing deep learning systems with measurable impact.
• Proficiency in Python and/or C++.
• Strong foundation in mathematics and statistics.
• Master's degree or PhD in Computer Science, Mathematics, or a related field.
• Strong publication record at major AI/ML conferences (ICML, ICLR, NeurIPS, etc.).
• Excellent English communication skills.

Culture & Benefits

• Unique, innovation-driven culture emphasizing fearlessness and intellectual honesty.
• Environment that incentivizes collaboration and mutual respect.
• Opportunity to work on cutting-edge research with global impact.
• Access to sophisticated tools and infrastructure for high-performance modeling.