Quantitative Researcher / Engineer

Job Overview:

We are looking for an experienced Quantitative Researcher / Engineer to join our dynamic team. As a Quantitative Researcher / Engineer, you will play a critical role in developing and deploying Large Language Models (LLMs) to drive data-driven decision-making and automated trading strategies. You will collaborate closely with trading, data science, and operations teams to integrate cutting-edge AI technology into financial market applications. If you are passionate about advancing AI in trading systems and working in a fast-paced, high-impact environment, we want to hear from you!

Key Responsibilities:

•  Design & Development:
  • Design, develop, and deploy high-performance data analysis and risk assessment models to support real-time trading decisions.
• Collaboration
  • Work closely with trading and data analysis teams to integrate quantitative solutions into trading strategies, risk management, and market forecasting.
• Performance Monitoring
  • Monitor and optimize model performance to ensure stability and security under high-load conditions.
• Market & Trend Analysis
  • Stay updated on advancements in data analytics and market trends, proposing innovative application strategies for financial markets.

Required Skills:

• Educational Background

  • Degree in Computer Science, Information Engineering, or a related field (Bachelor’s required; Master’s/Ph.D. preferred).

• LLM Experience

  • Proven experience in developing, training, fine-tuning, and deploying Large Language Models.

• Programming & Tools

  • Proficiency in Python or Python/C++/C#.

• Algorithms & Data Structures

  • Strong foundation in algorithms and data structures for high-performance computing.

• Trading System Experience

  • Hands-on experience in developing trading systems, data analysis, and risk management within financial markets.

Optional Skills:

• Quantitative Trading Background

  • Experience in quantitative trading strategy research and implementation is a plus.

• Cloud Platform Experience

  • Familiarity with AWS, GCP, or Azure for deployment and management.

• Data Analysis Skills

  • Ability to leverage statistical and data mining techniques for market data analysis and model optimization.