Quantitative Researcher Intern (Machine Learning)

Job Description

AlphaGrep is seeking a Quantitative Researcher Intern to join their team in Shanghai. This role is ideal for a student passionate about applying machine learning and deep learning techniques to quantitative trading strategies within the stock market. The intern will explore cutting-edge model algorithms, focusing on information extraction and model building across various quantitative scenarios.Responsibilities include:

• Applying machine learning and deep learning to quantitative trading strategies in the stock market.
• Exploring cutting-edge model algorithms to extract information and build models in various quantitative scenarios.

Requirements:

• Master's degree or above in computer science or related fields from a prestigious university, graduating before July 2026.
• Excellent programming skills, proficiency in Pytorch/Tensorflow, and ability to quickly develop and implement various cutting-edge deep learning models.
• Strong innovation ability and solid C++ programming foundation for model improvement and optimization.
• Priority given to candidates with awards in competitions such as ACM/ICPC, NOIP/NOI, and outstanding performance in machine learning competitions like Kaggle.
• Preference for candidates with publications in international conferences or journals in machine learning, data mining, and recommendation systems.
• Passion for the quantitative industry and a clear career development direction.
• Self-motivated candidates are preferred.

What AlphaGrep offers:

• A culture of trust, open communication, and proactive ownership.
• A team of engineers, mathematicians, and statisticians.
• A transparent organizational structure that values every member's ideas and contributions.
• A relaxed, flat, and fun work environment with team-building activities.
• Health and wellness programs, including gym membership, stocked kitchen, and generous vacation time.