Quant Intern

MS Capital Singapore; Singapore; On-site; SGD 11,000 - 17,000; Full time

Job summary

MS Capital Singapore invites driven students to join as interns across quant research, quant development, data engineering, or AI engineering. Candidates should show strong academic records and programming proficiency in C++/Python.

Internship offers exposure to strategy modelling, trading system and platform development with potential for formal employment after the internship based on performance.

Qualifications

• Pursuing Bachelor, Master or PhD with excellent academic records.
• Proficient in C++/Python or other programming languages with solid skills.
• Experience to conduct independent research for handling large data sets.
• Experience / Award in internationally recognized competitions such as IMO, IOI, IPhO, Kaggle, etc will be preferred.

Skills

C++/Python

Data handling

Competitive programming awards

Education

Bachelor/Master/PhD in Math/Physics/CS/Engineering

Tools

Kaggle

Job description

MS Capital is a private fund management company with a strong founding team with long-accumulated experience in strategy modelling, trading system and platform development. Using advanced artificial intelligence technology as the cornerstone, and enforcing strict investment management, the company's investment fund has gained sustained and stable returns.

We are seeking exceptional individuals to join the firm for the internship. Formal employment after internship is possible, subject to candidate's performance.

Based on your background, technical skills and interest, you will have the opportunity to contribute for different roles as quant researcher, quant developer, data engineer, or AI engineer, to learn various skills and industry knowledge.

Qualifications:

• Students who are holding or pursuing a Bachelor, Master or Ph.D. degrees in Math, Physics, Computer Science, Engineering, or related fields with excellent academic records.
• Proficient in C++ / Python or other programming languages with solid programming skills.
• Experience to conduct independent research for handling large data sets.
• Experience / Award in internationally recognized competitions such as IMO, IOI, IPhO, Kaggle, etc will be preferred.
• Prior experience in the financial industry is not required.