Junior Quant Researcher, Systematic Macro

MS Capital Singapore; New York (NY); On-site; USD 28,000 - 48,000; Part time

Benefits offered by this job

Mentorship

Hands-on ML exposure

Job summary

MS Capital Singapore is seeking a junior researcher/intern to join the New York branch, with opportunities to work on systematic macro strategies across asset classes and to build/pr validate pricing models for bonds and FX. You will process macroeconomic datasets and collaborate with senior researchers to uncover alphas.

The role offers exposure to AI/ML-driven trading research within a private fund, and the team includes experienced researchers and engineers from top institutions.

Qualifications

• Degree or higher in a quantitative field such as Financial Engineering, Applied Mathematics, Statistics or CS.
• Strong fundamentals in probability, statistics and time-series analysis.
• Proficiency in Python for data analysis and research workflows.
• Understanding of bond and FX pricing models is essential.
• Experience with macro data sources or prior internship/project in quantitative finance.
• Familiarity with macro research and data processing.

Responsibilities

• Conduct research on systematic macro strategies across asset classes.
• Build and validate pricing models for bonds, FX, and derivatives.
• Process and analyze macroeconomic datasets including U.S. indicators.
• Collaborate with senior researchers to identify alphas.

Skills

Python for data analysis

Time-series analysis

Statistics

Macroeconomic data

Education

Financial Engineering

Applied Mathematics

Statistics

Computer Science

Job description

MS Capital Singapore is seeking a junior researcher/intern to join the New York branch, with opportunities to work on systematic macro strategies across asset classes and to build/pr validate pricing models for bonds and FX. You will process macroeconomic datasets and collaborate with senior researchers to uncover alphas.

The role offers exposure to AI/ML-driven trading research within a private fund, and the team includes experienced researchers and engineers from top institutions.