Quant Researcher

Newbridge; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

A leading multi-family office in Singapore is seeking a talented Quant Researcher to conduct advanced research for proprietary investment strategies and collaborate with traders. Ideal candidates will have a Master's or PhD in a quantitative field and strong skills in Python, R, or C++. Join a dynamic team where you will develop trading signals and work on innovative financial solutions.

Qualifications

• Advanced research and analysis skills in quantitative fields.
• Strong programming skills in Python, R, or C++.
• Experience in statistical modeling, machine learning, and data analysis.

Responsibilities

• Conduct advanced research and analysis for investment strategies.
• Develop and implement trading signals for global cash equities.
• Collaborate with quant traders and developers to create models.

Skills

Python

R

C++

Statistical modeling

Machine learning

Data analysis

Education

Master's or PhD in Finance, Economics, Computer Science, Mathematics

Job description

We are partnering with a leading multi‑family office in Singapore, to recruit a talented Quant Researcher to join their team. Our client is a prominent player in the wealth and fund management space, offering innovative solutions to high net worth individuals and families.

Responsibilities

• Conduct advanced research and analysis to inform proprietary investment and trading strategies
• Develop and implement trading signals for global cash equities
• Identify and collect market data required for alpha generation
• Analyze financial markets, industry‑specific, and macroeconomic data to forecast business, industry, and economic conditions and trends
• Collaborate with quant traders and quant developers to develop models and algorithms

Requirements

• Master's or PhD in Finance, Economics, Computer Science, Mathematics, or related quantitative field
• Strong programming skills in Python, R, or C++
• Experience with statistical modeling, machine learning, and data analysis
• Knowledge of financial markets, instruments, and risk management