Quant Researcher

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

Job summary

A leading multi-family office in Singapore seeks a talented Quant Researcher to conduct advanced research and develop trading strategies. The ideal candidate will possess a Master's or PhD in a quantitative field and strong programming skills in Python, R, or C++. This role offers a dynamic work environment focused on innovative solutions for high net worth clients.

Qualifications

• Master's or PhD in a quantitative field is required.
• Strong programming skills in Python, R, or C++ are necessary.
• Experience with statistical modeling and machine learning is required.

Responsibilities

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

Skills

Strong programming skills in Python

Strong programming skills in R

Strong programming skills in C++

Statistical modeling

Machine learning

Data analysis

Education

Master's or PhD in Finance

Master's or PhD in Economics

Master's or PhD in Computer Science

Master's or PhD in 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