Senior Quant Researcher, Fixed Income & FX Execution

GIC Private Limited; Singapore; On-site; SGD 180,000 - 260,000; Full time

Benefits offered by this job

Flexible working arrangements

Professional growth opportunities

Inclusive work environment

Job summary

A global investment firm in Singapore is seeking an AVP, Quantitative Researcher for the Portfolio Execution Group. This role emphasizes actionable analytics in fixed-income markets, requiring strong quantitative skills and collaboration with traders and investment teams. Candidates should have 6-10 years of relevant experience, a solid understanding of the fixed-income data landscape, and proficiency in coding languages such as Python and R. Join a dynamic team committed to innovation and excellence in financial research.

Qualifications

• 6-10 years of experience in a quantitative role.
• Interest in global fixed-income market microstructure.
• Understanding of the fixed-income data landscape.
• Experience with fixed-income Transaction Cost Analysis (TCA).
• Proven track record of producing models and analysis.
• Experience in planning and executing research projects.
• Exceptional attention to detail.

Responsibilities

• Deliver actionable analysis on execution outcomes.
• Influence market impact through innovative solutions.
• Own research projects from ideation to production.
• Understand investment styles and collaborate across teams.

Skills

Quantitative analysis

Fixed-income market microstructure

Data transformation into insights

Machine learning methods

Strong coding skills in Python

Attention to detail

Education

PhD in relevant fields

Tools

Python

R

SQL

kdb/Q

Databricks

Job description

A global investment firm in Singapore is seeking an AVP, Quantitative Researcher for the Portfolio Execution Group. This role emphasizes actionable analytics in fixed-income markets, requiring strong quantitative skills and collaboration with traders and investment teams. Candidates should have 6-10 years of relevant experience, a solid understanding of the fixed-income data landscape, and proficiency in coding languages such as Python and R. Join a dynamic team committed to innovation and excellence in financial research.