Quantitative Research – Portfolio Construction & Equity Factors

Goldman Lloyds International; New York (NY); On-site; USD 585,000 - 715,000; Full time

Job summary

Goldman Lloyds International in New York invites a Quantitative Researcher to join a leading hedge fund. The role focuses on portfolio construction, equity factor modelling and systematic risk within a research-led framework.

This opportunity emphasizes ownership of portfolio-level research, translating research into practical investment decisions and enhancing the firm’s quantitative framework.

Qualifications

• Strong understanding of equity factor models and factor investing.
• Experience with portfolio optimization, risk modelling and statistical analysis.
• Strong Python and quantitative programming skills.
• Advanced degree in a quantitative field from an elite school.
• Experience within hedge funds or systematic investment environments.

Responsibilities

• Research and develop equity factor models.
• Construct and optimize portfolios and assess risk.
• Analyze factor exposure, attribution and systematic risk.
• Study interactions between alpha signals, risk factors and constraints.
• Develop and improve quantitative models used in investment process.
• Collaborate with investment teams to translate research into decisions.
• Conduct empirical research on large financial datasets.

Skills

Equity factor models

Portfolio optimization

Risk modelling

Statistical analysis

Python

Quantitative programming

Education

Advanced degree in Mathematics/Statistics/Physics/CS/Engineering/Financial Engineering

Tools

Python programming

Job description

New York | $60bn+ Hedge Fund

Total Comp Range: $500K-$650K

No Visa Sponsorship is available.

We are conducting a confidential search for a Quantitative Researcher to join a leading ~$80bn hedge fund in New York, focused on portfolio construction, equity factor modelling and systematic risk.

This is a research-led role for someone interested in understanding how factor exposures, alpha, risk and portfolio constraints interact and translating that research into practical investment and portfolio decisions. The mandate goes beyond maintaining existing models, with scope to develop and enhance the firm's quantitative investment framework.

Key areas of focus include:

• Researching and developing equity factor models
• Portfolio construction and optimization
• Factor exposure, attribution and systematic risk analysis
• Understanding interactions between alpha signals, risk factors and portfolio constraints
• Developing and improving quantitative models used within the investment process
• Partnering closely with investment teams to translate research into portfolio decisions
• Conducting empirical research across large financial datasets

Ideal background:

• Strong understanding of equity factor models / factor investing
• Experience with portfolio optimization, risk modelling and statistical analysis
• Strong Python and quantitative programming skills
• Advanced degree in Mathematics, Statistics, Physics, Computer Science, Engineering, Financial Engineering or a related quantitative discipline from an elite school
• Experience within a hedge fund, asset manager, investment bank or systematic investment environment

This opportunity is particularly relevant for researchers looking for greater ownership of portfolio-level research and a closer connection between quantitative modelling and investment decision-making.