Quantitative Equity Analyst

Oliver James; Boston (MA); Hybrid; USD 120,000 - 190,000; Full time

Job summary

Oliver James is seeking a Quantitative Equity Analyst in Boston, MA (Hybrid) to join its Quantitative Equity Research team. The role focuses on researching stock signals, building alpha models, and refining portfolio construction methods across multiple asset pools.

You will collaborate with fundamental analysts and portfolio managers, enhance analytics infrastructure, and present findings to stakeholders. A CFA is a plus but not required; visa sponsorship is noted as a consideration.

Qualifications

• Bachelor's degree in Mathematics, Statistics, Finance, Economics, or related field.
• Strong grounding in statistical modeling, econometrics, and machine learning.
• Proficiency in Python, R, or similar.
• Sharp analytical and quantitative problem solving skills.
• Ability to explain technical work clearly to non-technical stakeholders.
• Genuine curiosity about markets and a desire to understand why a signal works.

Responsibilities

• Contribute to research through idea generation, data preparation, statistical analysis, and actionable recommendations.
• Evaluate new techniques for extracting tradable signals from large datasets.
• Research and develop model construction methodologies.
• Improve research infrastructure, production systems, and analytics tools.
• Present findings to internal stakeholders and contribute to thought leadership.
• Monitor factor and model performance and communicate insights regularly.
• Support due diligence on model output and respond to queries from investment teams.

Skills

Python

R

Statistical modeling

Econometrics

Machine learning

Communication

Education

Bachelor's degree in Mathematics, Statistics, Finance, Economics, or related field

Tools

Jupyter

Git

Job description

Quantitative Equity Analyst
Boston, MA (Hybrid) | Full-Time

A leading global asset management firm is looking for a Quantitative Equity Analyst to join its Quantitative Equity Research team. The team develops and maintains a suite of stock selection models supporting both systematic and fundamental equity strategies across multiple billion dollar asset pools, including managed money, active ETF, and fundamental long only mandates.

You'll research stock selection signals, build and refine alpha models, and contribute to portfolio construction methodology. The role also involves enhancing research and analytics infrastructure and collaborating closely with fundamental analysts and portfolio managers across the firm.

What you'll do

• Contribute to research through idea generation, data preparation, statistical analysis, and actionable recommendations
• Evaluate new techniques for extracting tradable signals from large datasets
• Research and develop model construction methodologies
• Improve research infrastructure, production systems, and analytics tools
• Present findings to internal stakeholders and contribute to thought leadership
• Monitor factor and model performance and communicate insights regularly
• Support due diligence on model output and respond to queries from investment teams

What you'll bring

• Bachelor's degree in Mathematics, Statistics, Finance, Economics, or related field
• Strong grounding in statistical modeling, econometrics, and machine learning, with the ability to apply these to real investment problems
• Proficiency in Python, R, or similar
• Sharp analytical and quantitative problem solving skills
• Ability to explain technical work clearly to non-technical stakeholders
• Genuine curiosity about markets and a desire to understand why a signal works, not just that it backtests
• Comfortable working as part of a small, high ownership team supporting a much larger investment platform

CFA charter or progress toward one is a plus but not required

This role sits within a lean central research team supporting 40+ investment professionals globally, so there's real scope for ownership and exposure across strategies. The team is looking for someone who wants to understand the investment philosophy behind the work and grow toward either research leadership or a portfolio management path over time.

Compensation is competitive and will flex based on experience and the level of impact a candidate can bring.

Note on visa sponsorship: candidates must already hold work authorization that does not require sponsorship now or in the future.