Hybrid: Junior Quantitative Fixed-Income Associate

Dodgeandcox; San Francisco, Northern (CA, KY); Hybrid; USD 155,000 - 180,000; Full time

Benefits offered by this job

Hybrid work model

Healthcare and retirement benefits

Commuter benefits

Professional development

Job summary

Dodge & Cox is seeking a junior Investment Associate for its QUADS team in San Francisco. You will work with senior team members on quantitative research, building risk models, simulations, and asset allocation tools in a hybrid, office-centric environment.

The role offers exposure to industry professionals and a clear path over 2–4 years toward advanced analytics in finance. The ideal candidate has strong academics, programming skills (Python, R, MATLAB, SQL), and familiarity with AI tools and

Qualifications

• Strong undergrad record with courses in economics, probability, statistics, multivariable calculus and linear algebra.
• Significant programming experience (Python, R, MATLAB, SQL).
• Experience with AI tools (Claude Code, Codex) and BI software (Tableau); version control (git) and cloud platforms.

Responsibilities

• Answer data-driven research questions posed by our investment committees.
• Run analytics to support investment decision-making and risk management (risk models, portfolio simulations).
• Build and improve asset allocation models.
• Develop and maintain code to power dashboards and visualizations.
• Assist with custom analysis on large datasets or detailed quantitative work.
• Assist with managing a Python- and Azure-powered ecosystem for quantitative work.

Skills

Python

R

MATLAB

SQL

AI/ML concepts

Tableau

Git

Cloud computing

Education

Undergraduate degree

Postgraduate study 1–3 years

Tools

Snowflake

Azure

AWS

Job description

Dodge & Cox is seeking a junior Investment Associate for its QUADS team in San Francisco. You will work with senior team members on quantitative research, building risk models, simulations, and asset allocation tools in a hybrid, office-centric environment.

The role offers exposure to industry professionals and a clear path over 2–4 years toward advanced analytics in finance. The ideal candidate has strong academics, programming skills (Python, R, MATLAB, SQL), and familiarity with AI tools and