Portfolio Strategy Investment Associate - QUADS

About the role

Dodge & Cox is looking to hire a junior team member for its Quantitative Analysis and Data Science (QUADS) team. This is an investment-side role in which the investment associate will work directly with senior members of our team to assist with quantitative research in our Fixed Income department. This position would be a good fit for those pursuing a longer-term career in financial data science and/or fixed income investing. The work will be leveraged across the Fixed Income department and will provide the Investment Associate with exposure to investment professionals and senior management across the firm. This is a two-to-four-year position after which most individuals pursue higher education or careers in investment management.

Responsibilities

• Answering data-driven research questions posed by our investment committees
• Running analytics to support investment decision-making and risk management (risk models, portfolio simulations)
• Building and improving asset allocation models
• Developing and maintaining code to power dashboards and visualizations
• Assisting with custom analysis when large datasets or detailed quantitative work is required
• Assisting with managing a growing Python- and Azure-powered ecosystem for quantitative work
• Helping the firm explore applications for machine learning (ML) and artificial intelligence (AI)

Skills

• High levels of academic and professional achievement, in addition to leadership ability and interpersonal skills
• Demonstrated interest in economics and financial markets
• A conscientious approach toward data analysis to ensure that results are always produced to the highest standards
• Comfortable working with ambiguity and evolving requirements
• Detail-oriented and precise
• Collaborative and coachable
• Curious about emerging tools and methods

Qualifications

• Strong undergraduate preparation, or at least 1-3 years of postgraduate experience (in industry or further education)
• An excellent academic record with courses in economics, probability, statistics, multivariable calculus, and linear algebra
• Significant programming experience (e.g., Python, R, MATLAB, SQL)
• Experience with AI tools (Claude Code, Codex), business intelligence software such as Tableau, version control (git), and cloud computing (Snowflake, Azure, AWS, etc.) are a plus
• Advanced knowledge of MS Excel; familiarity with Bloomberg preferred