Investment Analyst/Associate - Asset Allocation and Risk Management

Uvimco•Charlottesville, VA

2d•Onsite

About The Position

The Investment Analyst/Associate will work directly with senior management in UVIMCO’s small, flat investment organization. The role serves as the internal expert on the risk and asset allocation database and analytical systems, drives further development of those systems, increasingly through AI, and leads consulting projects involving quantitative research, custom programming, or AI tooling. Within the Asset Allocation and Risk Management team, the position supports risk measurement for the total portfolio and sub-strategies; synthesizes risk outputs for the Chief Investment Officer and Risk Committee; recommends portfolio management actions; supports management of the derivatives overlay; provides quantitative research and analysis to internal groups and outside stakeholders; and strengthens investment processes through AI applications. The position is based in-office in Charlottesville, Virginia. The starting base salary range is $120,000–$135,000 for the Analyst position and $160,000–$175,000 for the Associate position. Compensation depends on relevant experience, education, skills, qualifications, and other job-related considerations.

Requirements

Strong technical background and experience using R, SQL, Python, and AI models to complete full-stack model development projects.
Demonstrated success in independent programming projects.
Undergraduate degree from a top institution in a quantitative discipline such as Statistics, Economics, Physics, Engineering, Finance, Computer Science, Data Science, Applied Mathematics, Machine Learning, or Operations Research.
CFA Charter or demonstrated interest in pursuing the CFA Program.
Excellent written and verbal communication skills.
Ability to work effectively independently and in a collaborative team environment.
Two to four years of experience in quantitative finance, preferably involving portfolio management for endowments or other institutional investors; candidates with zero to two years of quantitative finance experience will be considered for an analyst-level role.
Familiarity with AI and model risk considerations, including explainability, reproducibility, benchmarking, and evaluation questions related to deploying AI in an investment setting.
Motivated self-starter with strong organizational skills, a strong work ethic, attention to detail, professionalism, and integrity.
Willingness to work in-office in Charlottesville, Virginia.

Nice To Haves

Post-graduate degree in a quantitative field such as Statistics, Economics, Physics, Engineering, Finance, Computer Science, Data Science, Applied Mathematics, Machine Learning, or Operations Research.
Experience applying AI tooling to real analytical problems.
Experience building HTML/web reports using tools such as Shiny or Dash, or desire to learn.
Experience in quantitative finance involving portfolio management for endowments or other institutional investors.

Responsibilities

Collaborate with the team to help generate attractive long-term real returns for the Long Term Pool while remaining within the University’s risk tolerance.
Participate as a member of the Risk and Investment Committees.
Design, build, and validate AI applications that enhance the investment process, including LLM-based pipelines for extracting structured data from unstructured sources and AI-assisted tools that automate recurring research and reporting workflows.
Lead development of UVIMCO’s data management and risk management systems, improving or developing risk measurement methodologies and asset allocation models and incorporating statistical learning and machine learning where they add measurable value.
Lead data management efforts for risk and asset allocation data, including maintaining and improving the security master database.
Work with UVIMCO’s IT team to implement new models, AI services, and database components in production using best practices.
Work with internal asset class teams to tailor risk models for each asset class.
Assist in managing UVIMCO’s derivatives overlay.
Provide quantitative support to the CIO, Risk Committee, and other staff for research projects.
Use, maintain, and further develop the proprietary risk system, integrating machine learning and other AI techniques when they improve on traditional approaches.
Synthesize risk measurement outputs for the CIO and Risk Committee, recommend portfolio management actions, and provide quantitative consulting to internal groups and outside stakeholders.