Investment Analyst/Associate - Asset Allocation and Risk Management

UVIMCO•Charlottesville, VA

2d•$120,000 - $175,000•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 an internal expert on the organization’s 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. The Asset Allocation and Risk Management team measures and manages risk, provides quantitative consulting, and enables AI use in the investment process. Its work includes estimating portfolio and sub-strategy risk, synthesizing results for the Chief Investment Officer and Risk Committee, recommending portfolio actions, helping manage the derivatives overlay, and building applications that organize information from manager documents and filings for portfolio management use. The role collaborates with internal asset-class teams and IT to develop and productionize risk models, asset allocation models, AI services, and database components. It also supports research projects for the CIO, Risk Committee, and other staff. The position is based in-office in Charlottesville, Virginia. The stated 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

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.
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.
Two to four years of experience in quantitative finance; candidates with zero to two years of quantitative finance experience may 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, and a high level of professionalism and integrity.
Excellent written and verbal communication skills.
Ability to work effectively both independently and collaboratively in a team environment.
CFA Charter or demonstrated interest in pursuing the CFA Program.

Nice To Haves

Post-graduate degree in a quantitative discipline 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.
Quantitative finance experience involving portfolio management of endowments or other institutional investors.
Experience building HTML/web reports, for example using Shiny or Dash, or desire to learn.

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 that extract 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, including improving or developing methodologies for risk measurement 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 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 management of UVIMCO’s derivatives overlay.
Provide quantitative support for research projects to the CIO, Risk Committee, and other staff.
Use, maintain, and further develop the proprietary risk system, including integrating machine learning and other AI techniques where they improve on traditional approaches.
Synthesize risk measurement outputs for the CIO and Risk Committee, recommend portfolio management actions, and assist with management of the overlay portfolio.
Provide quantitative research and analysis to internal UVIMCO groups and outside stakeholders.