Investment Risk Analyst

Victory Capital•Boston, MA

1d•$75,000 - $90,000

About The Position

The ideal candidate will maintain and enhance front office investment risk models, collaborate directly with Portfolio Managers, and serve as a key analytical resource across multiple internal teams including RFP, Institutional, and Performance. A strong emphasis is placed on automation, data engineering, and building scalable reporting solutions that feed into Victory's internal AI infrastructure.

Requirements

Bachelor's degree required in a quantitative field: Data Science, Computer Science, Statistics, Mathematics, Finance, or Engineering
3-5 years of relevant professional experience in investment management, risk analytics, or quantitative research
Proficiency in Python (pandas, numpy) for data analysis and automation
Strong SQL skills with hands-on experience in Snowflake or similar cloud data warehouses
Exposure to data visualization tools (Tableau, Power BI, or Python-based libraries)
Foundational understanding of investment concepts: equities, fixed income, derivatives, and portfolio construction
Familiarity with risk metrics: tracking error, VaR, beta, factor exposures, drawdown, and Sharpe ratio
Experience with or exposure to risk systems (e.g., Bloomberg PORT, FactSet, MSCI RiskMetrics)
Strong written and verbal communication skills -- ability to translate quantitative outputs for non-technical stakeholders
Intellectual curiosity with a bias toward building and automating
Self-starter mentality with the ability to manage ad hoc requests alongside longer-term projects

Nice To Haves

Snowflake experience
GenAI integration experience
Experience with cloud platforms (AWS, Azure)
R programming for statistical analysis
Familiarity with API integrations (Bloomberg, BarraOne, FactSet)

Responsibilities

Maintain, validate, and enhance front office investment risk models used by Portfolio Managers
Monitor portfolio risk exposures including factor risk, tracking error, VaR, and drawdown metrics
Perform scenario analysis and stress testing across strategies and asset classes
Partner with Portfolio Managers on ad hoc quantitative research and special projects
Provide risk attribution analysis and portfolio diagnostics on demand
Assist in pre- and post-trade risk analysis for investment decisions
Translate complex risk outputs into clear, actionable insights for investment teams
Develop and maintain automated reporting pipelines using Python, SQL, and Snowflake
Build and optimize Snowflake data models and queries to feed Victory's internal AI tools
Automate repetitive analytical workflows, reducing manual effort across the investment risk function
Maintain clean, well-documented codebases and contribute to shared internal libraries
Contribute to the development of AI-assisted risk analytics and reporting tools
Explore and prototype machine learning applications for risk factor modeling and anomaly detection
Stay current on emerging AI/ML techniques relevant to investment risk management