Investment Risk Analyst

About the role

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.

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
• Aid 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

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)

Qualifications

• 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

Skills

• Python (pandas, numpy)
• SQL
• Snowflake
• Data visualization tools (Tableau, Power BI, or Python-based libraries)
• Investment & Risk Knowledge
• 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)

Benefits

Victory Capital Management offers excellent Medical, Dental, Vision plans, Flexible PTO, Family Medical and Disability Leaves, Education Tuition Reimbursement and a 401k plan with a generous employer match.

Pay

The target base salary range for this position is $75,000 to $90,000. Salaries are determined based on internal equity, internal salary ranges, market data/ranges, applicant’s skills and prior relevant experience, certain degrees, and certifications.

Schedule

Not specified