Investment Risk Analyst

Investment Risk Analyst

Pioneer Investments is a diversified asset management firm and a key franchise of Victory Capital Management (VCTR). Founded in 1928, Pioneer currently manages over $125 billion in assets across a wide range of strategies. We are seeking a Credit Research Analyst to join our Corporate Credit Research team.

About Victory Capital

Victory Capital is a diversified global asset management firm and employs a next-generation business strategy that combines boutique investment qualities with the benefits of a fully integrated, centralized operating and distribution platform.

Victory Capital provides specialized investment strategies to institutions, intermediaries, retirement platforms and individual investors.

With 12 autonomous Investment Franchises and a Solutions Business, Victory Capital offers a wide array of investment products and services, including mutual funds, ETFs, separately managed accounts, alternative investments, third-party ETF model strategies, collective investment trusts, private funds, a 529 Education Savings Plan and brokerage services.

Victory Capital is headquartered in San Antonio, Texas, with offices and investment professionals in the U.S. and around the world. To learn more please visit www.vcm.com or follow Victory Capital on Facebook, Twitter, and LinkedIn.

General Summary and Purpose

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.

You Will

Risk Modeling

• 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

Portfolio Manager Support

• 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

Data Engineering & Automation

• 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

AI & Innovation

• 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

You Have

• Education & Experience
• 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
• Technical & Programming
• 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)
• 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)
• Soft Skills
• 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 HAVE
• Snowflake experience
• GenAI integration experience
• Experience with cloud platforms (AWS, Azure)
• R programming for statistical analysis
• Familiarity with API integrations (Bloomberg, BarraOne, FactSet)

Our 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.

Target Compensation

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.

Victory Capital Management operates a pay-for-performance compensation philosophy and total compensation may vary based on role, location, department and individual performance.

Victory Capital Management’s total compensation package includes the opportunity for annual compensation bonuses and/or commissions and a generous benefits package.

We are committed to equal employment opportunity without regard to actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, pregnancy-related conditions, and lactation), gender identity or expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, genetic information, height, weight, hair texture or a hairstyle historically associated with race to include braids, locks, or twists; or any other characteristic protected by applicable federal, state, or local laws and ordinances.

Equal Opportunity Employer

This employer is required to notify all applicants of their rights pursuant to federal employment laws.

For further information, please review the Know Your Rights notice from the Department of Labor.