Credit Quantitative Analyst

Qualifications & Skills:

• Advanced degree (MS/PhD preferred) in a quantitative field such as Mathematics, Statistics, Computer Science, Engineering, or Finance.
• 2+ years of experience in a quantitative or research role (preferably in fixed income/credit/munis).
• Strong programming skills in Python or similar languages (R, Matlab, C++).
• Deep understanding of credit products and municipal bonds; familiarity with market data sources (TRACE, EMMA, Bloomberg, etc.).
• Experience with statistical/ML modeling, backtesting frameworks, and data visualization tools.
• Self-motivated, detail-oriented, and able to communicate complex ideas clearly to technical and non-technical audiences.

Preferred:

• Experience working with traders or in a trading environment.
• Familiarity with risk management, portfolio construction, or execution algorithms in fixed income.
• Knowledge of current regulatory landscape affecting muni and credit trading.

*This role provides high visibility with portfolio managers and offers significant learning and growth opportunities within a leading credit trading platform. If you are passionate about quantitative finance and fixed-income markets, we’d love to hear from you.