Credit Quantitative Analyst
Balyasny Asset Management L.P.
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New York, NY
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Associate
Posted April 2, 2026
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Responsibilities
Responsibilities
- Analyze large datasets related to credit and municipal bonds to identify inefficiencies, opportunities, and risks.
- Develop, backtest, and implement systematic trading strategies for credit and muni markets.
- Build and maintain quantitative models for pricing, risk management, relative value, and liquidity assessment.
- Produce regular analytics and bespoke research for traders and senior stakeholders.
- Collaborate with developers to automate data analysis, trading signals, and risk management processes.
- Stay up to date with market structure changes, regulatory updates, and new data sources relevant to credit/munis.
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Requirements
- 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 Skills
- 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.
Education
- (Not required) – Advanced degree (MS/PhD preferred) in a quantitative field such as Mathematics, Statistics, Computer Science, Engineering, or Finance.
- (Not required) – Preferred :
Quantitative Analyst – Credit / Municipal Bond Trading Strategies Role Overview : Join our dynamic team as a Quantitative Analyst focused on developing, implementing, and optimizing data-driven trading strategies across credit and municipal bond markets. You will collaborate with traders, portfolio managers, and technologists to analyze data, build statistical models, and generate actionable investment insights. Key Responsibilities :
Analyze large datasets related to credit and municipal bonds to identify inefficiencies, opportunities, and risks.
Develop, backtest, and implement systematic trading strategies for credit and muni markets.
Build and maintain quantitative models for pricing, risk management, relative value, and liquidity assessment.
Produce regular analytics and bespoke research for traders and senior stakeholders.
Collaborate with developers to automate data analysis, trading signals, and risk management processes.
Stay up to date with market structure changes, regulatory updates, and new data sources relevant to credit/munis. 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.
Analyze large datasets related to credit and municipal bonds to identify inefficiencies, opportunities, and risks.
Develop, backtest, and implement systematic trading strategies for credit and muni markets.
Build and maintain quantitative models for pricing, risk management, relative value, and liquidity assessment.
Produce regular analytics and bespoke research for traders and senior stakeholders.
Collaborate with developers to automate data analysis, trading signals, and risk management processes.
Stay up to date with market structure changes, regulatory updates, and new data sources relevant to credit/munis. 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.