Role:
Research analyst on a credit-focused discretionary macro portfolio management team. The analyst will work directly with the PM to conduct fundamental bottoms up research to generate commercial trade ideas across the full credit spectrum—Investment Grade and High Yield corporate bonds and their derivatives.
Responsibilities:
- Build and maintain quantitative models for credit analysis, relative value identification, and risk management
- Develop automated data pipelines for market data, fundamentals, and alternative datasets
- Implement systematic signals and backtesting frameworks for trade idea generation
- Create portfolio analytics, risk monitoring tools, and scenario analysis capabilities
- Build relative value models across hundreds of securities in the credit universe
- Automate repetitive analysis and reporting to improve team efficiency
- Collaborate with the PM to translate investment hypotheses into testable quantitative frameworks
- Monitor model performance, validate assumptions, and iterate on approaches
Requirements:
- Bachelor's or Master's degree in computer science, statistics, mathematics, physics, engineering, or similar quantitative discipline
- Strong programming skills in Python (pandas, numpy, scipy, scikit-learn) and SQL
- Experience with data manipulation, statistical modeling, and time series analysis
- Understanding of financial markets, particularly fixed income and credit derivatives
- Ability to build production-quality code with proper testing and documentation
- Strong problem solving skills and attention to detail in quantitative work
- Good communication skills and ability to explain technical concepts to non-technical stakeholders
- Intellectual curiosity and passion for applying quantitative methods to financial markets
- Ability to take ownership of projects from conception to production
- Hard working competitive spirit
- Commitment to the highest ethical standards