Quantitative Researcher, Credit Market Making (IG Credit/Munis)
Location: New York, NY
Division: Credit Quantitative Research - Electronic Trading
Level: VP (Associate level may be considered for exceptional candidates)
- IG Credit Market Making
- Munis Market Making
- Mid/Reference Price Modeling: Use statistical and machine learning techniques to develop real-time mid/reference price models for corporate bonds and municipal products.
- Data Analytics & Infrastructure: Build and maintain analytics libraries and systems that support pricing, liquidity, and execution decisions across Credit flow products.
- Model Research & Deployment: Conduct research, backtesting, and performance analysis of models; deploy production-grade solutions in collaboration with trading and technology teams.
- Cross-Functional Collaboration: Partner with traders, market makers, and technologists to improve workflows, enhance model explainability, and drive adoption of analytics tools.
- AI/ML Integration: Explore and apply modern AI/ML techniques to improve model robustness, scalability, and predictive power, especially in low-touch and systematic trading contexts.
- Business Alignment: Ensure models and tools are aligned with trading objectives and contribute meaningfully to P&L and risk management.
- Advanced degree (PhD or Master's) in a STEM field such as Financial Engineering, Applied Mathematics, Computer Science, or Physics.
- Strong background in statistics, probability, and machine learning; familiarity with techniques such as parameter optimization, regularization, neural networks, and Gaussian processes.
- Hands-on experience with real-world datasets and practical data analysis.
- Deep understanding of Linear Credit instruments (Bonds, Loans, CDSs); experience with Municipal products is a plus.
- Strong programming skills in Python (pandas, NumPy, scikit-learn, TensorFlow, Spark, etc.); experience with C++ or Java for production systems is preferred.
- Experience with reactive programming and real-time analytics systems is a plus.
- Excellent communication and presentation skills; ability to summarize complex analysis for trading and management audiences.
- Proactive, detail-oriented, and comfortable working in a high-pressure, fast-paced environment.
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