Lead Python Developer (Fixed Income Experience)

Newark, NJ (Hybrid/Onsite)

12+ Months

$75/HR on W2

NO THIRDPARTY VENDORS PLEASE. NO THIRD PARTY VENDORS PLEASE.

*****W2 CANDIDATES ONLY. CANDIDATES WITH FIXED INCOME EXPERIENCE WILL ONLY BE CONSIDERED FOR THIS ROLE. SHOULD HAVE AT LEAST 3 YEARS LEAD EXPERIENCE.*****

*****LOCAL CANDIDATES PREFERRED. BUT, WE CAN CONSIDER RELOCATION CANDIDATES FROM DAY ONE ALSO.*****

Job Overview:

We are seeking an experienced Lead Python Developer with strong expertise in fixed income markets to join our team on a contract basis. The ideal candidate will have a deep understanding of fixed income instruments (bonds, treasuries, MBS, etc.), pricing, risk analytics, and trading workflows. You will lead the development of Python-based solutions to enhance trading systems, analytics platforms, and data pipelines.

Key Responsibilities:

✅Design, develop, and maintain Python-based applications for fixed income trading, analytics, and risk management.

✅Work closely with quants, traders, and risk managers to implement pricing models, yield curve construction, and risk metrics.

✅Optimize and refactor existing codebase for performance, scalability, and maintainability.Integrate with market data providers (Bloomberg, Refinitiv) and internal databases.

✅Develop and enhance data pipelines for fixed income securities using Pandas, NumPy, and PySpark.

✅Lead code reviews, mentor junior developers, and enforce best practices in software development.

✅Collaborate with DevOps to deploy applications in cloud environments (AWS/Azure).

✅Ensure compliance with financial regulations and internal risk controls.

Required Skills & Experience:

✅12+ years of Python development experience and 3-5 years experience in a financial services/fixed income environment.

✅Strong knowledge of fixed income products (bonds, treasuries, ABS, MBS, CDS, etc.) and analytics (duration, convexity, OAS, etc.).

✅Proficiency with Python libraries (Pandas, NumPy, SciPy) and quantitative finance tools.

✅Experience with SQL databases (PostgreSQL, SQL Server) and time-series data.

✅Familiarity with cloud platforms (AWS, Azure) and containerization (Docker, Kubernetes).

✅Knowledge of fixed income trading systems (Murex, Calypso, Bloomberg TOMS) is a plus.

✅Strong problem-solving skills and ability to work in a fast-paced trading environment.

✅Excellent communication skills to collaborate with traders, quants, and IT teams.

Preferred Qualifications:

✅Experience with Dask, PySpark, or distributed computing for large-scale fixed income data.

✅Knowledge of CI/CD pipelines and automated testing frameworks.

✅Previous experience in a leadership or architect role in a financial firm.