Credit ML Quant Developer
A fast growing financial firm in NYC is redefining corporate bond markets through machine learning and advanced analytics. This team is at the cutting edge of fixed income innovation and they're hiring Credit Quant Developers to build intelligent systems that power real-time pricing, signal generation, and automated execution.
This is a front-office, high-impact role where you'll work shoulder-to-shoulder with traders, quants, and data scientists to deploy ML models into production, optimize trading strategies, and engineer scalable infrastructure for electronic credit trading.
What You'll Do:
- Build and maintain real-time systems for pricing, analytics, and execution of corporate bonds
- Collaborate with quants and data scientists to develop and deploy ML models for signal research and strategy optimization
- Engineer scalable infrastructure in Python and distributed environments, with a focus on performance and reliability
- Work with tick-level market data to uncover patterns and drive predictive modeling
Ideal Candidate:
- 4+ years of experience in Python development, ideally in a credit or fixed income trading environment
- Strong understanding of corporate bond markets, pricing models, and trading workflows
- Experience deploying ML models in production and working with large-scale financial datasets
- Proficiency in Python and a compiled language (C++ or Java)
- Familiarity with distributed systems, Docker, databases (SQL/NoSQL), and CI/CD pipelines
- Bonus: Experience with low-latency trading, GCP, Kubernetes, Apache Spark, or deep learning frameworks
If interested, please apply today.
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