Quantitative Trading & Research – Credit Portfolio – Associate
On-site · New York City, New York, United States
Job Summary
Associate in Quantitative Trading & Research Portfolio builds data-driven, AI-powered tools to help traders act faster and manage risk smarter. Responsibilities include designing, building, and deploying AI agentic workflows for risk monitoring, developing real-time data pipelines for intraday risk analytics, implementing ML models for risk forecasting and anomaly detection, creating dashboards for actionable risk insights, and collaborating with traders, quantitative researchers, risk teams, and technologists to translate business needs into resilient solutions.
Required Qualifications
- Advanced degree in a quantitative field or 3 years of related experience
- Hands-on data analytics and machine learning
- Strong programming skills in numerical and ML libraries
Desired Qualifications
- Advanced degree in Computer Science, Engineering, Mathematics, Physics, Statistics, or Financial Engineering
- 3 years of experience in quantitative research, data analytics, or a related technical role
- Hands-on experience in data analytics and machine learning
- Proficiency with numerical and machine learning libraries
- Strong analytical and problem-solving skills and ability to communicate complex ideas to business partners
- Familiarity with trading concepts, hedging, and risk measures
- Experience with real-time systems, event streaming, or time-series data
- Experience with UI design and visualization tools
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