Automated Trading Associate — ML/Quant Focus

A leading financial institution seeks an Associate/VP in Automated Trading Strategies focused on US Treasuries. You will build systematic trading strategies using quantitative and machine learning approaches in a fast-paced environment. Responsibilities include data analysis, back-testing, and expanding modeling tools. An advanced degree in a quantitative field and programming skills in C++/Java are essential. Prior experience in UST e-Trading is preferred. Strong communication skills are required due to the global team setup.

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