Credit Card Risk ML Engineer – Portfolio Forecasting

A leading global financial services firm is seeking a candidate for the Portfolio Risk Modeling team. The role involves working with a large codebase and performing machine learning tasks to extract models from large datasets. A Master's degree in a quantitative field is required, along with proficiency in Python. Preferred qualifications include a PhD and experience with big data environments using Hadoop, Spark, and Hive.

This position offers an opportunity to collaborate across teams and influence business decisions.
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