Commodities Analytics Lead

3 weeks ago


New York, New York, United States Balyasny Asset Management Full time
About the Role

This is an exciting opportunity to join Balyasny Asset Management's commodities analytics team as a skilled Data Engineer. In this role, you will be responsible for designing and implementing data-driven solutions to support trading operations.


Key Responsibilities
  • Develop and maintain data architectures using cloud-based technologies.
  • Collaborate with the PM team to accelerate data delivery and enhance analytics capabilities.
  • Design and implement statistical models to support trading decisions.

Salary Information

The estimated annual salary for this position is $130,000 - $200,000, based on your level of experience.


Requirements

To be successful in this role, you must have:

  • A Master's degree in Statistics, Mathematics, Computer Science, or a related field.
  • At least 2 years of experience with Python core libraries, including Pandas and PySpark.
  • Familiarity with visualization tools like Tableau and PowerBI.
  • Strong statistical modeling and financial analysis skills.
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