Commodities Analytics Lead
3 weeks ago
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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