| Company | Global Financial Services Firm |
| Company Info | It is a diversified global investment firm that handles over $20 billion in assets under management |
| Job Title | Commodities Quantitative Data Scientist |
| Job Short Desc | Join as a Commodities Quantitative Data Scientist to validate and enhance historical commodities data. Formulate models, improve data quality, and collaborate with Portfolio Managers and Risk Management in a rapidly growing team. |
| Salary | Variable based on experience |
| Locations | USA - New York |
| Visa | Y |
| Job Summary | We are seeking a Commodities Quantitative Data Scientist to join our industry-leading Commodities Data team. In this role, you will play a pivotal part in the rapidly growing Commodities business. Responsibilities include formulating and implementing models for validating and correcting historical commodities prices and derivatives, developing methodologies to improve data quality, and applying quantitative methods to solve data quality challenges. You will collaborate closely with Portfolio Managers and Risk Management to collect model requirements and validate outputs, as well as assist in calibrating risk systems for new products and physical assets. To excel in this role, you should have a strong academic background in quantitative fields, 5+ years of commodities quant experience, and expertise in valuing physical commodity assets. Proficiency in Python, SQL, and strong problem-solving skills are essential. If you enjoy a collaborative environment and can communicate complex ideas clearly, we invite you to apply and contribute to our Commodities Data organization's overall success. |
| Criteria | | Formulate and validate commodities models | | Enhance data quality and methodologies | | Collaborate with Portfolio Managers and Risk Management |
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| Apply | Apply |