A $25bbn+ Commodity Trading Firm in the NYC area is looking for a Commodity Quant Analyst to assist their power and gas trading teams. The firm has cemented themselves as one of the largest and most successful commodity trading funds over the last 10+ years and are looking to further increase heacount in their quant business in order to spearhead new initiatives. The firm is committed to further embedding advanced data science and machine learning methods that will provide a competitive edge to their strategies and are actively seeking someone who can provide novel approaches in order for them to actualize these projects.
The fund offers incredible growth potential for the people within their business, autonomy to explore new technologies that can further drive performance of strategies and a flat structure that encourages collaboration across multiple teams within the firm. The ideal candidate will have:
- 2+ years experience working as a Data Scientist, Quant Analyst, Quant Developer and/or Quant Researcher in the commodities space
- Previous experience in power/gas is not a must but interest in these markets is necessary
- Advanced Python skillset
- Experience working with various data science/ml methods (leveraging ML on financial data is a big plus)
- Advanced STEM degree
- Strong communication skills/desire to work in a team environment
