Role & Company
An energy and commodities trading firm, based in Manhattan, are looking for an Energy Trading Data Scientist to join their team. They are actively seeking a candidate with extensive practical experience in the field of Machine Learning, particularly valuing individuals with a background in Energy and Pricing data. It is a great role for someone who has a mixed skillset of Quant and Power fundamentals and wants to become a Portfolio Manager in 2 years time.
You will be:
- Designing, building, and deploying predictive models to optimize trading strategies.
- Providing insights by analyzing market trends, forecasting prices, and evaluating risk.
- Working closely with Portfolio Managers to implement innovative solutions.
Qualifications and Requirements:
- Strong statistical background working in a Data Science or Quantitative role.
- Exposure to fundamental market conditions and drivers impacting power markets in the East Regions of North America.
- Exposure to the fundamentals affecting the supply and demand in the Natural Gas markets (beneficial).
- Proficiency in energy and commodities trading.
- Proficient with Python, SQL, Excel and VBA, or other programming languages
- Advanced expertise in Generalized Linear and Non-Linear Models, Time Series Analysis, Random Forest, Gradient Boosted Machines, and Neural Networks.
Interviews are commencing from this week, with the view of the right candidate getting started as soon as possible.
The role offers a salary range of $150,000-$225,000 with a bonus dependent on performance which could reach 3x salary.
The offices are in Manhattan, where you will be required to work on-site 4 days a week.
If interested, please apply.
a.desmit@x4lifesciences.com
Equal Opportunity Employer/Disability/Veterans.
