Position Overview: I am working with a well backed energy trading hedge fund looking for a highly skilled and motivated Quantitative Researcher to join their Natural Gas Trading team. The successful candidate will be responsible for developing, implementing, and optimizing quantitative models to support natural gas trading strategies. This role requires a strong foundation in quantitative analysis, statistical modeling, and a deep understanding of the natural gas markets.
Responsibilities:
- Model Development: Design and develop quantitative models for natural gas price forecasting, risk management, and trading strategies using statistical, econometric, and machine learning techniques.
- Strategy Implementation: Collaborate with traders and other team members to implement and test trading strategies.
- Data Analysis: Collect, clean, and analyze large datasets related to natural gas markets, including historical prices, supply and demand factors, weather patterns, and economic indicators.
- Risk Management: Develop risk models and tools to identify and mitigate trading risks. Perform stress testing and scenario analysis to ensure robust risk management practices.
- Market Research: Conduct in-depth research on market trends, regulatory changes, and technological advancements impacting the natural gas markets.
Qualifications:
- Education: Ph.D. or Master's degree in a quantitative discipline such as Mathematics, Statistics, Physics, Engineering, or a related field.
- Experience: Minimum of 3 years of experience in quantitative research or trading, preferably within the energy or commodities markets.
- Technical Skills: Proficiency in programming languages such as Python, R, or MATLAB. Experience with statistical software and data visualization tools.
- Market Knowledge: Strong understanding of natural gas markets, including factors influencing supply and demand, price drivers, and market structure.
