What are the responsibilities and job description for the Fundamentals Analyst position at Optimus - People. Solutions. Delivered.?
A key Optimus gas/power trading client located in Austin, TX is looking for a Natural Gas Fundamentals Analyst to bring talent and new ideas to their team. You will play a crucial role in building and maintaining fundamental models to develop profitable trading strategies while working in a financially stable "start up" environment where creativity, honesty, and fun are highly valued.
Qualified candidates, please send your resume to Jennifer.hibbetts@optimus-us.com.
Responsibilities:
- Develop and maintain quantitative models related to North American natural gas fundamentals, including supply-demand models.
- Create and update production and demand forecasts.
- Collaborate with traders and software developers to build tools and analyses that support and enhance algorithmic trading strategies.
- Conduct back-testing and validation of algorithmic trading strategies to ensure model reliability and accuracy before deployment.
- Ensure the quality and accuracy of data inputs for trading models.
- Manage and maintain thorough documentation to provide complete coverage of model functionalities and interfaces.
Qualifications:
- Master’s degree in finance, economics, or a related quantitative field.
- Minimum of 3 years of relevant experience in supply/demand analysis and modeling for North American natural gas.
- Strong experience with statistical weather normalization techniques and modeling of various components of natural gas supply and demand.
- Proficiency in programming, preferably in Python.
- Strong written and verbal communication skills in English.
Personal Skills:
- Attention to detail and commitment to high-quality work.
- Ability to work effectively in a fast-paced, collaborative environment.
- A curious mindset with a constant drive to improve and optimize existing processes.
- Strong communication skills with the ability to share opinions and knowledge confidently.
- A team-oriented approach with a focus on cross-functional and cross-team collaboration.
