Quant Researcher/Analyst - Commodities
I am working with a leading global energy trading firm that is seeking to add both a Quantitative Analyst and Quantitative Researcher to their high-performing team. This is an exciting opportunity to join a dynamic environment where innovation and data-driven decision-making are at the core of the business. In this role, the ideal candidate will help design, build, and maintain cutting-edge systems, develop robust predictive models, and deploy advanced trading solutions focused on electricity and power markets. The team values individuals who can combine strong technical skills with commercial awareness to deliver impactful results.
The firm is looking for candidates with prior experience supporting a commodities trading desk, particularly in power or energy markets. Proficiency in Python and familiarity with libraries such as NumPy, Pandas, Numba, SciPy, and Streamlit is essential. Exposure to both discretionary and systematic trading strategies is highly desirable. If you are passionate about quantitative research and want to contribute to a collaborative, intellectually rigorous environment, we encourage you to apply.
Responsibilities:
- Build and maintain scalable systems that integrate large datasets into robust models for trading, investment decisions, and forecasting.
- Collaborate closely with other researchers and analysts to solve complex problems, refine methodologies, and enhance analytical frameworks.
- Contribute to the development of innovative tools and processes that improve trading efficiency and risk management.
Qualifications:
- Master's or PhD in a STEM field (Computer Science, Engineering, Applied Mathematics, Statistics, etc.).
- Strong programming skills in Python and experience with scientific computing libraries.
- Exceptional analytical and quantitative abilities with a proven track record of applying them in real-world scenarios.
- Prior experience in commodities markets, ideally electricity or power trading.
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