We are seeking a highly motivated Quantitative Researcher / Strategist to join our trading and research team. The successful candidate will play a key role in developing quantitative models, supporting trading decisions, and enhancing analytics capabilities across energy markets.
Key Responsibilities
- Develop and maintain quantitative factor frameworks for oil & gas futures, integrating multi-factor signals into trading strategies.
- Design and enhance seasonality analytics frameworks, including data architecture, core algorithms, statistical validation, and interactive visualization for petroleum products.
- Support the trading team with full-stack analytics tooling, leveraging AI and advanced analytics to streamline and enhance the trading process.
- Conduct quantitative research, back-testing, and performance analysis to support systematic and discretionary trading strategies.
- Collaborate closely with traders and other stakeholders to translate research insights into actionable strategies.
Qualifications & Experience
- Bachelor's degree in Statistics, Finance, Mathematics, Engineering, or a related field Master's degree preferred.
- Proven experience in quantitative research or strategy development, particularly in energy commodities (oil & gas futures).
- Strong understanding of multi-factor models and quantitative signal integration.
- Solid knowledge of seasonality analysis and statistical modeling techniques.
- Experience in crypto trading is an added advantage.
Technical Skills
- Proficiency in Python and SQL.
- Experience with Bloomberg, ICE Connect, or other market data platforms.
- Familiarity with data visualization, machine learning, and AI-driven analytics is highly desirable.
