Quantitative Researcher

We are looking for a quantitative researcher to join our systematic commodities trading team and build the forecasting models behind our strategies.

The team

You will join a team of 5 that researches and trades systematic strategies across commodity futures. You will work side by side with the traders and the engineer to deliver research ideas into production-grade strategies.

Responsibilities

• Research and develop systematic strategies across futures, with a strong emphasis on commodities, applying statistical and machine learning.

• Own the research process end to end: experiment design, dataset generation, time-series analysis, feature engineering, model building, backtesting, and productionizing the signal.

• Run research workloads efficiently on our distributed, cloud-based compute platform, and work with the platform engineer to shape new capabilities.

• Collaborate closely with traders, engineers, and core technology teams to find the best expression of new ideas in the portfolio.

• Document research findings with academic rigor

Qualifications

• BS, MS or PhD in Statistics, Mathematics, Physics, Computer Science, Engineering, Quantitative Finance, or a related quantitative field

• Demonstrable experience with forecasting, machine learning, and deep learning techniques

• Strong programming skills in Python, including pandas and PyTorch

• Experience running research or data workloads on distributed or cloud compute (AWS preferred)

• Strong grounding in time-series analysis and experiment design, with the discipline to avoid overfitting

• Creative, self-motivated, and intellectually curious, with a precise communication style and a desire to work in a small, collaborative, fast-paced team

• Proven experience developing successful quantitative trading strategies is preferred, though not required

• Experience with SQL or time-series databases, C++, and commodities or energy markets is a plus

Statar Capital LLC is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status, or any other protected class.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.