Quantitative Researcher (İstanbul- Ankara)

Quantitative ResearcherWe are seeking a Quantitative Researcher for our company operating in the oil and gas sector.Location: İstanbul- AnkaraAbout the RoleWe are looking for a Quantitative Researcher to join our growing commodities research team.You will work on developing, testing, and implementing data-driven trading and forecasting models using quantitative and machine learning techniques.This role is ideal for someone with a strong analytical mindset, programming skills, and a passion for financial markets — prior experience in commodities is not required.ResponsibilitiesDevelop and test quantitative models for commodity price forecasting and market analysis.Work with time series and alternative datasets to extract predictive signals.Research and implement machine learning algorithms for forecasting and trading strategies.Collaborate with data engineers and traders to integrate models into production workflows.Continuously monitor model performance and improve robustness and interpretability.Requirements1–2 years of experience as a Quantitative Researcher, Data Scientist, or similar analytical role.Strong programming skills in Python (pandas, NumPy, scikit-learn, PyTorch, etc.).Solid understanding of statistics, econometrics, and machine learning.Experience with time series modeling (ARIMA, XGBoost, LSTM, etc.) is a plus.Strong analytical and problem-solving skills with attention to detail.Good communication skills and ability to work collaboratively in a research-driven environment.Nice to HaveExposure to financial markets, especially commodities or macro data.Knowledge of quantitative finance concepts (futures, hedging, spreads, volatility, etc.).What We OfferContinuous Learning: A culture of continuous development with opportunities to attend conferences and in-house tech events to stay up-to-date on the latest trends (everyone is encouraged to share knowledge internally and with the community).Training Resources: Free access to online training platforms such as Udemy, Harvard ManageMentor, and GetAbstract for ongoing professional development.Allowances: Monthly meal and internet allowances to support your day-to-day work needs, plus a transportation allowance for commute expenses.Home Office Support: A one-time gift voucher to help you meet your tech needs and set up an ergonomic workspace at home.Health Benefits: Private health insurance coverage for your peace of mind.Birthday Leave: An extra day of leave on your birthday to celebrate your special day.