We are seeking a Senior Data Scientist to drive the development and application of advanced analytics and machine learning solutions at a leading global commodities trading firm.
In this pivotal role, you will design and deploy models that enhance trading strategies, optimize pricing mechanisms and strengthen risk management capabilities.
You will collaborate with global trading teams and technology partners to deliver impactful, data-driven solutions that support the company's growth and competitive advantage.
Responsibilities
As a Senior Data Scientist, your primary responsibilities will include developing and deploying AI/ML models to support trading related decision-making.
You will work closely with traders, quants, and business stakeholders to translate complex business challenges into data-driven solutions.
You will be expected to design forecasting and simulation models, build scalable data pipelines, and contribute to the development of next-generation trading platforms.
Additionally, you will play a role in advancing best practices in model governance, testing, and deployment across the global Data Centre of Excellence.
Requirements
To be successful in this role, you should have at least 5 years of experience in data science, quantitative research, or a related field, with a strong track record of applying machine learning to trading, pricing, or risk data.
Proficiency in Python, SQL, and ML frameworks such as TensorFlow, PyTorch, or scikit-learn is required.
Expertise in time-series forecasting, statistical modeling, and simulation techniques is essential.
Experience in energy or commodities trading, or financial services front office environments, is highly advantageous.
Strong communication skills, problem-solving ability, and experience deploying models into production environments are critical.
Familiarity with cloud-based platforms and modern MLOps practices is preferred.
To Apply:
Interested candidates, please send your CV to Due to the high volume of applications, only short-listed candidates are notified.
Registration No: R
License No: 16S8060