About the Role
We're partnered with a globally leading trading firm seeking talented Research Data Scientists to join their Quantitative Research Teams. In this role, you will leverage cutting-edge data science techniques and alternative data sources to support the firm's quantitative trading and research efforts across Systematic Equities.
Your work will directly contribute to the development of trading strategies and insights, powering the firm's systematic trading initiatives. You'll collaborate closely with Quantitative Researchers, Quant Developers, and other stakeholders to translate complex research needs into scalable models and data products.
Key Responsibilities
• Develop and implement data-driven models using unique and diverse alternative datasets.
• Collaborate with quant teams to identify alpha opportunities and support strategy development.
• Design and maintain robust data pipelines and feature engineering workflows.
• Conduct exploratory data analysis and statistical research to uncover actionable insights.
• Communicate findings and model performance clearly to both technical and non-technical stakeholders.
• Contribute to the ongoing improvement of research infrastructure and tooling.
Qualifications
• Advanced degree (Master's or PhD) in Computer Science, Statistics, Applied Mathematics, or a related field.
• Strong programming skills in Python and experience with data science libraries (e.g., pandas, scikit-learn, NumPy).
• Solid understanding of statistical modeling, machine learning, and time-series analysis.
• Experience working with large, complex datasets, including alternative or unstructured data.
• Excellent communication and collaboration skills; ability to work cross-functionally with researchers and developers.
• Prior experience in a trading or financial research environment is a plus.
