Overview
On Site
Full Time
Skills
Quantitative Research
Equities
Quantitative Analysis
Strategy Development
Workflow
Data Analysis
Computer Science
Statistics
Applied Mathematics
Python
Data Science
Pandas
scikit-learn
NumPy
Statistical Models
Machine Learning (ML)
Time Series
Unstructured Data
Communication
Collaboration
Trading
Finance
Research
Job Details
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
Qualifications
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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.