remote
Associate Modelling Data Scientist - BlackRock
Data Scientist
Develop high‑performance algorithms, predictive models, and analytical prototypes to support trading, investment strategy, and research initiatives using Python, machine learning, and cloud‑based data platforms.
About the role
Key Responsibilities
- Design and implement sophisticated analytical systems that inform trading decisions, investment strategies, and research initiatives.
- Build, test, and deploy high‑performance machine‑learning models and predictive algorithms.
- Create prototypes and proofs of concept to evaluate new data‑driven approaches.
- Develop data pipelines and visualizations to transform raw data into actionable insights.
- Collaborate with cross‑functional teams to integrate models into production environments and ensure scalability.
Requirements
- Strong programming skills in Python and experience with machine‑learning libraries (e.g., scikit‑learn, TensorFlow, PyTorch).
- Solid foundation in statistical modeling, time‑series analysis, and predictive analytics.
- Proficiency in SQL and experience building data pipelines on cloud platforms such as AWS.
- Ability to translate complex data findings into clear visualizations and business recommendations.
- Graduate degree in a quantitative field (e.g., Computer Science, Statistics, Applied Mathematics) or equivalent experience.
Skills
pythonmachine learningsqlaws