remote
Asset & Wealth Management - Data Scientist - Associate - Goldman Sachs
Data Scientist
Data Scientist in Asset & Wealth Management leveraging Python, Machine Learning, and statistical modeling to build AI‑driven models that enhance investment origination, due diligence, and performance across the full lifecycle.
About the role
Key Responsibilities
- Design, develop, and deploy data‑ and AI‑driven models to support investment origination, due diligence, and performance analysis.
- Apply advanced statistical and mathematical techniques to complex financial datasets, extracting actionable insights.
- Collaborate closely with deal teams, value accelerator, and portfolio management to integrate model outputs into decision‑making processes.
- Iterate on model performance, ensuring robustness, scalability, and compliance with regulatory standards.
- Communicate findings and recommendations to stakeholders through clear visualizations and reports.
Requirements
- Strong proficiency in Python and SQL for data manipulation and model implementation.
- Experience with machine learning frameworks (e.g., scikit‑learn, TensorFlow, PyTorch) and statistical modeling.
- Solid understanding of financial markets, investment processes, and portfolio analytics.
- Excellent problem‑solving skills and ability to translate business needs into technical solutions.
- Effective communication skills, capable of presenting complex analyses to non‑technical audiences.
Skills
pythonmachine learningdata analysissql