Senior Data Scientist (VP)
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Key skills for this role
Role Overview
VP-level Senior Data Scientist role focused on forecasting and predictive analytics in private markets.
The organization uses data-driven analysis to support investment decisions and portfolio management.
Key Skills for This Role
Full Job Posting
Role Overview
VP-level Senior Data Scientist role focused on forecasting and predictive analytics in private markets.
The organization uses data-driven analysis to support investment decisions and portfolio management.
Job Description
- Lead the design and deployment of advanced time-series forecasting and predictive analytics models for investment applications.
- Partner with investment professionals to uncover insights from complex datasets and support investment decisions.
- Drive best practices across statistical modeling, machine learning algorithms, and quantitative research.
- Mentor and develop a data science team in a collaborative, high-performing environment.
- Evaluate analytical approaches that improve forecasting accuracy and portfolio insights.
Successful Applicant
- Significant data science or quantitative analytics experience in financial services, asset management, or investment organizations is required.
- Strong expertise in time-series analysis, forecasting, predictive analytics, and statistical methodologies is required.
- Experience leading or mentoring data science teams and managing complex analytical projects is required.
- Proficiency with Python, R, SQL, and modern data science toolsets is required.
- Exposure to AI or generative AI concepts is advantageous.
Opportunity
- Opportunity to influence investment outcomes within a private-markets platform.
- Exposure to complex datasets and strategic investment initiatives.
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