Senior Data Scientist (VP)

About the Company

The client is a firm that integrates deep sector expertise with a data-driven methodology to investment decision-making and portfolio management.

Role Overview

This position requires leading the development and deployment of sophisticated time series forecasting and predictive analytics models tailored to investment contexts. The candidate will also collaborate intimately with investment teams to extract meaningful insights from complex data to support critical decisions.

Key Responsibilities

• Lead forecasting and predictive analytics initiatives focusing on private market investments.
• Establish and nurture a high-performing data science team driving impactful quantitative research.
• Design, implement, and promote best practices in statistical modeling, machine learning, and quantitative analysis.
• Mentor team members fostering collaborative and productive work environments.
• Research and incorporate innovative analytic techniques to improve forecasting accuracy and portfolio insights.

Candidate Profile

• Extensive experience in Data Science or Quantitative Analytics within financial services, asset management, or investment sectors.
• Strong knowledge of time series analysis, forecasting methodologies, and predictive analytics combined with solid statistical foundations.
• Proven track record in leading and mentoring data science teams and handling sophisticated analytical projects.
• Proficiency in Python, R, and SQL along with modern data science technology stacks.
• Familiarity with AI and Generative AI concepts is a bonus, though advanced expertise in large language models, vector databases, or agent-based frameworks is not mandatory.

Benefits and Opportunities

• Chance to shape investment results within a prominent private markets investment platform.
• Work with complex, significant datasets and contribute to high-level strategic investment initiatives.