About the job

• Lead forecasting and predictive analytics in private markets
• Shape a high-performing data science capability
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About Our Client

The organisation combines deep industry expertise with a data-driven approach to investment decision-making and portfolio management.

Job Description

Lead the design and deployment of advanced time series forecasting and predictive analytics models for investment applications.

Partner closely with investment professionals to uncover insights from complex datasets and support investment decisions.

Drive best practices across statistical modelling, machine learning algorithms, and quantitative research.

Mentor and develop a team of data scientists, fostering a collaborative and high-performing environment.

Evaluate and implement innovative analytical approaches that enhance forecasting accuracy and portfolio insights.

The Successful Applicant

• Significant experience in Data Science, Quantitative Analytics, or a related field within financial services, asset management, or investment organisations.
• Strong expertise in time series analysis, forecasting models, predictive analytics, and statistical methodologies.
• Experience leading or mentoring data science teams and managing complex analytical projects.
• Proficiency with Python, R, SQL, and modern data science toolsets.Exposure to AI or Generative AI concepts is advantageous, but deep expertise in LLMs, vector databases, or agentic frameworks is not required.
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What's on Offer

• Opportunity to influence investment outcomes within a leading private markets platform.
• Exposure to complex, high-value datasets and strategic investment initiatives.
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Contact: Manpreet Kaur

Quote job ref: JN-092026-7094525c