Data Scientist, Mi-Analytics

About Point72

Point72 is a leading investment firm that leverages data science and engineering techniques to uncover insights about companies, industries, and the broader economy.

Job Summary

As a Data Scientist with a focus on alternative data, you will work in close partnership with investment professionals to turn complex datasets into actionable insights that inform discretionary investment strategies.

Key Responsibilities

• Work with large, complex, and often unstructured datasets, transforming them into formats that enable meaningful analysis.
• Design and implement statistical, machine learning, and generative AI–driven solutions to uncover patterns, test hypotheses, and generate forecasts.
• Develop research tools and analytical frameworks that can be scaled or adapted for recurring use by investment teams.
• Manage the full research lifecycle—from designing methodologies and preparing data to validating models and monitoring ongoing performance.
• Collaborate with investment, research, engineering, and compliance experts to ensure research outcomes are relevant, high quality, and meet the firm’s rigorous ethical standards.
• Present insights clearly through reports, visualizations, and presentations tailored to both technical and non-technical audiences.
• Stay engaged with emerging trends in alternative data, statistics, ML, and GenAI applications to continually enhance research capabilities.

Requirements

• Master’s degree in a quantitative discipline with 2+ years of relevant professional experience, or a PhD in a related field.
• Deep knowledge of statistics, data mining, and machine learning.
• Strong programming skills in Python, SQL, Spark, and/or R.
• Experience working with large, complex, and often unstructured datasets in applied research or real-world business contexts.
• Proven ability to design and deliver analytical solutions with clear commercial impact, from methodology selection through implementation, validation, monitoring and refinement.
• Exceptional communication abilities and capable of translating complex quantitative findings for both technical and non-technical audiences.
• Experience with applying Generative AI tools to enhance analysis is a plus.
• Organisational skills and adaptability, with the ability to manage multiple projects in a fast-paced environment and work independently.