ABOUT PROPRIETARY RESEARCH

On our proprietary research team—Market Intelligence— you will uncover insights about companies, industries, and the broader economy through deep compliant fundamental research and applying data science and engineering techniques to alternative data sets. In partnership with our investment professionals and Compliance team, our team of analysts, data scientists and engineers work together to produce compliant research and build tools that inform our firm’s investments. We look for other bright, motivated, and collaborative people to join our team and grow with us—a majority of the leaders in our group were promoted from within.

WHAT YOU’LL DO

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. You will apply advanced statistical, machine learning, and Generative AI techniques — leveraging each where most effective — to develop research products that add real commercial value. In this role, you will:

• 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

WHAT’S REQUIRED  

• 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 while engaging colleagues and managers for alignment and feedback
• Commitment to the highest ethical standards

TAKE CARE OF OUR PEOPLE

We invest in our people, their careers, their health, and their well-being. When you work here, we provide:

• Private Medical and Dental Insurances
• Generous parental and family leave policies
• Volunteer opportunities
• Support for employee-led affinity groups representing women, people of colour and the LGBQT+ community
• Mental and physical wellness programmes
• Tuition assistance
• Non-contributory pension and more

About Point72

Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth. For more information, visit https://point72.com/.