The candidate will work with the Global Quantitative Strategy research team developing new investment strategies for stock selection and allocation (styles, sectors, countries, and regions) to be published in research reports which are distributed to clients of the firm globally.
Working with Quantitative Strategist to implement new research ideas using new-age analytics.
Involved in identifying bottle necks in existing processes and providing innovative automated solutions.
Presenting complex analysis to a diverse audience of investors.

Highly analytical, numerate, and detailed minded.
Bachelor degree or higher in Computer Science, Mathematics, Statistics, Finance, or similar analytical field.
At least three years of experience with Python and SQL, with a strong ability to build scalable, production-quality analytics, data pipelines, and research tools.
Proficiency with market data and analytics platforms, particularly FactSet and Bloomberg; experience with RavenPack or other alternative data analytics platforms would be highly valued.
Able to actively embrace AI and emerging technologies to improve research productivity, automate workflows, and enhance investment insight generation.
Experience working with large, complex, and unconventional data sets, with solid knowledge of data structures, algorithms, and scalable data-processing techniques.
Strong communication skills.
Proven ability and willingness to work as a member of a team.
Talent for distilling complex information into clear, actionable insights.
Experience presenting to institutional clients will be highly valued.

Associate / VP – Quantitative Analyst – Quant Strategy Research

Key skills