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Data Scientist at WorldQuant - ApplyBlast

Data Scientist

WorldQuant

1 month ago

4.2 on Glassdoor

New Delhi, Delhi, India

Onsite

Full Time

Medior

0 applicants

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About this role

WorldQuant is seeking a Data Scientist to join its rapidly growing intraday team, where you will research, engineer, and validate quantitative signals derived from high-frequency equity market data. This research-focused role involves owning the full lifecycle of a signal, from hypothesis formation and feature engineering to backtesting and production deployment. The position requires close collaboration with quantitative researchers, data engineers, and technologists to develop tradable insights and automate development workflows.

Responsibilities

Research and engineer quantitative signals from high-frequency market data
Implement and validate trading signals using internal simulation frameworks
Develop deep learning and machine learning applications for high frequency data

Skills

About WorldQuant

worldquant.com

Headquarters

Old Greenwich, Connecticut, United States

Company Size

501-1000 employees

Founded

2007

View Profile

WorldQuant is a global quantitative asset management firm founded in 2007 by Igor Tulchinsky, with more than 1,100 employees across 28 global offices. The firm builds systematic, data-driven investment strategies powered by proprietary technology, machine learning, and large-scale data. WorldQuant's founder has also established independent entities—WorldQuant University and WorldQuant Ventures—that apply data and talent to challenges beyond financial markets.