Jobs at WorldQuant

Conduct quantitative investment research to develop predictive signals and computer-based models for global financial markets. Explore market data, identify inefficiencies, create financial strategies, and collaborate on alpha production. The role requires strong analytical and programming skills, independent problem-solving, attention to detail, and an interest in finance. Candidates must be highly accomplished academically, proficient in Python and C/C++ on Unix/Linux, and able to communicate complex concepts clearly.

Provides level-one operational support to front-office teams and portfolio managers, including regional start-of-day checks, exception and alert management, trading outage resolution, issue escalation, workflow improvement, and global activity reconciliation. Handles counterparty breaks and supports daily portfolio and treasury operations. Requires flexibility for night shifts and strong problem-solving, communication, and attention to detail.

The Business Analyst will oversee guideline monitoring, support product onboarding, perform compliance reporting, analyze operations, and manage projects within the Platform Solutions team at WorldQuant.

The Deep Researcher will develop predictive signals for financial markets using quantitative analysis, focusing on fundamental knowledge and data exploration.