FULL TIME|Not specified, Not specified|Опубликовано 2/12/2026
WorldQuant /Quantitative Research Analyst
Описание
WorldQuant is a global quantitative asset management firm focused on developing and deploying systematic trading strategies. The Quantitative Research Analyst role involves conducting data-driven research, developing predictive models, and contributing to alpha generation using statistical and machine learning techniques in financial markets.
Обязанности
- Conduct quantitative research using large financial datasets
- Develop and test predictive models and trading signals
- Analyze market data to identify patterns and opportunities
- Implement statistical and machine learning techniques
- Collaborate with global research and technology teams
- Optimize models for performance and robustness
- Document research findings and present insights
Требования
- Strong background in mathematics, statistics, computer science, or finance
- Proficiency in Python or other programming languages
- Knowledge of statistical modeling and data analysis
- Understanding of financial markets is a plus
- Experience working with large datasets
- Strong analytical and problem-solving skills
- Ability to work independently in a research-driven environment
Навыки
Quantitative ResearchPythonStatisticsData AnalysisMachine LearningFinancial MarketsAlgorithmic TradingMathematical ModelingSQLProblem Solving
WorldQuant
WorldQuant is a global quantitative investment management firm that develops and deploys systematic trading strategies across global financial markets. Founded in 2007, the company focuses on building data-driven investment models using advanced mathematics, statistics, and machine learning techniques. WorldQuant operates with a research-driven approach, leveraging large-scale data analysis and algorithmic modeling to identify investment opportunities. The firm maintains a global presence with research offices and teams collaborating across regions to design and optimize quantitative strategies.