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FULL TIMENot specified, Not specifiedVeröffentlicht 2/12/2026hybrid
Quantitative Research Analyst
By WorldQuant
Übersicht
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.
Aufgaben
- 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
Anforderungen
- 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
Kenntnisse
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.
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.