Quantitative Researcher

Role & responsibilities

• Conduct research on large, real-world datasets to develop and test trading strategies
• Perform statistical analysis and backtest investment signals across equity markets
• Design, develop, and validate predictive models using advanced quantitative techniques
• Collaborate with other team members to solve complex data and modeling challenges
• Present findings in a clear and structured format to both technical and non-technical stakeholders
• Stay abreast of the latest advancements in quantitative finance, machine learning, and data science

Preferred candidate profile

• Strong programming skills in Python and/or C++
• Experience in a data-driven research environment, preferably within the financial sector
• Proficient in building and testing algorithms for data processing and strategy evaluation
• Deep understanding of statistical modeling, machine learning, time-series analysis, and pattern recognition
• Hands-on experience with data cleaning, preprocessing, and SQL-based data querying
• Experience working with cloud storage solutions (e.g., Azure)
• Ability to perform independent research and take full ownership of projects
• Excellent communication skills, including the ability to present complex concepts clearly