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Quantitative Research Analyst

Inversiones Los Pinares S.A
Abu Dhabi, UAE
Part Time
Mid
5 days ago
PythonRSQLMATLABStatistical ModelingPredictive Modeling
Free

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Role Description

  • We are seeking a detail oriented and analytical Quantitative Research Analyst to support data driven decision making through rigorous research, statistical modeling, and quantitative analysis.
  • This role is responsible for collecting, processing, and interpreting large datasets to identify meaningful patterns, evaluate market behavior, and generate actionable insights that support business and investment strategies.
  • The ideal candidate possesses strong mathematical and analytical skills, enjoys solving complex problems, and is passionate about transforming data into practical business intelligence.

Responsibilities

  • Collect, clean, validate, and analyze structured and unstructured datasets from multiple sources.
  • Develop quantitative models to evaluate trends, identify patterns, and support strategic decision making.
  • Conduct statistical analysis, hypothesis testing, and predictive modeling using appropriate methodologies.
  • Design, implement, and maintain analytical frameworks for research projects.
  • Build forecasting models and evaluate model performance through backtesting and validation techniques.
  • Prepare research reports, visualizations, and presentations that communicate analytical findings effectively.
  • Collaborate with stakeholders to understand business objectives and translate them into quantitative research initiatives.
  • Monitor market, financial, and economic data to identify emerging trends and opportunities.
  • Perform data mining, feature engineering, and exploratory data analysis to improve model performance.
  • Develop automated analytical workflows and improve research efficiency through programming and data processing tools.
  • Ensure data quality, consistency, and integrity throughout the research process.
  • Document methodologies, assumptions, and analytical procedures to support transparency and reproducibility.

Qualifications

  • Bachelor's degree in Mathematics, Statistics, Economics, Finance, Data Science, Computer Science, Engineering, or a related quantitative discipline.
  • Strong knowledge of probability, statistics, linear algebra, and quantitative analysis techniques.
  • Proficiency in programming languages such as Python, R, SQL, MATLAB, or similar analytical tools.
  • Familiarity with statistical modeling, predictive analytics, machine learning, and data visualization techniques.
  • Ability to manipulate and analyze large datasets efficiently using modern analytical software.
  • Understanding of research methodology, experimental design, and model validation principles.
  • Knowledge of database concepts and data management practices.
  • Strong analytical thinking, problem solving, and critical reasoning skills.
  • Excellent attention to detail and commitment to producing accurate, high quality analytical results.
  • Ability to communicate complex quantitative concepts clearly to both technical and non technical audiences.
  • Proficiency with spreadsheet applications and data visualization platforms.
  • Strong organizational and project management skills with the ability to manage multiple research initiatives.

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