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WI
Waterfront International LtdSource d’offres vérifiée

Quantitative Research Analyst

Offre en anglais

Develop and optimize real-time quantitative trading models and strategies across various asset classes. Perform statistical analysis on financial market data to generate new indicator ideas.

  • Sur place
  • Toronto, ON
  • Publié 24 mai 2026
  • 1 poste

Résumé du poste

We are currently looking for highly talented individuals with a history of exceptional academic and/or industry achievement who are interested in working in a fast paced, stimulating and dynamic environment. Primary Responsibilities: Develop, modify, optimize, test and implement real time quantitative trading models and strategies. Perform statistical analysis of historical and current financial market data. Research strategies in equities, futures, fixed income, and other asset classes. Generate new indicator ideas. Requirements: PhD or Masters in Mathematics, Statistics, Physics or Operations Research. Must possess expert level C/C++ programming skills. Incredibly strong problem solving and analytical skills. Time series analysis and statistical modeling experience. Some financial experience desired but not required. Must be a strong self-starter and able to work well independently.

Ce que vous ferez

Develop and optimize real-time quantitative trading models and strategies across various asset classes. Perform statistical analysis on financial market data to generate new indicator ideas.

Exigences

Requires a PhD or Master's degree in a quantitative field such as Mathematics, Statistics, Physics, or Operations Research. Expert-level C/C++ programming skills and experience in time series analysis are essential.

Autres compétences pertinentes

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

  • C/C++ Programming
  • Statistical Analysis
  • Quantitative Trading
  • Time Series Analysis
  • Statistical Modeling
  • Problem Solving
  • Analytical Skills
  • Financial Market Analysis

Domaines d’emploi

  • Finance & Accounting
  • Data & Analytics
  • Science & Research
  • Technology
  • Software

Renseignements supplémentaires

Formation minimale
Maîtrise
Expérience minimale
2+ ans
Langue de l’offre
anglais
Heures de travail
40 heures par semaine