Quantitative Data Analyst

3 weeks ago


Abu Dhabi, Abu Dhabi, United Arab Emirates Mubadala Full time
About the Role

Mubadala is seeking a highly skilled Quantitative Analyst to join our team. As a key member of our finance department, you will be responsible for providing advanced analytics support to drive business growth and improve financial performance.

Key Responsibilities
  • Develop and Implement Advanced Analytics Solutions
    • Collaborate with cross-functional teams to identify business opportunities and develop data-driven solutions to drive growth and improve financial performance.
    • Design and implement advanced analytics models to analyze complex financial data and provide actionable insights to stakeholders.
  • Lead Advanced Analytics Initiatives
    • Develop and prioritize a roadmap for advanced analytics initiatives to drive business growth and improve financial performance.
    • Lead and manage projects to develop and implement advanced analytics solutions, ensuring timely delivery and high-quality results.
  • Build and Maintain a Strong Analytics Discipline
    • Develop and maintain a robust analytics library to enable scalability and usability of predictive models across the organization.
    • Collaborate with stakeholders to identify areas for improvement and develop strategies to enhance analytics capabilities.
Requirements
  • Advanced Degree in a Quantitative Field
    • Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related field.
  • Proven Track Record in Advanced Analytics
    • 5+ years of experience in applied data science and advanced quantitative analytics, delivering commercial impact.
  • Technical Skills
    • Proficiency in data science toolsets, including Python, R, and Jupyter Notebooks.
    • Experience with multivariate statistical modeling, including clustering, factor analysis, and time-series Bayesian methods.
    • Knowledge of machine learning techniques, including Random Forest, KNN, SVM, and regularization.
    • Experience with machine learning engineering and software development is a plus.
    • Proficiency in advanced analytics and machine learning technologies, such as SnowPark and PyTorch.
    • Data modeling expertise and experience with data modeling tools, such as Erwin.
  • Business Acumen and Communication Skills
    • Strong business domain knowledge, including understanding of portfolio reporting.
    • Excellent communication skills, with the ability to explain complex analytical concepts to non-technical stakeholders.


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