Job offer: Senior Manager - Econometric Forecasting and Modelling


Announced
19/09/20243 month(s) ago
Job Status
Full Time
Job Type
Employee
Expiration Date
19/01/2025 57 days left
Job Category
Reference Number
JN-052024-6440155
Job Title
Senior Manager - Econometric Forecasting and Modelling
Job Presentation

Our client, a leading giga-project in KSA, is a groundbreaking vision of the future, an ambitious project poised to revolutionize the way we live, work, and interact. Situated near Tabuk, KSA, they aims to become a beacon of innovation, sustainability, and prosperity on a global scale.


Senior Manager - Econometric Forecasting and Modelling - Public Sector and Government - Tabuk

  • Develop and maintain advanced econometric forecasting models to predict market trends, consumer behaviour, and business performance.
  • Utilize statistical techniques, machine learning algorithms, and other quantitative methods to analyze large data-sets and derive actionable insights.
  • Collaborate with internal stakeholders to understand business objectives, identify key drivers, and translate business requirements into quantitative models.
  • Conduct thorough analyses to assess the accuracy and reliability of forecasting models, and continuously refine methodologies to improve forecast accuracy.
  • Present findings and recommendations to senior leadership and other stakeholders in a clear and concise manner.
  • Stay abreast of industry trends, best practices, and emerging technologies in econometric modelling and forecasting.

Senior Manager - Econometric Forecasting and Modelling - Public Sector and Government - Tabuk

  • Ideally holding a Master's or Ph.D. degree in Economics, Statistics, Mathematics, or a related field.
  • Proven experience in econometric modelling, forecasting, and quantitative analysis
  • Proficiency in statistical software such as R, Python, or SAS, as well as experience working with large data-sets and databases.
  • Strong quantitative and analytical skills, with the ability to interpret complex data-sets and draw meaningful conclusions.
  • Excellent communication skills, with the ability to convey technical information to non-technical audiences effectively.
  • Ability to work both independently and collaboratively in a fast-paced, multidisciplinary environment.
  • Fluency in English; proficiency in Arabic is a plus but not required

How to Apply

Kindly use the following link to apply for this job:
JOB BY
Michael Page
Office No.202, Al Fattan Currency House Tower -1, Dubai International Financial Centre (DIFC), PO Box 506702 Dubai, United Arab Emirates
  +971 4 709 0300

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