HomeUAEAbu DhabiKnowledge Analyst – Econometrics

Knowledge Analyst – Econometrics

Company Name: McKinsey & Company
Employment Type:Full Time
Location: Abu Dhabi or Dubai
Experience: 2+ years
Degree: Bachelor
Gender:Any
Age:Any  
Nationality: Any
Salary:Unspecified
No. Of Vacancies:1
Job Description:
WHO YOU’LL WORK WITH
You will be based in our Abu Dhabi or Dubai office, as part of the Middle East Client Capabilities Hub.

You will work with clients, consultants and internal teams to analyze large quantities of data, build models and create tools that help clients identify emerging economic trends, and develop insights to guide decision-making. This role will also involve collaboration with leading international experts, including the McKinsey Global Institute – McKinsey’s internal economics think-tank.

WHAT YOU’LL DO
You will be responsible for the entire analytical process, from outlining the type of solution through to implementation, interpretation of results and transferring of capabilities to the client or McKinsey colleagues.

In this role, you will develop strong problem-solving and consulting skills, building deep expertise within the economic development and macroeconomic modelling space. You will have the opportunity to broaden your exposure across the full range of capability areas within the team, such as macroeconomic modeling, international trade and investment, industry analytics, economic development and urbanization, among others.

Working on client projects and exchanging experiences with your colleagues means you will face new intellectual challenges on a daily basis, while continuously building your methodological knowledge and skills.

QUALIFICATIONS
Undergraduate or advanced degree in economics, applied economics or an analytics field (e.g., statistics, engineering, etc.); MS or PhD is a plus
2+ years of work experience preferably with think tanks, research centers, and economic modelling departments
Demonstrated expertise in economics, applied economics, econometrics and statistics; specific knowledge or experience in development economics a plus
Sound conceptual foundation in statistics and mathematics; quantitative skills and comfort working with advanced analytical techniques is critical
Knowledge of advanced macroeconomic models, DSGE, CGE, and other econometric models  
Knowledge and practical experience in econometric applications (e.g., Eviews) and advanced analytics-oriented programming languages (e.g., Python and R) is preferred
Excellent problem solving skills, including the ability to disaggregate issues, identify root causes and recommend solutions
Ability to communicate analytical and technical content in a clear and comprehensible way
Strong verbal and written communication skills in English