[IMF] Computational Economics Expert/Sr. Computational Economics Expert-ITDDPDS
Ente: IMF - International Monetary Fund
Scadenza: 2026-09-05
Paese: INTL
Descrizione
Computational Economics Expert/Sr. Computational Economics Expert-ITDDPDS Provide advanced quantitative solutions in computational economics. IMF - International Monetary Fund Open positions at IMF Washington D.C. ( United States of America ) Show advice for this position Open application form Overview Provide advanced quantitative solutions in computational economics. You have: Advanced degree in Computer Science, Economics, Engineering, Applied Mathematics, or relevant field. Minimum of four (4) years of post-graduation professional experience, or a bachelor’s degree plus a minimum of ten (10) years of post-graduation professional experience. Deep expertise in data engineering and architecture. Strong understanding of mathematical, numerical, and optimization methods. Knowledge of econometric methods and economic models. Knowledge of machine learning and statistical learning methods. Proficiency in scientific computing and programming languages. Demonstrated ability to define and solve complex problems under uncertainty. Strong communication skills. Ability to develop effective knowledge-sharing materials. Fast-track your UN career: Let the AI Application Assistant tailor your applications to catch recruiters' attention. AI Application Assistant Details Work for the IMF. Work for the World. Under the direction of the Section Chief (Data Science Section) in the IT Department at the IMF, the Computational Economics Expert provides Fund-wide advanced quantitative solutions that combine computational economics, econometric and machine learning modeling, and modern data engineering. The position works with business and technical partners to understand and solve complex problems supporting the Fund’s business capabilities of surveillance, lending, and capacity development. The role designs and implements integrated solutions across the economic, quantitative, computational, and data dimensions. Responsibilities include developing economic and econometric models; creating reliable, scalable data pipelines and data platforms; improving algorithms and computational performance; enabling reproducible analytical workflows; and translating emerging research and technologies into practical capabilities. The position also develops sample applications, internal libraries, tutorials, presentations, course materials, and training for technical and non-technical audiences. Major Duties and Responsibilities Collaborate with business and technical stakeholders to define requirements, identify appropriate data and analytical approaches, and develop, implement, validate, and maintain quantitative, statistical, machine learning, and economic modeling solutions that address business and research needs. Research and develop methodologies, algorithms, software components, and reusable analytical tools to address complex quantitative and computational challenges and enhance the Fund’s analytical capabilities. Design, develop, and maintain scalable data pipelines, integration solutions, and data platforms that support the efficient acquisition, transformation, storage, delivery, and analysis of large-scale structured and unstructured data across diverse business and technology environments. Ensure the quality, reliability, and operational efficiency of data services by analyzing and resolving data issues, integrating data from multiple sources, optimizing data delivery processes, and implementing automation and other continuous improvements. Develop, and optimize algorithms, computational models, and software solutions that enhance analytical capabilities, performance, scalability, and reproducibility, utilizing appropriate programming languages, tools, and modern software engineering practices. Develop and maintain shared analytical platforms, reusable software components, and computational environments, while promoting standards, governance, and best practices that support efficient, reliable, and scalable data and analytical workflows. Monitor developments in data science, machine learning, computational methods, and related fields; evaluate emerging technologies and methodologies; and provide expert guidance on analytical, computational, and data architecture challenges to support Fund business needs. Develop technical documentation, sample applications, tutorials, presentations, and training materials, and communicate complex technical concepts effectively to business stakeholders, technical teams, and other audiences. Minimum Qualifications Advanced degree in Computer Science, Economics, Engineering, Applied Mathematics, or relevant field plus a minimum of four (4) years of post-graduation professional experience, or a bachelor’s degree plus a minimum of ten (10) years of post-graduation professional experience is required. Additionally, the below competencies are required for this role: Deep expertise in data engineering and architecture, with extensive experience designing, building, and managing scalable data pipelines, int
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