International Monetary Fund
Computational Economics Expert/Sr. Computational Economics Expert-ITDDEEM
International Monetary Fund, Olympia, Washington, United States
Computational Economics Expert/Sr. Computational Economics Expert-ITDDEEM page is loaded## Computational Economics Expert/Sr. Computational Economics Expert-ITDDEEMlocations:
USA, Washington DCtime type:
Full timeposted on:
Posted Yesterdaytime left to apply:
End Date: January 6, 2026 (20 days left to apply)job requisition id:
25-R8724Work for the IMF. Work for the World. Job Summary
Under the direction of a Section Chief, the Computational Economics Expert serves as a member of the Econometric Modeling, Big Data, AI & ML Platforms Family, and provides Fund-wide services on Computational Economics using computer-based economic, econometric and machine learning modeling for the solution of economic problems related to the Fund’s business capabilities of surveillance, lending, and capacity development within the Information Technology Department.The role requires combinations of strong Computer Science and Economics skills to provide efficient and integrated solutions to the business, not only on the technological dimension, but also on the economic and quantitative modeling dimensions. Additionally, developing and delivering training on use of economic, econometric and machine learning modeling techniques and software, and advising on mathematical and high performance computational related problems are integral parts of the role.
This position requires advanced programming skills and knowledge of or experience with Economic and Econometric Modeling.Major Duties and Responsibilities1. Collaborates with economists, financial sector specialists, and other professionals from the line-of-business in the selection of the appropriate methods and data sets for economic and econometric modeling.
2. Develops and implements advanced economic and econometric models.
3. Undertakes research towards crafting solutions for challenges arising from economic and econometric modeling.
4. Analyzes requests, designs methodology and develops programs and modules for advanced economic and econometric models.
5. Researches, analyzes, and develops algorithms to improve the performance and extend the capabilities of economic and econometric models.
6. Writes computational and data processing programs using high-level programming languages such as Matlab, Python, R, etc.
7. Develops course materials and provides training on use of economic and econometric modeling techniques.
8. Follows up current academic research on computational economics, applied mathematics and econometrics.
9. Other responsibilities required to deliver Computational Economics solutions.Minimum QualificationsAdvanced degree in Computer Science, Economics, Engineering, Applied Mathematics, or relevant field plus a minimum of four years of post-graduation professional experience, or a Bachelor’s degree plus a minimum of ten years of post-graduation professional experience is required. Additionally, below required competencies are required for this role:
1. Economic and Econometric Modeling Expertise
•Knowledge and experience with economic and econometric models including time series, cross-section, panel data econometrics, and macroeconomic models (DSGE, HANK, ABM).
•Proficiency in quantitative modeling, statistical estimation methods (maximum likelihood, method of moments, Bayesian inference, VAR), and use of econometric/statistical software (EViews, Stata, Matlab, Julia).
•Ability to develop problem definitions, models, and constraints from informal requirements, managing ambiguity and competing objectives.
2. Mathematical, Numerical, and Optimization Methods
•Expert knowledge of numerical methods, linear algebra, large-scale mathematical programming, and algorithm development.
•Strong understanding of optimization techniques including linear, nonlinear, dynamic programming, simulation-based optimization, stochastic programming, robust optimization, and approximate dynamic programming.
•Familiarity with computational complexity theory and applied/theoretical statistical learning.
3. Advanced Programming and Computational Skills
•Advanced programming skills in scientific computing and data science languages such as Matlab, Python, and R.
•Extensive experience with distributed and parallel computing.
•Knowledge of machine learning algorithms, including deep learning.
•Understanding of personal computer architecture and memory organization.
•Ability to follow current academic research in computational economics, applied mathematics, and statistics.
•Strong oral and written communication skills and ability to convey higher level technical concepts to non-experts.This vacancy shall be filled by a 3-year Term appointment in accordance with the Fund’s new employment rules that took effect on May 1, 2015.**Department:**ITDDEEM Information Technology Department Data & Economics Economic Modeling Services Section**Hiring For:**A11, A12*The IMF is guided by the principle that the employment, classification, promotion, and assignment of staff shall be made without discrimination against any person. We welcome requests for reasonable accommodations for disabilities during the selection process. Information on how to request accommodations will be provided during the application process.*The IMF works to foster global monetary cooperation, secure financial stability, facilitate international trade, and promote high employment and sustainable economic growth. Our work on the macroeconomic benefits of challenges such as empowering women, modernizing the global trading system, and wage inequity, provides new ideas to safeguard the stability of the international monetary and financial system and addresses the world's most pressing macroeconomic and financial issues. Our 3,100 dedicated employees are leaders in their fields and collaborate to address the needs of our members and make a meaningful, positive difference to lives across the globe.This privacy notice explains how the International Monetary Fund (IMF) processes personal data collected through its recruitment portal.
The IMF collects and uses various types of personal data in the context of its recruitment process in order to take steps required prior to entering into a contract.
This may include contact details, work experience, education background, and professional qualifications.
Access to personal data is limited to authorized IMF personnel and certain third parties, such as authorized partners or service providers who act on behalf of the IMF. These may include service providers such as background check agencies, assessment vendors, and other recruitment-related partners.
If you are offered a position, your data may also be shared as necessary to comply with legal or regulatory requirements (e.g., for visa applications) or in response to lawful requests by public authorities, including law enforcement agencies.
Personal data is retained in accordance with applicable IMF retention policies.
You have rights in relation to your personal data. For more information about these rights and how to exercise them, please refer to the . #J-18808-Ljbffr
USA, Washington DCtime type:
Full timeposted on:
Posted Yesterdaytime left to apply:
End Date: January 6, 2026 (20 days left to apply)job requisition id:
25-R8724Work for the IMF. Work for the World. Job Summary
Under the direction of a Section Chief, the Computational Economics Expert serves as a member of the Econometric Modeling, Big Data, AI & ML Platforms Family, and provides Fund-wide services on Computational Economics using computer-based economic, econometric and machine learning modeling for the solution of economic problems related to the Fund’s business capabilities of surveillance, lending, and capacity development within the Information Technology Department.The role requires combinations of strong Computer Science and Economics skills to provide efficient and integrated solutions to the business, not only on the technological dimension, but also on the economic and quantitative modeling dimensions. Additionally, developing and delivering training on use of economic, econometric and machine learning modeling techniques and software, and advising on mathematical and high performance computational related problems are integral parts of the role.
This position requires advanced programming skills and knowledge of or experience with Economic and Econometric Modeling.Major Duties and Responsibilities1. Collaborates with economists, financial sector specialists, and other professionals from the line-of-business in the selection of the appropriate methods and data sets for economic and econometric modeling.
2. Develops and implements advanced economic and econometric models.
3. Undertakes research towards crafting solutions for challenges arising from economic and econometric modeling.
4. Analyzes requests, designs methodology and develops programs and modules for advanced economic and econometric models.
5. Researches, analyzes, and develops algorithms to improve the performance and extend the capabilities of economic and econometric models.
6. Writes computational and data processing programs using high-level programming languages such as Matlab, Python, R, etc.
7. Develops course materials and provides training on use of economic and econometric modeling techniques.
8. Follows up current academic research on computational economics, applied mathematics and econometrics.
9. Other responsibilities required to deliver Computational Economics solutions.Minimum QualificationsAdvanced degree in Computer Science, Economics, Engineering, Applied Mathematics, or relevant field plus a minimum of four years of post-graduation professional experience, or a Bachelor’s degree plus a minimum of ten years of post-graduation professional experience is required. Additionally, below required competencies are required for this role:
1. Economic and Econometric Modeling Expertise
•Knowledge and experience with economic and econometric models including time series, cross-section, panel data econometrics, and macroeconomic models (DSGE, HANK, ABM).
•Proficiency in quantitative modeling, statistical estimation methods (maximum likelihood, method of moments, Bayesian inference, VAR), and use of econometric/statistical software (EViews, Stata, Matlab, Julia).
•Ability to develop problem definitions, models, and constraints from informal requirements, managing ambiguity and competing objectives.
2. Mathematical, Numerical, and Optimization Methods
•Expert knowledge of numerical methods, linear algebra, large-scale mathematical programming, and algorithm development.
•Strong understanding of optimization techniques including linear, nonlinear, dynamic programming, simulation-based optimization, stochastic programming, robust optimization, and approximate dynamic programming.
•Familiarity with computational complexity theory and applied/theoretical statistical learning.
3. Advanced Programming and Computational Skills
•Advanced programming skills in scientific computing and data science languages such as Matlab, Python, and R.
•Extensive experience with distributed and parallel computing.
•Knowledge of machine learning algorithms, including deep learning.
•Understanding of personal computer architecture and memory organization.
•Ability to follow current academic research in computational economics, applied mathematics, and statistics.
•Strong oral and written communication skills and ability to convey higher level technical concepts to non-experts.This vacancy shall be filled by a 3-year Term appointment in accordance with the Fund’s new employment rules that took effect on May 1, 2015.**Department:**ITDDEEM Information Technology Department Data & Economics Economic Modeling Services Section**Hiring For:**A11, A12*The IMF is guided by the principle that the employment, classification, promotion, and assignment of staff shall be made without discrimination against any person. We welcome requests for reasonable accommodations for disabilities during the selection process. Information on how to request accommodations will be provided during the application process.*The IMF works to foster global monetary cooperation, secure financial stability, facilitate international trade, and promote high employment and sustainable economic growth. Our work on the macroeconomic benefits of challenges such as empowering women, modernizing the global trading system, and wage inequity, provides new ideas to safeguard the stability of the international monetary and financial system and addresses the world's most pressing macroeconomic and financial issues. Our 3,100 dedicated employees are leaders in their fields and collaborate to address the needs of our members and make a meaningful, positive difference to lives across the globe.This privacy notice explains how the International Monetary Fund (IMF) processes personal data collected through its recruitment portal.
The IMF collects and uses various types of personal data in the context of its recruitment process in order to take steps required prior to entering into a contract.
This may include contact details, work experience, education background, and professional qualifications.
Access to personal data is limited to authorized IMF personnel and certain third parties, such as authorized partners or service providers who act on behalf of the IMF. These may include service providers such as background check agencies, assessment vendors, and other recruitment-related partners.
If you are offered a position, your data may also be shared as necessary to comply with legal or regulatory requirements (e.g., for visa applications) or in response to lawful requests by public authorities, including law enforcement agencies.
Personal data is retained in accordance with applicable IMF retention policies.
You have rights in relation to your personal data. For more information about these rights and how to exercise them, please refer to the . #J-18808-Ljbffr