Senior Computational Economics & Data Platform Architect

International Monetary Fund; Washington; On-site; USD 140,000 - 200,000; Full time

Job summary

International Monetary Fund in Washington, DC seeks a Computational Economics Expert to deliver advanced quantitative solutions across data, econometric, and ML modeling. You will develop scalable data pipelines, optimize algorithms, and translate research into practical capabilities for surveillance, lending, and capacity development.

The role emphasizes collaboration with business and technical partners, creating reusable tools, and training materials for diverse audiences.

Qualifications

• Advanced degree in CS, Economics, Engineering, or maths with >=4 years post-grad experience.
• Strong data engineering and scalable data pipeline experience.
• Knowledge of econometrics, ML, and numerical optimization techniques.
• Excellent communication and ability to work with diverse teams.

Responsibilities

• Define requirements with stakeholders and develop quantitative modeling solutions.
• Research algorithms and reusable analytical tools for complex challenges.
• Design and maintain scalable data pipelines and data platforms.
• Improve algorithms for performance, reliability, and reproducibility.
• Develop documentation, tutorials, and training materials.

Skills

Data engineering

Numerical optimization

Econometrics

Machine learning

Programming

Communication

Problem solving

Data pipelines

Education

Advanced degree in Computer Science, Economics, Engineering, Applied Mathematics, or relevant field

Bachelor’s degree

Tools

Cloud data platforms

Job description

International Monetary Fund in Washington, DC seeks a Computational Economics Expert to deliver advanced quantitative solutions across data, econometric, and ML modeling. You will develop scalable data pipelines, optimize algorithms, and translate research into practical capabilities for surveillance, lending, and capacity development.

The role emphasizes collaboration with business and technical partners, creating reusable tools, and training materials for diverse audiences.