International Monetary Fund interview prep, start to offer.

Educational development, typically acquired through the completion of a university degree in programming/systems, computer science, data science, statistics, finance, mathematics, economics, or a related field of study, is required.

Alternatively, a minimum of two (2) years of experience in a related position at Grade A5, or equivalent, is required.

Relevant professional experience in information management, business operations, resource management, data analysis, project management, or governance coordination, preferably within the Fund or a comparable international organization.

Educational development, typically acquired by the completion of an advanced university degree, or equivalent, in business, accounting, economics, finance, information technology, law, communications, organizational development, or a related field, or a professional certification either as an Accountant (CPA or international equivalent) or as an Auditor (CIA or CISA), supplemented by a minimum of four (4) years of relevant work experience, is required.

Alternatively, a minimum of two (2) years of experience in a related position at Grade A10, or equivalent, is required.

Professional skepticism and curiosity to review business processes and identify underlying risks.

Candidates will have a relevant academic background, including ideally an advanced degree in law, economics, finance, international relations, business administration, governance, financial sector issues or a related field.

Candidates should possess a deep understanding and practice of financial integrity and AML/CFT issues and architecture at an international level, and a solid knowledge of Fund policies related to surveillance, conditionality and CD.

Familiarity with AML/CFT related topics such as correspondent banking pressures, FinTech and virtual assets, transparency of beneficial ownership, illicit financial flows, governance and anti‑corruption, and assessing risks (including gathering, using, and interpreting data) would be an advantage.