{
  "title": "Reflecting Digitalization in Financial Sector Statistics",
  "sourceUrl": "https://www.imf.org/en/capacity-development/training/icdtc/schedule/st/2026/rdfssst26-28",
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  "summary": "Back to top Qualifications Participants are expected to have a degree in economics/finance or equivalent experience.",
  "publishDate": "2025-11-11",
  "sections": [
    {
      "heading": "Program overview and logistics",
      "content": "- Event: Reflecting Digitalization in Financial Sector Statistics (Training Program), Session No.: ST 26.28.\n- Status: Deadline passed.\n- Location: Singapore, Singapore.\n- Date: September 21-25, 2026 (1 week).\n- Delivery Method: In-person Training.\n- Primary Language: English.\n- The five-day course is delivered by the IMF's Statistics Department."
    },
    {
      "heading": "Target audience and qualifications",
      "content": "- Target Audience:\n  - Mid-level government officials from central banks, financial services supervisors and regulators and other agencies involved in financial sector statistics.\n- Qualifications:\n  - Participants are expected to have a degree in economics/finance or equivalent experience."
    },
    {
      "heading": "Course purpose and themes",
      "content": "- Purpose:\n  - To focus on how digitalization is impacting financial sector statistics and on reflecting digitalization in statistical frameworks and data collection.\n- Major thematic emphases:\n  - The digital revolution in finance as a fundamental transformation of the financial landscape, reshaping how financial services are delivered, consumed, and managed.\n  - The challenge of accurately capturing rapidly evolving digital dynamics within traditional financial sector statistics and established methodologies.\n  - The need to update statistical methodological guidance and data collection to capture emerging instruments and market participants."
    },
    {
      "heading": "Emerging instruments and market participants highlighted",
      "content": "- Fintech companies.\n- Mobile payments.\n- Peer-to-peer lending platforms.\n- Digital currencies.\n- Crypto assets."
    },
    {
      "heading": "Methodological focus and collaborative approach",
      "content": "- Methodological focus:\n  - Discuss emerging methodologies to reflect digitalization in financial sector statistics.\n  - Explore how statistical frameworks built around traditional financial institutions (e.g., banks and insurance companies) should adapt.\n- Collaborative approach:\n  - Underscore collaborative effort between macroeconomic statisticians, regulators, policymakers, and the private sector.\n  - Explore non-traditional data sources as part of methodological innovation."
    },
    {
      "heading": "Participant engagement and learning format",
      "content": "- Expectations of participants:\n  - Participants are expected to actively contribute to presentations on country practices and exercises.\n- Learning format:\n  - Peer learning will be an essential element of the workshop."
    }
  ],
  "bullets": [
    "Event: Reflecting Digitalization in Financial Sector Statistics (Training Program), Session No.: ST 26.28.",
    "Status: Deadline passed.",
    "Location: Singapore, Singapore.",
    "Date: September 21-25, 2026 (1 week).",
    "Delivery Method: In-person Training.",
    "Primary Language: English.",
    "The five-day course is delivered by the IMF's Statistics Department.",
    "Target Audience:",
    "Qualifications:",
    "Purpose:",
    "Major thematic emphases:",
    "Fintech companies.",
    "Mobile payments.",
    "Peer-to-peer lending platforms.",
    "Digital currencies.",
    "Crypto assets.",
    "Methodological focus:",
    "Collaborative approach:",
    "Expectations of participants:",
    "Learning format:"
  ],
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  "generatedAtUtc": "2026-09-29T20:49:14.318Z"
}