Sustainability and Climate Risk Management<\/b><\/h4>\n<\/div><\/div><\/div><\/div><\/div><\/div>\nFacilitator: Carlos Laroze<\/strong><\/h4>\n<\/div><\/div><\/div><\/div><\/div><\/div>\nSpecialist in Integrated Risk Management in Chile\u2019s Financial System.<\/em><\/p>\n![\"\"](\"https:\/\/i0.wp.com\/gestionderiesgo.org\/wp-content\/uploads\/2026\/01\/WhatsApp-Image-2026-01-19-at-11.10.05.jpeg?resize=227%2C300&ssl=1\")
Business Administration professional with postgraduate studies in Statistics, with more than 15 years of successful experience in Banking and the Financial Sector, leading strategic areas such as Business Intelligence, Credit Risk & Portfolio Management, Management Control, Analytics, Regulatory Risk and Sustainable Finance.<\/span><\/p>\nThroughout his career he has played a key role in implementing IFRS 9 and Basel III at various financial institutions, as well as in developing advanced risk and credit management models. In recent years he has led multiple projects focused on integrating ESG factors into credit management, contributing to the evolution of sustainable practices within the financial sector.<\/span><\/p>\nHe has solid experience in administering and managing high-volume credit portfolios, with an approach based on financial analysis, statistical modeling, data management and advanced analytics for strategic decision-making. He is also a member of GARP (Global Association of Risk Professionals) and holds the Sustainability and Credit Risk (SCR) certification, one of the most prestigious in the world at the intersection of sustainability and credit risk. <\/span><\/p>\nIn the academic field, he has been an active speaker at high-level international seminars, teaching courses and giving lectures on topics such as Portfolio Management, Asset Allocation, Econometrics and ESG Investments, among others. His commitment to training and knowledge development has led him to collaborate with various specialized institutions and forums, consolidating his reputation as an expert in risk management and sustainable finance.<\/span><\/p>\n\n\nProgram Objective<\/strong><\/p>\nProvide participants with a comprehensive, strategic and applied understanding of climate risk, combining international frameworks (ISSB, TCFD, taxonomies), <\/span>quantitative methodologies, portfolio analysis tools, forward-looking modeling, <\/span>scenario analysis and emerging technologies (including AI), in order <\/span>to strengthen decision-making, financial resilience and corporate sustainability <\/span>in the face of increasingly uncertain climate scenarios.<\/span><\/p>\nProgram Content<\/b><\/h4>\n
Module 1: Strategic Foundations of Climate Change and Sustainability (4 hours)<\/span><\/strong><\/p>\n\n\n\n\n\n- Global and scientific context of climate change: Historical evolution, impacts and projections.<\/span><\/li>\n
- Sustainability: Definition, conceptual evolution, international agreements and global commitments.<\/span><\/li>\n
- Sustainable development goals: Link to corporate strategies and <\/span>national policies.<\/span><\/li>\n
- Net Zero and NDCs: Decarbonization pathways, critical sectors and challenges <\/span>in the transition.<\/span><\/li>\n
- Role of the Financial System in climate mitigation and adaptation<\/span><\/li>\n
- Sustainable finance: Markets, products and instruments.<\/span><\/li>\n
- Climate Risks: Physical and transition. Transmission channels to <\/span>financial risks.<\/span><\/li>\n
- ESG risk management: identification of impacts, risks and <\/span>financial opportunities<\/span><\/li>\n<\/ul>\n
Module 2: Quantitative Climate Risk Assessment and Management (5 hours)<\/span><\/strong><\/p>\n\n- Climate risk assessment in credit and investment portfolios: counterparties, economic sectors and collateral<\/li>\n
- Components of climate risk: Hazard, exposure, vulnerability. Detection and measurement.<\/li>\n
- Measuring financed emissions (scopes 1, 2 and 3)<\/li>\n
- Climate risk appetite and tolerance: Definition, indicators and internal limits.<\/li>\n
- Integrating climate risk into the credit and operational risk cycle.<\/li>\n
- Use of sector and geographic exposure indicators in climate risk analysis.<\/li>\n
- Design of climate stress tests: Scenario selection (NGFS, IPCC). Loss modeling and estimation of financial impact.<\/li>\n
- Scenario analysis and quantitative simulations.<\/li>\n<\/ul>\n
Module 3: ISSB Standards: S1 and S2 and Regulatory Integration (5 hours)<\/span><\/strong><\/p>\n\n- International and regional regulatory landscape: TCFD, ISSB, SASB, Green Taxonomies and Transition Finance<\/li>\n
- ISSB S1 and S2: Scope, structure and requirements for climate and sustainability disclosure.<\/li>\n
- Materiality Analysis and impact measurement: Definition, criteria and practical application.<\/li>\n
- Incorporating climate risk into credit processes, portfolio management, corporate governance and strategic planning.<\/li>\n
- Physical, transition and financial risk indicators and integration into corporate decision-making.<\/li>\n
- Link to Stress Testing, provisions and economic capital.<\/li>\n
- Implementation challenges: Data traceability, methodological consistency, organizational capacity, culture and reportability.<\/li>\n<\/ul>\n
Module 4: Governance, Stakeholders and Reputational Risk (4 hours)<\/span><\/strong><\/p>\n\n- Climate Governance: Role of the board, senior management and Risk areas.<\/li>\n
- Internal reporting and responsibilities across the value chain.<\/li>\n
- Stakeholder Management under ESG criteria: Suppliers, customers,
communities, investors and regulators.<\/li>\n - Reputational risk associated with sustainability and management of climate risks and impacts.<\/li>\n
- Double materiality: Financial and social impact.<\/li>\n
- Latest trends in disclosure standards and corporate transparency.<\/li>\n<\/ul>\n
Module 5: Data, Analytics and Artificial Intelligence for Sustainability Management (2 hours)<\/strong><\/p>\n\n- Challenges in climate data management: Fragmentation, lack of
standardization, and counterparty information.<\/li>\n - Emerging technologies to improve data quality and traceability: Satellite
data, open platforms, public sources and extraction and use of unstructured
data.<\/li>\n - Use of AI for climate monitoring and alerts<\/li>\n
- Ethical, governance and explainability considerations in the use of AI for
sustainability (relationship with credit granting models).<\/li>\n - Impact of information processing on carbon emissions.
Associated challenges.<\/li>\n<\/ul>\nThe course is aimed at:<\/b><\/span><\/p>\n\n- Risk, sustainability, ESG and finance professionals.<\/li>\n
- Capital management, financial planning and quantitative methods areas.<\/li>\n
- Executives and analysts in strategic management, compliance, regulation, investor relations, among others.<\/li>\n
- Planning, audit and control teams.<\/li>\n
- Members of risk, sustainability and audit committees.<\/li>\n
- Portfolio analysts, investment funds, asset managers, Corporate and investment banking.<\/li>\n
- Consultants and experts in sustainable finance, climate transition, taxonomy and emerging risks.<\/li>\n
- Government sector professionals related to public policy, international relations, among others.<\/li>\n<\/ul>\n
Expected Results:<\/strong><\/strong><\/p>\nUpon completing the program, participants will be able to:<\/p>\n
\n- Assess and quantify climate risks in credit and investment portfolios and financial operations.<\/li>\n
- Integrate sustainability metrics and climate risks into corporate strategy and decision-making processes.<\/li>\n
- Apply stress testing, scenario and quantitative modeling methodologies to anticipate financial impacts.<\/li>\n
- Incorporate international regulations (ISSB, TCFD, green taxonomies) and regulatory best practices into risk management.<\/li>\n
- Use data and artificial intelligence tools for monitoring, prediction and mitigation of climate risks.<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div><\/div><\/div>
Facilitator: Carlos Laroze<\/strong><\/h4>\n<\/div><\/div><\/div><\/div><\/div><\/div>\nSpecialist in Integrated Risk Management in Chile\u2019s Financial System.<\/em><\/p>\nBusiness Administration professional with postgraduate studies in Statistics, with more than 15 years of successful experience in Banking and the Financial Sector, leading strategic areas such as Business Intelligence, Credit Risk & Portfolio Management, Management Control, Analytics, Regulatory Risk and Sustainable Finance.<\/span><\/p>\nThroughout his career he has played a key role in implementing IFRS 9 and Basel III at various financial institutions, as well as in developing advanced risk and credit management models. In recent years he has led multiple projects focused on integrating ESG factors into credit management, contributing to the evolution of sustainable practices within the financial sector.<\/span><\/p>\nHe has solid experience in administering and managing high-volume credit portfolios, with an approach based on financial analysis, statistical modeling, data management and advanced analytics for strategic decision-making. He is also a member of GARP (Global Association of Risk Professionals) and holds the Sustainability and Credit Risk (SCR) certification, one of the most prestigious in the world at the intersection of sustainability and credit risk. <\/span><\/p>\nIn the academic field, he has been an active speaker at high-level international seminars, teaching courses and giving lectures on topics such as Portfolio Management, Asset Allocation, Econometrics and ESG Investments, among others. His commitment to training and knowledge development has led him to collaborate with various specialized institutions and forums, consolidating his reputation as an expert in risk management and sustainable finance.<\/span><\/p>\n\n\nProgram Objective<\/strong><\/p>\nProvide participants with a comprehensive, strategic and applied understanding of climate risk, combining international frameworks (ISSB, TCFD, taxonomies), <\/span>quantitative methodologies, portfolio analysis tools, forward-looking modeling, <\/span>scenario analysis and emerging technologies (including AI), in order <\/span>to strengthen decision-making, financial resilience and corporate sustainability <\/span>in the face of increasingly uncertain climate scenarios.<\/span><\/p>\nProgram Content<\/b><\/h4>\n
Module 1: Strategic Foundations of Climate Change and Sustainability (4 hours)<\/span><\/strong><\/p>\n\n\n\n\n\n- Global and scientific context of climate change: Historical evolution, impacts and projections.<\/span><\/li>\n
- Sustainability: Definition, conceptual evolution, international agreements and global commitments.<\/span><\/li>\n
- Sustainable development goals: Link to corporate strategies and <\/span>national policies.<\/span><\/li>\n
- Net Zero and NDCs: Decarbonization pathways, critical sectors and challenges <\/span>in the transition.<\/span><\/li>\n
- Role of the Financial System in climate mitigation and adaptation<\/span><\/li>\n
- Sustainable finance: Markets, products and instruments.<\/span><\/li>\n
- Climate Risks: Physical and transition. Transmission channels to <\/span>financial risks.<\/span><\/li>\n
- ESG risk management: identification of impacts, risks and <\/span>financial opportunities<\/span><\/li>\n<\/ul>\n
Module 2: Quantitative Climate Risk Assessment and Management (5 hours)<\/span><\/strong><\/p>\n\n- Climate risk assessment in credit and investment portfolios: counterparties, economic sectors and collateral<\/li>\n
- Components of climate risk: Hazard, exposure, vulnerability. Detection and measurement.<\/li>\n
- Measuring financed emissions (scopes 1, 2 and 3)<\/li>\n
- Climate risk appetite and tolerance: Definition, indicators and internal limits.<\/li>\n
- Integrating climate risk into the credit and operational risk cycle.<\/li>\n
- Use of sector and geographic exposure indicators in climate risk analysis.<\/li>\n
- Design of climate stress tests: Scenario selection (NGFS, IPCC). Loss modeling and estimation of financial impact.<\/li>\n
- Scenario analysis and quantitative simulations.<\/li>\n<\/ul>\n
Module 3: ISSB Standards: S1 and S2 and Regulatory Integration (5 hours)<\/span><\/strong><\/p>\n\n- International and regional regulatory landscape: TCFD, ISSB, SASB, Green Taxonomies and Transition Finance<\/li>\n
- ISSB S1 and S2: Scope, structure and requirements for climate and sustainability disclosure.<\/li>\n
- Materiality Analysis and impact measurement: Definition, criteria and practical application.<\/li>\n
- Incorporating climate risk into credit processes, portfolio management, corporate governance and strategic planning.<\/li>\n
- Physical, transition and financial risk indicators and integration into corporate decision-making.<\/li>\n
- Link to Stress Testing, provisions and economic capital.<\/li>\n
- Implementation challenges: Data traceability, methodological consistency, organizational capacity, culture and reportability.<\/li>\n<\/ul>\n
Module 4: Governance, Stakeholders and Reputational Risk (4 hours)<\/span><\/strong><\/p>\n\n- Climate Governance: Role of the board, senior management and Risk areas.<\/li>\n
- Internal reporting and responsibilities across the value chain.<\/li>\n
- Stakeholder Management under ESG criteria: Suppliers, customers,
communities, investors and regulators.<\/li>\n - Reputational risk associated with sustainability and management of climate risks and impacts.<\/li>\n
- Double materiality: Financial and social impact.<\/li>\n
- Latest trends in disclosure standards and corporate transparency.<\/li>\n<\/ul>\n
Module 5: Data, Analytics and Artificial Intelligence for Sustainability Management (2 hours)<\/strong><\/p>\n\n- Challenges in climate data management: Fragmentation, lack of
standardization, and counterparty information.<\/li>\n - Emerging technologies to improve data quality and traceability: Satellite
data, open platforms, public sources and extraction and use of unstructured
data.<\/li>\n - Use of AI for climate monitoring and alerts<\/li>\n
- Ethical, governance and explainability considerations in the use of AI for
sustainability (relationship with credit granting models).<\/li>\n - Impact of information processing on carbon emissions.
Associated challenges.<\/li>\n<\/ul>\nThe course is aimed at:<\/b><\/span><\/p>\n\n- Risk, sustainability, ESG and finance professionals.<\/li>\n
- Capital management, financial planning and quantitative methods areas.<\/li>\n
- Executives and analysts in strategic management, compliance, regulation, investor relations, among others.<\/li>\n
- Planning, audit and control teams.<\/li>\n
- Members of risk, sustainability and audit committees.<\/li>\n
- Portfolio analysts, investment funds, asset managers, Corporate and investment banking.<\/li>\n
- Consultants and experts in sustainable finance, climate transition, taxonomy and emerging risks.<\/li>\n
- Government sector professionals related to public policy, international relations, among others.<\/li>\n<\/ul>\n
Expected Results:<\/strong><\/strong><\/p>\nUpon completing the program, participants will be able to:<\/p>\n
\n- Assess and quantify climate risks in credit and investment portfolios and financial operations.<\/li>\n
- Integrate sustainability metrics and climate risks into corporate strategy and decision-making processes.<\/li>\n
- Apply stress testing, scenario and quantitative modeling methodologies to anticipate financial impacts.<\/li>\n
- Incorporate international regulations (ISSB, TCFD, green taxonomies) and regulatory best practices into risk management.<\/li>\n
- Use data and artificial intelligence tools for monitoring, prediction and mitigation of climate risks.<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div><\/div><\/div>
Specialist in Integrated Risk Management in Chile\u2019s Financial System.<\/em><\/p>\n Throughout his career he has played a key role in implementing IFRS 9 and Basel III at various financial institutions, as well as in developing advanced risk and credit management models. In recent years he has led multiple projects focused on integrating ESG factors into credit management, contributing to the evolution of sustainable practices within the financial sector.<\/span><\/p>\n He has solid experience in administering and managing high-volume credit portfolios, with an approach based on financial analysis, statistical modeling, data management and advanced analytics for strategic decision-making. He is also a member of GARP (Global Association of Risk Professionals) and holds the Sustainability and Credit Risk (SCR) certification, one of the most prestigious in the world at the intersection of sustainability and credit risk. <\/span><\/p>\n In the academic field, he has been an active speaker at high-level international seminars, teaching courses and giving lectures on topics such as Portfolio Management, Asset Allocation, Econometrics and ESG Investments, among others. His commitment to training and knowledge development has led him to collaborate with various specialized institutions and forums, consolidating his reputation as an expert in risk management and sustainable finance.<\/span><\/p>\n Program Objective<\/strong><\/p>\n Provide participants with a comprehensive, strategic and applied understanding of climate risk, combining international frameworks (ISSB, TCFD, taxonomies), <\/span>quantitative methodologies, portfolio analysis tools, forward-looking modeling, <\/span>scenario analysis and emerging technologies (including AI), in order <\/span>to strengthen decision-making, financial resilience and corporate sustainability <\/span>in the face of increasingly uncertain climate scenarios.<\/span><\/p>\n Module 1: Strategic Foundations of Climate Change and Sustainability (4 hours)<\/span><\/strong><\/p>\n Module 2: Quantitative Climate Risk Assessment and Management (5 hours)<\/span><\/strong><\/p>\n Module 3: ISSB Standards: S1 and S2 and Regulatory Integration (5 hours)<\/span><\/strong><\/p>\n Module 4: Governance, Stakeholders and Reputational Risk (4 hours)<\/span><\/strong><\/p>\n Module 5: Data, Analytics and Artificial Intelligence for Sustainability Management (2 hours)<\/strong><\/p>\n The course is aimed at:<\/b><\/span><\/p>\n Expected Results:<\/strong><\/strong><\/p>\n Upon completing the program, participants will be able to:<\/p>\nBusiness Administration professional with postgraduate studies in Statistics, with more than 15 years of successful experience in Banking and the Financial Sector, leading strategic areas such as Business Intelligence, Credit Risk & Portfolio Management, Management Control, Analytics, Regulatory Risk and Sustainable Finance.<\/span><\/p>\nProgram Content<\/b><\/h4>\n
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communities, investors and regulators.<\/li>\n\n
standardization, and counterparty information.<\/li>\n
data, open platforms, public sources and extraction and use of unstructured
data.<\/li>\n
sustainability (relationship with credit granting models).<\/li>\n
Associated challenges.<\/li>\n<\/ul>\n\n
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