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Coursera

Analyze Financial Risk Using AI, Markets, and Governance

EDUCBA via Coursera

Overview

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By the end of this course, learners will be able to examine funding stress and system-wide vulnerabilities, evaluate the application of artificial intelligence and machine learning in risk analysis, assess climate-related and reference-rate exposures, and apply enterprise-wide governance frameworks to real financial institutions. Participants will also interpret organizational culture, conduct standards, and structural design to support resilient decision-making. This course offers a practitioner-oriented exploration of advanced financial risk topics, integrating balance sheet coordination, intelligent analytics, market interdependencies, reference-rate transitions, environmental exposure, and organizational oversight. Through structured modules, learners investigate how modern risks originate, interact, and transmit across financial systems, and how institutions can respond through effective governance and controls. Learners gain forward-looking perspectives that extend beyond traditional analytical approaches by combining technology, policy considerations, and strategic oversight. The course’s distinguishing feature is its unified treatment of intelligent risk systems, environmental exposure, digital monetary developments, reference-rate reform, and institutional culture within a single analytical framework. Designed for experienced professionals and advanced learners, the course emphasizes applied analysis, governance judgment, and institutional resilience to support senior-level risk decision-making.

Syllabus

  • Liquidity, AI, and Emerging Risk Applications
    • This module introduces liquidity risk in modern financial markets and explores how artificial intelligence and machine learning are applied to enhance risk assessment, decision-making, and portfolio management under evolving market conditions.
  • AI Risk Systems and Governance Foundations
    • This module examines AI-specific risk systems, governance structures, and ethical considerations, focusing on risk classification, fairness, cyber risk, and systemic vulnerabilities arising from advanced technologies.
  • Systemic Crises and Market Interconnectedness
    • This module explores systemic financial crises, focusing on market interconnectedness, liquidity stress, non-bank financial institutions, and the role of policy interventions in stabilizing markets.
  • Benchmark Reform and LIBOR Transition
    • This module provides an in-depth understanding of benchmark reform, the decline of LIBOR, adoption of alternative reference rates, and the operational, legal, and risk management challenges of benchmark transition.
  • Climate Risk and Digital Financial Innovation
    • This module addresses climate-related financial risks and digital financial innovations, examining climate risk drivers, transmission channels, digital money, and central bank digital currencies.
  • Enterprise Risk Management (ERM) Frameworks
    • This module focuses on enterprise-wide risk management, covering ERM principles, leadership roles, risk appetite frameworks, and the integration of risk into strategic decision-making.
  • Risk Culture, Conduct, and Organizational Resilience
    • This module examines risk culture, conduct risk, organizational structure, and risk measurement tools that support ethical behavior, accountability, and long-term institutional resilience.

Taught by

EDUCBA

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