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.
Analyze Financial Risk Using AI, Markets, and Governance
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Analyze Financial Risk Using AI, Markets, and Governance
This course is part of Apply Financial Risk, Capital & Governance Analytics Specialization
Instructor: EDUCBA
Included with
Gain insight into a topic and learn the fundamentals.
Intermediate level
Recommended experience
2 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
Evaluate funding stress, systemic vulnerabilities, and enterprise-wide risk interactions.
Assess AI/ML applications, climate risk, and reference-rate exposures in modern risk analysis.
Apply governance, culture, and structural frameworks to support resilient financial decision-making.
Skills you'll gain
Details to know
Shareable certificate
Add to your LinkedIn profile
Recently updated!
January 2026
Assessments
26 assignments
Taught in English
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This course is part of the Apply Financial Risk, Capital & Governance Analytics Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 7 modules in this course
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.
What's included
6 videos3 assignments
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.
What's included
8 videos4 assignments
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.
What's included
7 videos3 assignments
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.
What's included
8 videos4 assignments
This module addresses climate-related financial risks and digital financial innovations, examining climate risk drivers, transmission channels, digital money, and central bank digital currencies.
What's included
11 videos4 assignments
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.
What's included
12 videos4 assignments
This module examines risk culture, conduct risk, organizational structure, and risk measurement tools that support ethical behavior, accountability, and long-term institutional resilience.
What's included
13 videos4 assignments
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