Risk Live Australia Workshops

Maximise your Risk Live Australia experience by attending one of our in-depth, technical workshops in Sydney.

Gain valuable insights at these full-day training events alongside industry peers. Expand your knowledge on emerging challenges and leading practices through interactive case studies, exercises and discussions facilitated by our expert tutors.

Pricing:

Claim the super early bird rate before April 4, 2025. Ticket prices are listed in USD.

For financial institutions: $1,799 (super early bird rate - includes access to one training workshop and the conference)
For service providers: please contact us to request the pricing details

Liquidity risk management workshop | August 6

This practical workshop will provide strategies for building a robust liquidity framework by exploring the basics of liquidity – including LCR, NSFR and governance – while addressing funding and preparing for future events.

Participants will delve into liquidity stress-testing through the exploration of procedural best practices and the quantification of stress-testing variables. Sessions will analyse different facets of liquidity including intraday liquidity risk indicators and quantifying the indirect liquidity cost. Case studies covering ILAAP and funds transfer pricing curve construction will reinforce concepts discussed throughout the course.

Key reasons to attend:

  • Create and implement liquidity stress-testing procedures
  • Explore liquidity risk tolerance and monitoring tools under Basel IV
  • Discuss drivers of liquidity risk and impact of liquidity strain

Course agenda

  • Liquidity risk framework
  • Managing liquidity risk
  • Implications of Basel IV
  • Liquidity transfer pricing (LTP)
  • Liquidity stress-testing
  • Intraday liquidity risk management
  • Overview of the internal liquidity adequacy assessment process (ILAAP)
  • Contingency funding plans (CFPs)
  • Case study

Who should attend?

Relevant departments may include but are not limited to:

  • Liquidity risk
  • Liquidity management
  • Risk management
  • Stress-testing
  • ALM
  • Treasury
  • Funds transfer pricing
  • Balance sheet management
  • Interest rate risk management
  • Interest rate risk in the banking book (IRRBB)
  • Compliance

Algorithmic and quantitative trading: fundamental principles workshop | August 6

Gain a robust understanding of the diverse components, strategies and challenges of algorithmic and quantitative trading.

This highly informative learning event will provide participants with the best practices for building a trend-following strategy and for aligning the foundations of Python with quantitative trading strategies. Participants will explore the efficient ways that risk management frameworks, such as automated compliance, are being implemented in algorithmic and quantitative trading processes.

Key reasons to attend:

  • Generate ideas, develop strategies and identify opportunities
  • Learn about the existing key components in a trading platform
  • Gain a basic overview of the Python programming language

Course agenda

  • Algorithmic trading
  • Deep diving into algorithmic trading
  • Risk management frameworks for algorithmic and quantitative trading
  • Quantitative models and methods
  • Quantitative trading
  • Deep diving into quantitative trading
  • Mapping it all together

Who should attend?

Relevant departments may include but are not limited to:

  • Trading
  • Risk management
  • Machine learning
  • Model risk
  • Artificial intelligence
  • Compliance
  • Regulation
  • Technology

Key risk indicators and proactive risk management workshop: insights into CPS 230 | August 6

This highly interactive training course will explore how to adopt a proactive approach to risk management and managing KRIs.

Key sessions will provide a holistic perspective of op risk management processes, before deep-diving into how to effectively integrating KRIs, key control indicators (KCIs) and key performance indicators (KPIs) in to an organisation’s risk management practices. Combining this knowledge with practical tools, participants will use the bow-tie tool to effectively track patterns and common failures. They will also learn how to identify emerging risks using horizon scanning and machine learning techniques.

Key reasons to attend:

  • Develop the skills to design and apply key risk indicators (KRIs)
  • Explore how to identify relevant indicators for different risk types
  • Conduct a root cause analysis

Course agenda

  • Setting the context: operational risk management processes and framework
  • Preventive KRIs: a method
  • Mapping it all together
  • Risk analysis technique
  • KRIs for project risk, information risk, conduct risk and people risk
  • Issue management and machine learning for KRI identification
  • Challenges and emerging themes in KRIs and KCIs
  • The new CPS 230 requirements

Who should attend?

Relevant departments may include but are not limited to:

  • Risk management
  • Operational risk
  • Op risk modelling
  • Enterprise risk
  • Internal audit
  • Compliance
  • Governance
  • Risk technology

Credit risk model workshop | August 8

This hands-on training session provides insights into the effective management of credit risk models, focusing on the latest Basel 3.1 and IFRS 9 requirements. Participants will deepen their understanding of key estimation techniques, learn best practices in stress-testing across portfolio types and explore strategies for adapting models to economic shifts.

Through discussions on AI applications in credit risk modelling and guidance on model validation, attendees will learn to enhance model accuracy and transparency. The course also covers essential governance practices, including risk appetite, policy development and adherence to evolving regulatory standards.

Key reasons to attend:

  • Explore the impact of Basel 3.1 and International Financial Reporting Standard 9 (IFRS 9) on credit risk modelling
  • Learn how to develop a robust model validation framework
  • Discover stress-testing techniques for credit risk portfolios across diverse economic scenarios

Course agenda

  • Introduction to credit risk model management and regulatory landscape
  • Credit risk modelling developments
  • Credit risk modelling post-IFRS 9
  • Stress-testing credit risk portfolios
  • Application of AI and machine learning in credit risk modelling
  • Credit risk model validation

Who should attend?

Relevant departments may include but are not limited to:

  • Credit risk
  • Risk modelling
  • Risk management
  • Model risk management
  • Machine learning
  • stress testing

Operational risk management workshop: CPS 230 readiness | August 8

In this learning event participants will gain valuable insights into managing op risk, by learning from in-depth concepts, examples and discussions alongside industry peers and expert tutor.

Participants will gain a robust understanding of op risk by creating effective op risk frameworks and exploring the diverse implications of the three lines of defence and the significant role of governance.
Participants will navigate the topical challenges and emerging themes like cyber risks and regulatory compliance.

Key reasons to attend:

  • Develop effective risk appetite statements
  • Identify best practices to manage third-party risks
  • Understand risk appetite, tolerance and culture

Course agenda

  • Introduction to operational risk management
  • Risk appetite and risk tolerance
  • Measurement and analysis of operational risk
  • Current local regulatory landscape
  • Aligning cyber risk and third-party risk with op risk management
  • Challenges and emerging themes in op risk

Who should attend?

Relevant departments may include but are not limited to:

  • Operational risk
  • Enterprise risk
  • Compliance
  • Governance
  • Audit
  • Cyber security
  • Operational resilience
  • Third-party risk

What our past delegates say:

The course was helpful to break down complex topics and make it understandable
Catered to different backgrounds of the participants
Highly recommended course for bankers, supervisors and issuers
Great practice learning and simulation experiments