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

KRIs and proactive risk management workshop: oversight and readiness for CPS 230 compliance | August 6

In this highly interactive training course, participants will explore the leading practices to adopting a proactive approach to risk management and managing KRIs.

The course will guide participants through key sessions that will provide a holistic perspective of op risk management processes. Then, participants will gain valuable insights into effectively integrating KRIs, KCIs and KPIs into an organisation’s risk management practices. Finally, participants will learn the best practices to operate smoothly in a CPS230 environment.

Tutor: Frankie Liu, Experienced risk professional in financial services

Key reasons to attend:

  • Learn how to improve existing key risk indicators (KRIs)
  • Identify relevant indicators for different risk types
  • Manage risks from the new asset class: cryptocurrency

Course agenda

  • Setting the context: operational risk management processes
  • Deep diving into KRIs
  • Mapping it all together
  • Risk analysis technique
  • Uses of KRIs across an organisation
  • The role of technology in KRIs
  • Challenges and emerging themes in KRIs
  • Operating in a CPS 230 landscape
  • Course exercise

Who should attend?

Relevant departments may include but are not limited to:

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

Credit risk model workshop | August 8

Join us for the in-person learning event, which will provide valuable insights into credit risk model management.

Participants will learn how to validate credit risk models by deep diving into the five pillars of model validation, models and future expectations. Participants will also explore how to stress test credit risk portfolios by studying sensitivity analysis, model design and managing portfolios in the stages of an economic cycle.

Key reasons to attend:

  • Discuss use cases of artificial intelligence (AI) for credit risk modelling
  • Improve model accuracy and efficiency
  • Maintain the success of a model validation framework

Course agenda

  • Credit risk modelling: part I
  • Credit risk modelling: part II
  • Integrating climate risks into credit risk modelling
  • The role of AI and machine learning in credit risk modelling
  • Credit risk model validation
  • Stress-testing credit risk portfolios
  • Case study

Who should attend?

Relevant departments may include but are not limited to:

  • Credit risk
  • Risk modelling
  • Risk management
  • Model risk management
  • Climate risk
  • Machine learning
  • Artificial intelligence
  • Stress-testing
  • Credit risk
  • Counterparty credit risk
  • Treasury
  • Regulators
  • Risk consultant

Operational risk management workshop: thriving in a CPS 230 landscape | August 8

Join us for this in-person workshop to learn the best practices of managing op risk by creating effective op risk frameworks while taking into consideration key factors from the Prudential Standard CPS 230 Operational Risk Management.

Key sessions encompassing the metrics of risk drivers, op risk governance frameworks and insights into measuring op risk will allow participants to enhance their understanding of op risk management. Participants will navigate the topical challenges and emerging themes such as cyber, geopolitical and artificial intelligence risks.

Tutor: Frankie Liu, experienced financial services risk professional

Key reasons to attend:

  • Understand risk appetite, tolerance and culture
  • Develop compliance capabilities to enhance efficiency
  • Identify best practices to manage vendor risk management

Course agenda

  • Managing operational risk
  • Risk appetite and risk tolerance
  • Measurement and analysis of op risk
  • Highlights of the regulatory landscape
  • Op risk losses and scenario analysis
  • Technologies and forthcoming challenges within op risk management
  • Course exercise

Who should attend?

Relevant departments may include but are not limited to:

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

Cliftons Sydney

L13, 60 Margaret St, Sydney NSW 2000
See directions

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