Overview

Developing a Winning Edge with Risk Analytics

Leaders need more than intuition to make effective risk decisions. They need data-driven insights that can help them assess and mitigate risks, as well as anticipate future risks long before they become a reality. To this end, risk analytics is a crucial component of any business strategy, especially in today's uncertain and volatile environment. Risk analytics can help you make informed decisions by revealing and quantifying the potential sources of risk and opportunity in your business. However, many leaders struggle to implement risk analytics effectively, as they lack clarity on how to start or what tools and methods to use. Do not let uncertainty hold you back. Get your risk analytics initiative off to a smart start with the SCHSBM’s Risk Analytics Programme.

If you want to learn how to manage your organisation's risk exposures effectively, enhance your performance, maximise your profits, and accelerate growth, this programme is for you. With this programme, you will learn how to measure, quantify, and even predict risk with more certainty than ever before. Delivered from a practitioner’s perspective on measuring various kinds of risks, this programme will strike a balance between institutional details, theoretical foundations, and practical applications of risk analytics. You will develop the skills needed to solve complex risk-related issues using simulation modeling and you will learn how to design, implement, run, and analyse simulation models using various software platforms. Additionally, you will develop the capabilities needed to interpret and communicate the results of uncertainty analyses and to question and verify the assumptions behind them before making critical decisions. Make the shift from a risk management mindset to a risk enabled performance management mentality.

Learning Objectives

The goals of the programme are to:

• Gain a clear understanding of your risk profile and appetite.
•  Review new data analytics trends and capabilities in risk management.
•  Use the power of big data, artificial intelligence and machine learning to identify trends and anticipate risk.
•  Embed data analytics and advanced analytical tools across your organisation’s risk management process.

On successful completion of the course, participants will be able to:

• Evaluate the risks associated with strategic, financial, and operational decisions.
•  Apply data analytics tools to measure and manage risk in both financial and organisational contexts.
•  Apply advanced analytical tools and techniques to mitigate risks.
•  Define Value-at-Risk (VaR) and Expected Shortfall (ES).
•  Apply scenario analysis and stress testing.
•  Formulate data-driven strategies for risk handling and mitigation.
•  Develop effective solutions that can support risk planning and drive decision making.
•  Develop a risk governance structure and culture that supports your decision-making.
•  Monitor and report on your risk performance and compliance.

Programme Curriculum

• Risk Identification
  •  Key Risk Indicators (internal and external risks)
  •  Risk Typology and Data Implications
•  Risk Assessment and Prioritisation
  •  Aligning Data to Risk Profiles and Indicators
  •  Machine and Statistical Learning in Risk Analytics
  •  Common Risk Models and Analytics
  •  Building Analytical Models to Detect Potential Risks
•  Risk Response and Mitigation
  •  Risk Management, Modelling and Analytics Processes
  •  Risk Modelling Techniques for Simulating ‘What If’ Scenarios
•  Risk Monitoring
  •  Dealing with Monitoring the Risk Analytics Process
  •  Measuring the Trends and Movement of Data Parameters Linked to Risks
•  Risk Reporting
  •  Decision Making under Risk and its Analytics Support
  •  Creation of Action and Value

Programme Highlights

• Take ownership of risk-related data in your organisation and leverage it to create sustainable value
•  Use data analytics tools and techniques to extrapolate risk-related insights and calculate likely scenarios
•  Learn how to identify and predict trends to optimise risk management
•  Monitor your organisation’s performance and mitigate internal risk

Who should attend:

• Professionals working in risk and compliance, assurance and internal audit
•  Business Analysts
•  Financial Analysts
•  Banking and Financial Professionals
•  Regulators
•  Business unit Heads and Managers interested in developing a greater understanding of risk management
•  Strategy Professionals