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A Structured Approach to Building Predictive Key Risk Indicators and Operational Risk Appetite Masterclass

Predictive KRIs that fire before the loss event — bow-tie analysis, horizon scanning and machine learning inside a working operational risk appetite framework.

The programme

Most KRIs report history; the ones worth having predict failure. This masterclass takes a structured route to preventative indicators and an operational risk appetite with real consequences. Built in modules across the ORM landscape — framework and taxonomy, risk appetite, RCSAs, scenario analysis, KRIs, projects, IT and cyber risk, culture and conduct — it pairs the theory with working tools: bow-tie analysis to track patterns and common failures, horizon scanning and machine learning to surface emerging risks, and ESG integration into the operational risk framework. Group work and peer benchmarking run throughout, and the cohort leaves with KRIs designed, defined and wired to strategic objectives.

What you will do

Design preventative KRIs tied to strategic objectives, with defined steps for tracking and reporting them.
Run bow-tie analysis on your top exposures, to evaluate risk responses and expose common failure patterns.
Surface emerging risks early, using horizon scanning and machine learning techniques.
Rescue RCSAs that have stopped adding value, and derive decisions from them again.
Write an operational risk appetite with consequences, not a filed statement.
Extend KRIs across project, information, conduct and people risk, with issue management to match.
Fold ESG into the operational risk framework, where it belongs.

Who attends

  • Heads of operational risk and risk management
  • Credit risk, capital management and ALM professionals
  • IT, cyber security and ESG functions
  • Bank supervisors, financial controllers and investment managers

Cohorts bring together board members, executives and the rising leaders behind them — kept deliberately small, so every seat is a peer’s.

Programme agenda

Built for the decisions no textbook prepares you for

I.Framework and taxonomy
  • Framework and taxonomy for operational risk
  • ORM categories and where they interlock
  • Risk appetite as the organising principle
II.Building predictive KRIs
  • Steps to define and design preventative KRIs
  • Tracking, reporting and using KRIs as management tools
  • Machine learning for KRI identification
III.Tools that find failure
  • Bow-tie analysis of risk responses
  • Why RCSAs fail — and how to derive value
  • Scenario analysis and issue management
IV.Emerging risk, ESG and conduct
  • Horizon scanning for emerging risks
  • ESG in the operational risk framework
  • IT assessment, cyber risk, culture and conduct

Frequently asked

Who should attend the predictive KRI masterclass?

It suits heads of operational risk and risk management, credit risk, capital management and ALM professionals, IT, cyber security and ESG functions, and bank supervisors, financial controllers and investment managers. Group work and peer benchmarking run throughout, so participants gain most when they bring their own indicator sets and appetite statements to test.

What makes a KRI predictive rather than backward-looking?

Most KRIs report history; the ones worth having predict failure. The masterclass takes a structured route to preventative indicators — designed, defined and wired to strategic objectives — using bow-tie analysis to track patterns and common failures, and horizon scanning and machine learning to surface emerging risks before the loss event.

Does the programme cover more than KRIs?

Yes — it is built in modules across the full operational risk landscape: framework and taxonomy, risk appetite with real consequences, RCSAs that add value again, scenario analysis, project, IT and cyber risk, culture and conduct, and the integration of ESG into the operational risk framework.

How is the masterclass delivered, and in which languages?

BIZENIUS delivers it in English and French, and an in-house edition can be tailored to your institution’s risk taxonomy and appetite framework. Sessions run on a rolling calendar with dates confirmed on request, and fees and quotations are provided on enquiry.

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In their words

Knowledge transfer, emphasised throughout

“We worked with BIZENIUS for our Fresh Graduates Programme — they are simply amazing. Knowledge transfer and practical learning were emphasised throughout.”

Kuwait Investment Authority

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Learning is one point on the Capability Arc. Many institutions pair this programme with the advisory engagement — and automate what the framework demands.

Teams from these institutions train with BIZENIUS

  • Citi
  • Barclays
  • ExxonMobil
  • Total
  • Gazprom
  • Standard Bank
  • QNB
  • Crédit Agricole
  • Nedbank
  • Absa
  • Raiffeisen
  • Halliburton
  • Baker Hughes
  • ConocoPhillips
  • Ooredoo
  • National Bank of Kuwait
  • Kuwait Finance House
  • Bank Muscat
  • Bank Audi
  • SABB
  • Garanti BBVA
  • Ecobank
  • Arab Bank
  • National Bank of Egypt
  • ADIB
  • Access Bank
  • Afreximbank
  • Repsol
  • QNB ALAHLI
  • Stanbic Bank
  • Equity Group Holdings
  • KCB Bank
  • Lombard Odier
  • NOV
  • Weatherford
  • Subsea 7
  • Al Baraka
  • Banque Misr
  • Burgan Bank
  • Bank ABC

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