About the Course
Quantitative risk assessment in OHS becomes essential when you must make high-stakes decisions under uncertainty: selecting safeguards for major hazards, prioritizing interventions across sites, and defending risk-based trade-offs without relying on opinion. To deliver results you can prove, you need to demonstrate the ability to define risk scenarios, estimate frequency, estimate consequence severity, model uncertainty, and compare control options using transparent assumptions and traceable data. This is where many safety programs stall: they have incident records and inspections, but they lack a coherent measurement system that connects hazards, barriers, and outcomes.
Across five days, you will turn scattered risk data into a structured quantitative risk assessment workflow you can apply in operations, projects, maintenance, and contractor management. You will build a consistent scenario library, select appropriate probability distributions, quantify barrier performance, and run sensitivity analysis to identify the few assumptions that drive most of the risk. You will gain practical capability to: apply bowtie analysis with barrier assurance, build FTA and ETA models, calculate risk metrics (expected value, annualized loss, FN curves where appropriate), run Monte Carlo simulation in spreadsheets, use Bayesian updating to incorporate new evidence, and translate results into ALARP decisions and control investment cases. You will also learn how to design digital risk dashboards and define data quality rules so your quantitative risk assessment in OHS stays reliable over time.
This course is designed for real-world constraints: incomplete data, mixed contractor performance, changing operating conditions, and stakeholders who want a simple answer. You will practice making defensible assumptions, documenting uncertainty, and presenting options that balance safety, operational continuity, and cost. You leave with templates and a repeatable method you can embed into your risk register, management of change (MOC), and assurance processes.
Target Audience
This intermediate course is built for professionals who already manage OHS risk and now need quantitative risk assessment skills to justify controls, prioritize investments, and communicate defensible decisions to leadership and stakeholders.
This course is designed for:
- OHS Managers and Safety Leads responsible for risk registers, control programs, and assurance reporting
- EHS Advisors and Specialists responsible for hazard identification, incident learning, and control verification
- Operations Managers and Supervisors responsible for balancing production targets with safe operating limits
- Maintenance and Reliability Managers responsible for critical equipment integrity, isolation effectiveness, and barrier health
- Process Safety or Major Hazard Professionals responsible for scenario-based risk modeling and barrier management
- Risk Managers and Enterprise Risk Professionals responsible for aligning OHS risk quantification with enterprise risk criteria
- Project and Engineering Managers responsible for design risk reduction, safeguard selection, and lifecycle risk decisions
- Contractor and Third-Party Service Managers responsible for contractor risk profiling, prequalification, and performance controls
- Quality, Audit, and Compliance Officers responsible for evidence-based assurance and audit-ready risk documentation
- Anyone accountable for OHS performance who must justify risk-based decisions to executives, clients, or regulators
Course Objectives
This course equips you to plan and implement, execute and manage, and measure and report quantitative risk assessment in OHS initiatives that improve risk prioritization, strengthen compliance evidence, and support strategic investment decisions.
By the end of this course, you'll be able to:
- Define a quantitative risk assessment in OHS scope by mapping credible scenarios, boundaries, and risk acceptance criteria aligned to your risk governance
- Assess data quality and build a fit-for-purpose OHS risk data dictionary using ISO 31000 risk management principles and structured evidence rules
- Calculate frequency and consequence inputs using appropriate probability distributions and transparent assumptions for scenario-based OHS risk models
- Design bowtie analysis models that quantify barrier performance, degradation factors, and critical control effectiveness for high-consequence events
- Construct fault tree analysis (FTA) and event tree analysis (ETA) models to quantify pathways, conditional probabilities, and escalation outcomes
- Evaluate control options using cost-benefit and decision analysis techniques, including sensitivity analysis and uncertainty ranges that leaders can act on
- Set quantitative risk assessment in OHS targets, KPIs, and leading indicators that connect barrier health to risk reduction outcomes
- Synthesize results into executive-ready reporting, including ALARP reasoning, risk dashboards, and clear communication of uncertainty and assumptions
Requirements & Prerequisites
Prerequisites: You should have practical experience with OHS risk assessments (for example, using risk registers, job safety analysis, or control verification processes). Comfort with basic spreadsheet calculations is recommended.
What to bring: If permitted by your organization, bring a sanitized risk scenario (no sensitive details) and a sample of your current risk matrix or risk register fields so you can adapt the course templates to your environment.
Local Application and Business Return
How participants can apply the training in local operating conditions, and the return their organisation can plan for.
How participants apply this
Expected ROI
Training Methodology
This is a practical, outcome-driven course designed to turn OHS risk quantification aspiration into measurable action and credible reporting.
Methodology includes:
- Measurement and calculation labs using real-world frequency, consequence, and uncertainty inputs to produce defensible risk metrics
- Scenario-based simulation where you make control decisions under budget, operational, and stakeholder constraints
- A structured assessment tool to evaluate data quality, barrier integrity evidence, and model readiness before quantification
- A stakeholder evaluation framework to align risk acceptance, ALARP reasoning, and decision rights across functions
- Industry case studies and patterns from construction, manufacturing, energy, logistics, and healthcare operations
- Group strategy design exercises that produce control portfolios, verification plans, and investment cases under constraints
- Reflection prompts that challenge your current risk matrix usage, evidence standards, and reporting practices to leadership
Upcoming Sessions
Next available dates worldwide
Certification
Recognized credentials that advance your career
Participants who complete the Quantitative Risk Assessment in OHS Training Program earn a Trainingcred Certificate of Achievement, demonstrating professional competence and alignment with global standards in learning and development.
NITA Accredited
Accredited by the National Industrial Training Authority, ensuring programs meet nationally recognized standards of quality and relevance.
CPD Certified
Recognized by the CPD Certification Service, ensuring every program meets internationally benchmarked standards of professional excellence.
Why this course earns its place on your CV
Accredited training, practitioner trainers, and peers on the same career track — the three things real expertise is built on.
Data-Driven Expertise
- Master quantitative methods that transform subjective safety judgments into defensible risk scores.
- Apply probability and severity matrices used by top-tier OHS consultancies worldwide.
- Build analytical fluency to identify hidden hazard patterns others consistently overlook.
Career Advancement
- Differentiate yourself with rare quantitative skills most OHS professionals never develop.
- Qualify for senior risk analyst and safety leadership roles demanding data competence.
- Add a high-demand credential that accelerates promotions in competitive safety markets.
Practical Application
- Practice on real-world industrial case studies with immediate workplace transferability.
- Leave with ready-to-deploy risk assessment templates customized to your industry.
- Gain confidence presenting quantitative findings to executives and regulatory auditors.
Tools and platforms relevant to this field
Examples Mexico teams may encounter, and that may be featured in training where they support the confirmed course scope.
These are field-relevant examples, not a promise that every tool will be covered. Exact coverage depends on the confirmed course scope, participant needs, and delivery format.
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Microsoft Power BI MicrosoftUsed to build executive risk dashboards, trend incident metrics, and visualize control effectiveness for management review.
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SAP S/4HANA SAPUsed in larger organizations to connect maintenance, operations, and asset data that feed quantified safety and reliability analyses.
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Enablon Wolters KluwerUsed for EHS incident tracking, risk registers, and management of change workflows that support quantitative risk review.
