Course in Climate Risk Models Applied to Insurance
Online course of 300 h in climate risk models applied to insurance. 6 modules with TCFD Recommendations, IFRS S2 (climate-related disclosures) and CLIMADA. Assigned tutor and open enrolment.
Take the controls.
Run a real engineering trade-off from this field. Move the sliders, watch the model react in real time and beat the challenge.
What you will be able to do
Explain the transmission channels of climate risk to insurance.
Interpret reference climate scenarios, such as those of the NGFS.
Translate climate variables into insured losses.
Integrate climate risk into pricing, underwriting and investments.
Carry out climate stress tests and scenario analysis.
Prepare climate disclosures in line with reporting frameworks.
Develop an integrative project on climate risk assessment.
Who it's for
- Climate risk analyst wishing to specialise in Climate Risk Models Applied to Insurance.
- Sustainability actuary wishing to specialise in Climate Risk Models Applied to Insurance.
- Catastrophe modeller wishing to specialise in Climate Risk Models Applied to Insurance.
- ESG risk manager wishing to specialise in Climate Risk Models Applied to Insurance.
- Climate reporting consultant wishing to specialise in Climate Risk Models Applied to Insurance.
- Stress testing analyst wishing to specialise in Climate Risk Models Applied to Insurance.
- Engineering or science graduates seeking to join insurance companies.
What you'll work with
- TCFD Recommendations
- IFRS S2 (climate-related disclosures)
- Directive (EU) 2022/2464 (CSRD)
- Regulation (EU) 2020/852 (Taxonomy)
- NGFS climate scenarios
- EIOPA Opinion on climate change scenarios in the ORSA (2021)
6 modules · 300 h
1.1Acute and chronic physical risks1.2Transition and liability risks1.3Time horizon versus the annual policy1.4Tragedy of the horizon1.5Supervisory expectations1.6Impact by line of business1.7Sector vocabulary and acronyms1.8Key scientific sources1.9Uncertainty and its communication1.10Exercise: climate risk map of an entity
2.1Emission pathways and scenarios2.2Global and regional climate models2.3Downscaling and its uncertainty2.4Temperature and precipitation projections2.5Changes in extreme events2.6Sea level and coastal areas2.7Economic transition scenarios2.8Analysis horizons2.9Limitations of scenarios2.10Practice: selecting scenarios for an analysis
3.1Impact chain: hazard, exposure and vulnerability3.2Adjusting catastrophe models3.3Effect on frequency and severity3.4Change in portfolio exposure3.5Claims inflation risk3.6Unmodelled risks3.7Analysis by region and line of business3.8Validation against observed trends3.9Propagation of uncertainty3.10Practice: adjusting a model by scenario
4.1Underwriting and risk selection4.2Pricing and its review4.3Product design and prevention4.4Reinsurance decisions4.5Investment portfolio management4.6Insurability and market withdrawal from areas4.7Dialogue with clients in transition4.8Entity objectives and pathways4.9Climate litigation risk4.10Practice: underwriting decision with scenarios
5.1Climate risk governance5.2Integration into risk management5.3Supervisory climate stress tests5.4Own risk and solvency assessment5.5Sustainability reporting and metrics5.6Validation and documentation of the analysis5.7Reporting to the board5.8Team training5.9Evolution of regulatory expectations5.10Practice: designing a stress test
6.1Choice of portfolio and scope6.2Scenario selection6.3Physical and transition risk analysis6.4Quantification of portfolio impact6.5Proposed business decisions6.6Climate stress test6.7Governance and reporting plan6.8Monitoring indicators6.9Analysis report6.10Project defence
How you'll learn
Training 100 % online on the SEIUM campus, with downloadable material, recorded classes and assigned technical tutor. No fixed timetables: students progress at their own pace within the intake, which makes it possible to combine study with work.
Each module combines theory, guided reading of the original standard and applied exercises. The working software is CLIMADA, Copernicus Climate Data Store, Moody’s RMS, Python (xarray), R, in free, academic or evaluation versions. The exercises are based on real climate stress-testing procedures, scenario analysis in the ORSA and projection of losses from physical hazards. Assessment is continuous by module, plus the final integrative project.
Build it end to end
Your final project follows the real engineering workflow, step by step, reviewed by your tutor.
Explain the transmission channels of climate risk to insurance.
Interpret reference climate scenarios, such as those of the NGFS.
Translate climate variables into insured losses.
Integrate climate risk into pricing, underwriting and investments.
Carry out climate stress tests and scenario analysis.
Where this takes you
Requirements
- No prior degree is required.
- Internet connection and a computer capable of running the programme's software.
- Sufficient Spanish to follow the reading of technical regulations.
Ready to start?
Send your application today. Our admissions team replies within 72 hours with your study plan and funding options.
Frequently asked questions
The programme totals 300 hours, spread over 3 to 5 months. That is between 10 and 15 hours per week on average, compatible with full-time work.
Work is carried out with CLIMADA, Copernicus Climate Data Store, Moody’s RMS, Python (xarray), R. Free, academic or evaluation versions are used, and the tutor indicates the free alternative where one exists.
A SEIUM own diploma upon passing the continuous assessment and the integrative project. It is in-house training, not an official Ministry qualification.
Yes. Modules passed in a course or postgraduate diploma in the same area are credited towards the higher programme. Check the credit transfer policy when you enrol.
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