Course in Technical Reserves Applied to Mobility
Online 300 h course in technical reserves applied to mobility. 6 modules covering Directive 2009/138/EC (Solvency II), Delegated Regulation (EU) 2015/35 and R (ChainLadder). 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 technical reserves specific to mobility lines of business.
Apply chain ladder, Bornhuetter-Ferguson and Cape Cod.
Adjust estimates for inflation and for changes in portfolio or claims-handling criteria.
Quantify uncertainty with stochastic methods such as Mack and bootstrap.
Adapt methods to new forms of mobility with limited history.
Integrate reserves into Solvency II and IFRS 17.
Prepare a reserving report with conclusions for management.
Who it's for
- Reserving actuary wishing to specialise in technical reserves applied to mobility.
- Actuarial function manager wishing to specialise in technical reserves applied to mobility.
- Technical provisions analyst wishing to specialise in technical reserves applied to mobility.
- Actuarial auditor wishing to specialise in technical reserves applied to mobility.
- Actuarial consultant wishing to specialise in technical reserves applied to mobility.
- IFRS 17 reporting analyst wishing to specialise in technical reserves applied to mobility.
- Graduates in engineering or sciences seeking to join motor insurers.
What you'll work with
- Directive 2009/138/EC (Solvency II)
- Delegated Regulation (EU) 2015/35
- IFRS 17 (insurance contracts)
- Royal Decree 1060/2015 (ROSSEAR)
- EIOPA Guidelines on the valuation of technical provisions
- ASOP No. 43 (estimation of outstanding claims)
6 modules · 300 h
1.1Types of provision: unearned premiums, claims and expenses1.2Claims pending notification and pending settlement1.3Long tail of bodily injury versus short tail of property damage1.4Separation by cover: own damage, third party and injuries1.5Effect of litigation on development1.6Reopenings and periodic payments1.7Required data: payments, case reserves and number of claims1.8Relevant dates and origin periods1.9Reconciliation with accounting and with year-end close1.10Workshop: building triangles from raw data
2.1Cumulative paid triangle and development factors2.2Chain ladder: assumptions and calculation2.3Factor selection and tail factor2.4Bornhuetter-Ferguson method2.5Average cost and claim count methods2.6Cape Cod method2.7Comparison of methods on the same triangle2.8Diagnostics: residuals and signals of pattern change2.9Adjustment for changes in claims management2.10Practice: estimating the provision using three methods
3.1Inflation in bodily injury and repair claims3.2Changes in the bodily injury valuation scale3.3Changes in portfolio mix and covers3.4Effect of a sales campaign on the triangle3.5Changes in claims-handling speed3.6Separation of peak claims and their treatment3.7Reinsurance: gross and net triangles3.8Recoveries and their treatment in the provision3.9Adjusting data before applying the method3.10Practice: correcting a triangle for inflation
4.1Mack model and prediction error4.2Regression models on the triangle4.3Bootstrapping the triangle and distribution of the provision4.4Bayesian models and use of prior information4.5One-year and ultimate reserve risk4.6Aggregation of uncertainty across covers4.7Retrospective validation of estimates4.8Presenting the range, not only the central point4.9Comparison of stochastic methods4.10Practice: distribution of the provision by bootstrap
5.1Young portfolios without sufficient history5.2Micromobility: high frequency and low severity with serious cases5.3Shared mobility and claim attribution5.4Fleets and high-usage vehicles5.5Autonomous vehicles and changes in the claims pattern5.6Use of market references when own data is lacking5.7Credibility between own portfolio and sector reference5.8Monthly monitoring of new portfolios5.9Early signals of provision deviation5.10Practice: provisioning a micromobility portfolio
6.1Actuarial function and its responsibility for provisions6.2Best estimate and risk margin6.3Documentation of the calculation and of applied judgements6.4Independent validation and audit6.5Reporting to the supervisor and the board6.6Analysis of prior-year development6.7Communicating uncertainty to management6.8Calculation automation and version control6.9Common errors in provision calculation6.10Final project: complete provisions report for a portfolio
How you'll learn
Fully 100 % online training on the SEIUM campus, with downloadable material, recorded classes and an assigned technical tutor. No fixed timetable: 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 R (ChainLadder), ResQ (WTW), Arius (Milliman), Python (NumPy), advanced Excel, in free, academic or evaluation versions. Case studies use real reserve calculation procedures with chain ladder and Bornhuetter-Ferguson, and bootstrapping of motor reserve uncertainty. Assessment is continuous by module, plus the final integrating project.
Build it end to end
Your final project follows the real engineering workflow, step by step, reviewed by your tutor.
Explain the technical reserves specific to mobility lines of business.
Apply chain ladder, Bornhuetter-Ferguson and Cape Cod.
Adjust estimates for inflation and for changes in portfolio or claims-handling criteria.
Quantify uncertainty with stochastic methods such as Mack and bootstrap.
Adapt methods to new forms of mobility with limited history.
Where this takes you
Requirements
- No prior qualification required.
- Internet connection and a computer capable of running the programme's software.
- Sufficient command of Spanish to follow technical regulatory texts.
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 a full-time job.
Work is carried out with R (ChainLadder), ResQ (WTW), Arius (Milliman), Python (NumPy), advanced Excel. Free, academic or evaluation versions are used, and the tutor indicates the open-source alternative where one exists.
SEIUM's own diploma upon passing the continuous assessment and the integrating project. It is in-house training, not an official qualification from the Ministry.
Yes. Modules passed in a course or postgraduate diploma in the same area are credited towards the advanced programme. Check the credit transfer policy when you enrol.
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