Postgraduate Diploma in Retention Strategies and Dynamic Pricing in Automotive
Online 800-hour Postgraduate Diploma in Retention Strategies and Dynamic Pricing in Automotive. 8 modules covering the EIOPA Supervisory Statement on differential pricing practices (2023), FCA PS21/5 (pricing practices in general insurance, United Kingdom) and Earnix. Dedicated tutor and enrolment open.
Postgraduate Diploma in Retention Strategies and Dynamic Pricing in Automotive — studying from the United States
Insurance and risk analysis are central to the American financial system, with major hubs in Hartford, New York, Chicago and Des Moines. Insurers, reinsurers and consulting firms rely on actuarial models, catastrophe modeling and data analytics to price risk and manage capital. Engineers with quantitative skills contribute to underwriting, claims analysis and risk assessment for sectors such as automotive, aviation and property. State insurance regulators and professional credentialing bodies shape the profession's standards.
Fees for the United States: US$1,000 (US Dollars), with instalments and employer sponsorship available.
Relevant bodies in the United States
Typical roles
Questions from the United States
Which US bodies govern actuarial and risk credentials, and is SEIUM recognized?
Actuarial credentials in the US are overseen by the Society of Actuaries and the Casualty Actuarial Society, with professional standards linked to the American Academy of Actuaries. Enrolment-based actuarial and state insurance regulators set the rules for practice. SEIUM's qualifications are private and not accredited by any national body, so recognition for professional actuarial roles is decided by employers or those bodies.
What roles in US insurance and risk management might this training support?
Typical roles include risk analyst, data scientist in insurance, reliability or catastrophe modelling specialist, and underwriting analytics. Insurers, reinsurers, brokers, and consultancies hire for these skills. Whether a private qualification carries weight depends on the employer, so reviewing job descriptions and asking hiring managers is the most reliable way to judge fit.
How is the programme delivered for someone working in US time zones?
Programmes are fully online and taught in English, with an assigned technical tutor and a final project. Because the study is asynchronous to a degree, you can often fit sessions around US working hours, though you should confirm schedule details with the institute. Instalment payment plans are available, and employer sponsorship may be possible for eligible students.
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
Analyse the dynamics of the motor insurance market.
Build lapse probability models.
Estimate elasticity and customer response to price.
Optimise prices subject to technical and commercial constraints.
Design controlled dynamic pricing schemes.
Evaluate the regulatory and fairness limits of differential pricing.
Design retention strategies based on customer value.
Who it's for
- Motor pricing actuary wishing to specialise in Retention Strategies and Dynamic Pricing in Automotive.
- Customer retention analyst wishing to specialise in Retention Strategies and Dynamic Pricing in Automotive.
- Commercial data scientist wishing to specialise in Retention Strategies and Dynamic Pricing in Automotive.
- Price optimisation manager wishing to specialise in Retention Strategies and Dynamic Pricing in Automotive.
- Motor portfolio manager wishing to specialise in Retention Strategies and Dynamic Pricing in Automotive.
- Commercial strategy consultant wishing to specialise in Retention Strategies and Dynamic Pricing in Automotive.
- Graduates in engineering or science seeking to join insurance companies.
What you'll work with
- EIOPA Supervisory Statement on differential pricing practices (2023)
- FCA PS21/5 (pricing practices in general insurance, United Kingdom)
- Commission Delegated Regulation (EU) 2017/2358 (product governance)
- Directive 2005/29/EC (unfair commercial practices)
- Regulation (EU) 2016/679 (GDPR, Art. 22)
- Spanish Law 15/2022 on equal treatment and non-discrimination
- Directive 2004/113/EC (equal treatment in goods and services)
8 modules · 800 h
1.1Structure of the motor insurance market1.2Underwriting and renewal cycle1.3Channels: direct, brokers and price comparison websites1.4Lapse rate and its determinants1.5Customer lifetime value1.6Acquisition cost versus retention cost1.7Soft and hard pricing cycles1.8Claims and repair cost inflation1.9Key commercial indicators1.10Case study: diagnosing lapses in a motor portfolio
2.1Definition of attrition and time windows2.2Policy, customer and claims variables2.3Logistic regression for renewal2.4Gradient boosting for lapse prediction2.5Policy survival models2.6Effect of claims on renewal2.7Probability calibration2.8Interpretation using SHAP values2.9Temporal validation of the model2.10Practical exercise: lapse propensity model
3.1Demand and price elasticity3.2Controlled price experiments3.3Estimating elasticity with observational data3.4Causal inference and instrumental variables3.5Uplift models3.6Sensitivity by segment3.7Market price benchmarking3.8Effect of online comparators3.9Risks of bias in estimation3.10Laboratory: estimating elasticity with renewal data
4.1Objective function: profit, volume and retention4.2Business and regulatory constraints4.3Constrained optimisation in Python4.4New business pricing4.5Renewal pricing4.6Annual variation limits4.7Portfolio scenario simulation4.8Efficient frontier of volume and margin4.9Governance of pricing decisions4.10Practical exercise: optimising a renewal portfolio
5.1Fundamentals of dynamic pricing5.2Frequent rate updates5.3Market and competitor data5.4Reinforcement learning and bandits5.5Real-time pricing on comparison websites5.6Integration with telematics5.7Risks of price instability5.8Automated price monitoring5.9Technical architecture of pricing5.10Laboratory: multi-armed bandit for price offers
6.1Prohibition of price walking in the United Kingdom6.2FCA rules on renewal pricing6.3EIOPA supervision of pricing practices6.4Insurance Distribution Directive6.5Prohibition of gender discrimination6.6Use of personal data in pricing6.7Consumer transparency6.8Reputational risk management6.9Audits of pricing practices6.10Case study: impact of the 2022 UK regulation
7.1Segmentation by value and risk7.2Proactive actions before expiry7.3Personalised renewal offers7.4Loyalty programmes7.5Cross-selling and multi-product bundles7.6Claims experience and retention7.7Omnichannel customer communication7.8Measuring incremental effect7.9Retention dashboards7.10Workshop: retention campaign with a control group
8.1Portfolio analysis8.2Attrition model8.3Elasticity estimation8.4Optimisation design8.5Retention strategy8.6Regulatory compliance analysis8.7Economic impact simulation8.8Implementation plan8.9Report and presentation8.10Final review with the tutor
How you'll learn
A 100 % online programme on the SEIUM Institute campus, with downloadable material, recorded classes and a dedicated technical tutor. There are 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 Earnix, Python (lifelines, scikit-learn), R, Akur8, SAS, in free, academic or evaluation versions. Case studies are based on real procedures for attrition models in motor policy renewal, elasticity estimation using quotation data, and price optimisation under regulatory constraints. Assessment is continuous across modules, plus a final integrating project.
Build it end to end
Your final project follows the real engineering workflow, step by step, reviewed by your tutor.
Analyse the dynamics of the motor insurance market.
Build lapse probability models.
Estimate elasticity and customer response to price.
Optimise prices subject to technical and commercial constraints.
Design controlled dynamic pricing schemes.
Where this takes you
Requirements
- Prior technical training or professional experience in the sector. A university degree is not required.
- Internet connection and a computer capable of running the programme's software.
- A level of Spanish sufficient 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 comprises 800 hours in total, spread over 6 to 8 months. That is between 10 and 15 hours per week on average, compatible with a full-time job.
The programme uses Earnix, Python (lifelines, scikit-learn), R, Akur8 and SAS. Free, academic or evaluation versions are used, and the tutor indicates the free alternative where one exists.
An own diploma from SEIUM Institute upon passing the continuous assessment and the integrating project. This is in-house training, not an official qualification from the Ministry.
Yes. Modules passed in a course or postgraduate diploma in the same area can be credited towards the advanced programme. Please check the credit transfer policy when you enrol.
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