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CourseInsurance, Risk & Actuarial Data Applications open

Course in KPIs in Insurance Product Management

Online 300-hour course in KPIs in insurance product management. 6 modules covering Delegated Regulation (EU) 2017/2358 (product governance), Insurance Distribution Directive (EU) 2016/97 (IDD) and Power BI. Assigned tutor and open enrolment.

Duration300 h
ModeOnline
LanguageEnglish
Start datesSet by the faculty
AwardSEIUM Institute certificate
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Learning outcomes

What you will be able to do

01

Manage the insurance product as a business unit.

02

Define commercial and portfolio indicators.

03

Analyse technical indicators such as loss ratio and combined ratio.

04

Measure price competitiveness and its elasticity.

05

Incorporate customer, service and fair value indicators.

06

Design a product dashboard for management.

07

Make product decisions based on the indicators.

Profile

Who it's for

  • Insurance product manager looking to specialise in KPIs in insurance product management.
  • Technical controller looking to specialise in KPIs in insurance product management.
  • Insurance business analyst looking to specialise in KPIs in insurance product management.
  • Pricing manager looking to specialise in KPIs in insurance product management.
  • Product governance manager looking to specialise in KPIs in insurance product management.
  • Business intelligence analyst looking to specialise in KPIs in insurance product management.
  • Graduates in engineering or science seeking to enter insurance companies.
Standards & tools

What you'll work with

  • Delegated Regulation (EU) 2017/2358 (product governance)
  • Insurance Distribution Directive (EU) 2016/97 (IDD)
  • IFRS 17
  • Directive 2009/138/EC (Solvency II)
  • Order ECO/734/2004 (customer service)
  • ISO 10002 (complaints handling)
Syllabus

6 modules · 300 h

  1. 1.1What a product is and what defines it
  2. 1.2Lifecycle: design, launch, maturity and withdrawal
  3. 1.3Responsibility of the product manager
  4. 1.4Stakeholders: actuarial, underwriting, claims, sales and technology
  5. 1.5Product profit and loss account
  6. 1.6Questions the manager should be able to answer each month
  7. 1.7Difference between indicator, target and alert
  8. 1.8Indicator hierarchy and reading them together
  9. 1.9Data sources and their reliability
  10. 1.10Workshop: defining a product dashboard
  1. 2.1New business: policies, premium and average premium
  2. 2.2Conversion rate by channel and by segment
  3. 2.3Acquisition cost and its recovery
  4. 2.4Retention, lapse and reasons for cancellation
  5. 2.5Average portfolio and tenure
  6. 2.6Portfolio mix and its drift
  7. 2.7Cross-selling and products per customer
  8. 2.8Customer lifetime value
  9. 2.9Commercial alerts and their thresholds
  10. 2.10Practice: commercial dashboard for a product
  1. 3.1Frequency, average cost and loss ratio
  2. 3.2Gross, net and accident-year loss ratio
  3. 3.3Claims development and early warning signals
  4. 3.4Expense ratio and combined ratio
  5. 3.5Peak claims and their effect on the indicator
  6. 3.6Loss ratio by segment and by cover
  7. 3.7Claims handling indicators: timescales and open files
  8. 3.8Reinsurance and its effect on the indicators
  9. 3.9Technical profitability by segment
  10. 3.10Practice: technical dashboard for a product
  1. 4.1Average rate and its evolution
  2. 4.2Price effect and mix effect on the average premium
  3. 4.3Premium adequacy against the risk rate
  4. 4.4Market positioning
  5. 4.5Discounts applied and their control
  6. 4.6Renewals: increase applied and accepted
  7. 4.7Observed elasticity by segment
  8. 4.8Tariff quality indicators
  9. 4.9Price deterioration alerts
  10. 4.10Practice: analysis of the evolution of the average premium
  1. 5.1Customer satisfaction and recommendation
  2. 5.2Complaints: volume, cause and resolution
  3. 5.3Service timescales and compliance with commitments
  4. 5.4Product data quality indicators
  5. 5.5Product governance and oversight: evidence
  6. 5.6Suitability for the target market
  7. 5.7Conduct and fair treatment indicators
  8. 5.8Technology incidents and their effect
  9. 5.9Operational risk of the product
  10. 5.10Practice: customer and compliance dashboard
  1. 6.1From indicator to decision: diagnostic tree
  2. 6.2Action plans by type of deviation
  3. 6.3Decision to redesign, reposition or withdraw a product
  4. 6.4Product committee: preparation and follow-up
  5. 6.5One-page monthly report
  6. 6.6Automating the dashboard
  7. 6.7Certification of official indicators
  8. 6.8Common errors in product dashboards
  9. 6.9Evolution of the dashboard alongside the product
  10. 6.10Final project: complete dashboard for a mobility product
Methodology, software & labs

How you'll learn

Fully 100% online training on the SEIUM campus, with downloadable material, recorded classes and an assigned 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 Power BI, Tableau, SQL, Python (pandas), in free, academic or evaluation versions. Case studies are based on real procedures for building product dashboards, profitability analysis by segment and customer value reviews. Assessment is continuous, module by module, plus the final integrative project.

Accreditable laboratories(EN ISO/IEC 17025) with a rotor test rig, EMC/Lightning pre-compliance, HIL/SIL and vibration/acoustics.
Evidence-oriented final project:safety case, test plan, compliance dossier and operational limits.
Industry-mentored:lecturers with experience in training, , eVTOL/UAM and flight test.
Flexible format(hybrid/online), international cohorts and support from SEIUM Career Services.
Ethics and safety:a safety-by-design approach, ciber-OT, DIH and compliance as its pillars.
Capstone project

Build it end to end

Your final project follows the real engineering workflow, step by step, reviewed by your tutor.

From indicator to decision: diagnostic tree

Manage the insurance product as a business unit.

Action plans by type of deviation

Define commercial and portfolio indicators.

Decision to redesign, reposition or withdraw a product

Analyse technical indicators such as loss ratio and combined ratio.

Product committee: preparation and follow-up

Measure price competitiveness and its elasticity.

One-page monthly report

Incorporate customer, service and fair value indicators.

Career opportunities

Where this takes you

Insurance product managerTechnical controllerInsurance business analystPricing managerProduct governance managerBusiness intelligence analyst
Admissions & scholarships

Requirements

  • No prior qualification required.
  • Internet connection and a computer capable of running the programme's software.
  • Spanish language level 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.

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FAQ

Frequently asked questions

The programme totals 300 hours spread over 3 to 5 months. That is an average of 10 to 15 hours per week, compatible with full-time work.

You will work with Power BI, Tableau, SQL, Python (pandas). Free, academic or evaluation versions are used, and the tutor indicates the free alternative where one exists.

SEIUM's own diploma upon passing the continuous assessment and the integrative project. It is in-house training, not an official qualification from the Ministry.

Yes. Modules passed on a course or postgraduate diploma in the same area are recognised towards the higher-level programme. Check the recognition policy when you enrol.

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