J&JCONSULTING
A business change lead presenting Solvency II reporting, data flow and target operating model diagrams to colleagues in a London meeting room

Regulatory transformation · Insurance · Data & business change

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MS AMLINSolvency IIBusiness Change

From regulatory complexity to a stronger, more resilient tomorrow.

  • Regulatory readiness
  • Data governance
  • Process transformation
  • Sustainable business change
Programme value
£5.5M
Team members
28
Regulatory transformation
Solvency II
Reporting environment
PRA / Lloyd’s

Solvency II Business Analyst — Business Change · November 2015 – October 2016

Illustrative visual — not a client system or screenshot.

From regulatory
complexity to
business clarity.

A structured business-change approach connecting regulatory requirements, data quality, governance, systems and operating model design across the insurance environment.

Structure. Governance. Transformation.

From regulatory complexity to controlled business change

  1. 01

    Data discovery

  2. 02

    Business & data requirements

  3. 03

    Data standardisation

  4. 04

    Regulatory reporting

  5. 05

    Solution design

  6. 06

    Testing & change

  7. 07

    Target operating model

  8. 08

    Service transition

Regulatory data. Business change.

From data discovery to decision support

Conceptual representation of how business data flowed toward regulatory reporting.

  1. Business areas

    • Finance
    • Actuarial
    • Underwriting
    • Policy & Claims
    • Capital Modelling

  2. Data sources

  3. Data quality & standardisation

  4. Transformation rules

  5. Regulatory reporting

  6. PRA / Lloyd’s

Solvency II as a data & business transformation journey

  • Solvency II

    The EU/UK prudential regime for insurers.

  • Data discovery

    Identifying where relevant data lives.

  • Data standardisation

    Aligning data to consistent formats and definitions.

  • Data governance

    Ownership, controls and accountability for data.

  • Data quality

    Accuracy, completeness and consistency of data.

  • Pillar III

    The Solvency II public disclosure and reporting pillar.

  • Risk & capital

    Capital requirements and risk-based reporting.

  • Regulatory reporting

    QRT and narrative reporting to regulators.

  • Business change

    Process, people and operating-model change alongside the technical work.

From current state to BAU

Target operating model

  1. 01

    Current state

  2. 02

    Gap analysis

  3. 03

    Target operating model

  4. 04

    Process re-engineering

  5. 05

    BAU transition

Framework

Data governance as a business foundation

Conceptual framework connecting data discovery to reporting.

  1. Data ownership

  2. Data quality

  3. Data standards

  4. Data controls

  5. Regulatory reporting

GDPR data discovery & scoping

Understanding where personal data sits

Discovery and scoping activity.

  1. Source systems

  2. Personal data

  3. Data flows

  4. Access & permissions

  5. Third-party / offshore transfers

  6. Scoping & findings

Technology ecosystem

  • Subscribe S2000
  • Igloo Standard Formula
  • Tagetik
  • SQL Server
  • Excel

One transformation. Multiple business domains.

  • Finance

    General ledger, reporting and financial control.

  • Actuarial

    Reserving, pricing and capital analysis.

  • Underwriting

    Risk selection, pricing and policy terms.

  • Policy & Claims

    Policy administration and claims handling.

  • Capital Modelling

    Capital requirements and risk-based modelling.

Connecting the work

Business change × Technology × Delivery

  1. Business users

  2. Business analysis

  3. Technical teams

  4. Data / systems

  5. Testing

  6. BAU / service transition

Regulatory change. Data intelligence. Business transformation.

Solvency II business change for MS Amlin, November 2015 – October 2016: a £5.5M programme with a 28-person team, reporting to PRA and Lloyd’s.

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Also at MS Amlin: System Strategy & Governance Programme, 2019 – 2020