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Barnett Waddingham
0333 11 11 222

Nasir Shah FIA

Associate

Nasir supports a wide range of general (re)insurance companies across a wide variety of areas.

He has led large teams to deliver various engagements internationally and in the UK, across personal lines and commercial lines insurers. Nasir has also led the development of a product built to facilitate internal model communications.

His expertise and knowledge of market issues combined with his dynamic approach to solving client challenges has led him to become a trusted adviser for a number of clients.

Nasir’s expertise relates to capital modelling, internal model validation, reserving, risk management, model use with visualisation, Solvency II, IFRS and process transformation projects.


Significant experience:

  • Nasir led independent model validation project for a number of large Lloyd's and a couple of medium sized managing agent including delivery of validation reports. All clients requested for Nasir to lead the same project the following years, as testament to the success of the projects in the initial iteration.
  • He led the model validation of a casualty catastrophe model, with the client based in in the US. The unique nature of the project meant that standard validation techniques were not suitable at times, and as such an innovative and bespoke solution was designed and implemented.
  • He was an integral part of a Model Justification team of a large retail insurance company, ensuring model validation was in line with Solvency II whilst also providing technical input.  The model was successfully approved through the IMAP.
  • Nasir has carried out Lloyd's of London actuarial opinion reserve estimation for various Lloyd's syndicates. Nasir managed a team providing a Statement of Actuarial Opinion to one of the largest syndicates in the Lloyd's market writing more than 60 classes of business worldwide.

Other expertise:

Alongside the model validation, Nasir has recently led a Group wide Solvency II Pillar III process implementation, which has required working within a multidisciplinary team as well as with companies specialising in IT and big data solutions.

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