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Bangalore, KA, IN

Senior Actuarial Modelling Analyst

About Swiss Re


Swiss Re is one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. We cover both Property & Casualty and Life & Health. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 14,000 employees across the world.

Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics. In our inclusive and flexible environment everyone can bring their authentic selves to work.



The RAFM Modelling Centre of Excellence (MCoE) is a large global team, responsible for creating and maintaining the RAFM actuarial models and Unify workflows used across 6 Swiss Re L&H Reinsurance locations.  With a current team size of 15 based across 4 locations, the MCoE's remit spans from understanding requirements from stakeholders, through to the development, testing, quality assurance, maintenance and on-going support of RAFM and Unify.

The MCoE in the wider context of Swiss Re Reinsurance is part of the Life & Health Business Management division, which is responsible for the inforce management of Swiss Re's global L&H Reinsurance business.  

An exciting opportunity for a skilled actuary to join the MCoE team has become available to support the migration of the RAFM actuarial models to AXIS.  This project will create AXIS actuarial models which will ultimately replace the RAFM models.  The migration project will be completed in parallel by a separate project team of approx. 10 actuarial professionals who are part of the RAFM MCoE team.  This is a great opportunity to join the project team from the beginning and be involved in the end-to-end migration process including design, implementation, testing and handover of AXIS models.

As a qualified / part qualified actuary with 4+ years of life insurance/reinsurance experience, the successful candidate will be able to demonstrate sound technical actuarial knowledge and experience developing and/or using actuarial models, specifically cash flow projection models, including understanding the actuarial assumptions, data and methodology and analysing and explaining the resulting cashflow and reserve projections.

The ideal candidate will have the following skills/experience:

  • Skilled actuarial software developer and/or user with at least 5+ years of experience in the insurance/actuarial industry. Development experience using RAFM, AXIS, VBA, SQL or Python is ideal but not necessary.  Training will be provided as needed.
  • Excellent organisational and analytical skills with attention to detail – able to quickly absorb details on business structure, product features and model requirements.
  • Ability to robustly understand and apply actuarial best practice (setting up models, documentation, governance, analysis, testing etc),
  • Experience mentoring and coaching team members of varying experience and driving team engagement
  • Good communication, both written and verbal, with an ability to work with other MCoE/project team members in multiple locations
  • Ability to identify complex problems, find innovate solutions and translate this into software solutions within the modelling platform that are robust but also efficient and transparent
  • Ability to work independently, reliably, efficiently, transparently, accurately and deliver to deadlines
  • Shows initiative in identifying issues and supporting other team members, peers and senior stakeholders
  • Ability to work under pressure and prioritize tasks accordingly

Reference Code: 117870 


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