Corporate Actuarial Analyst

About the Role:

Reporting to Senior Team Lead Actuarial Modelling in MCoE BLR, this is an exciting opportunity for a skilled actuarial student to join the Risk Management Life & Health Re division, which is responsible for the inforce management of Swiss Re's global L&H Reinsurance business.

• Support the development and maintenance of Life & Health AXIS models used for financial reporting and portfolio management in US, Canada, Latin America and ANZ DI.
• Support the model migration from RAFM to AXIS for EMEA, Asia, ANZ LS.
• Provide support to team leads to help resolve model issues through debugging, unit testing and knowledge sharing as required or provide support to RAFM to AXIS migration Leads to help to resolve model migration issues through debugging, unit testing and knowledge sharing as required
• Ability to handle stakeholder requests and deliver solutions independently
• Produce high quality models and associated documentation for the user community. Ensure model development and testing activities are in accordance with agreed model governance framework and testing procedures
• Enhance and extend various existing model building tools and model validation tools as needed
• Support the development of IT systems to enable the rapid transition to the target landscape, and help drive operational excellence
• Drive continuous process improvements to maximize productivity and work product quality

About the Team:
 

We reside within the Risk Management L&H Re division, which manages our reinsurance business. With a team size of approximately 55 colleagues spanning multiple geographic locations (Bangalore, London, Fort Wayne, Toronto) you will have the opportunity to influence a wide variety of team goals and add to team spirit.

About You:

As a part qualified actuary with an understanding of life insurance/reinsurance industry, the successful candidate will be able to demonstrate sound technical actuarial knowledge and aptitude for 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:

• Knowledgeable actuarial student with 0- 2 years of experience in the insurance/actuarial industry. Exposure to RAFM, AXIS, VBA, SQL or Python is ideal but not necessary.  Training will be provided as needed.  
• Excellent understanding of fundamental actuarial concepts. Completion of some actuarial exams would be preferable.
• Excellent organisational and analytical skills with attention to detail – able to understand details on business structure, product features and model requirements. 
• Ability to understand and apply actuarial best practice (setting up models, documentation, governance, analysis, testing etc).
• Good communication, both written and verbal, with an ability to work with other MCoE/project team members in multiple locations and externally with key partners.
• Ability to support senior team members with resolving complex problems by debugging and unit testing.
• Ability to work reliably, efficiently, transparently, accurately and deliver to deadlines.
• Desire to learn from highly skilled actuarial professionals to grow your professional development
• Ability to work under pressure and prioritise tasks accordingly
• Growth mentality with a dedication to maintain a team spirit based on openness and respect
• Desire to learn from highly skilled industry professionals across multiple fields to grow your professional development