DZ

Dana Zegarra

Longevity Data Analyst at Club Vita

Dana Zegarra is an experienced Longevity Data Analyst at Club Vita since May 2022, with prior roles at WTW as an Associate and Analyst in Retirement from September 2019 to May 2022. Dana's career also includes serving as a business services advisor at Desjardins from July 2018 to August 2019 and as an Assistant Instructor at Kumon North America, Inc. from June 2014 to July 2018. Dana holds a Bachelor's degree in Actuarial Science from Université de Montréal, earned between 2015 and 2018, and a DEC in Science from Champlain College, completed from 2012 to 2014.

Location

Montréal, Canada

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Club Vita

Club Vita is a centre of excellence for improving our understanding of patterns in human longevity. Its insights help pension funds, insurers and governments make affordable long-term promises, and foster innovation in longevity risk management. Club Vita was founded in the UK in 2008 and has subsequently expanded to Canada in 2015 and the US in 2019. Our name Club Vita combines the human interest in sources of longer life - Vita being latin for life - with the power of collaboration, which courses through the veins of the club. These collaborations operate on three levels: 1. Data pooling: Every year data is pooled from our Club members (globally, over 300 defined benefit pension plans and insurers). Large numbers dampen down the statistical noise, so that the signals become clearer. Personalised risk reporting is provided to all data suppliers on a subscription basis. 2. Research: We actively support joint research with a variety of organisations. 3. Public interest: We make high level statistical insights publicly available, particularly where they can help us build a sustainable society and deliver inter-generational fairness. Club Vita is powered by a talented team. In our discussion group, friends of Club Vita, you will hear from our expert statisticians, longevity actuaries and risk strategists. Behind the scenes, we could not deliver the vast array of statistical insights without our gifted team of database architects and data processors.


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11-50

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