Vice President and Head of Data Management

Chubb
Chubb

IT, Data Science

Bermuda

Posted on Jul 28, 2026
  • Analysing and reporting of risk components through development and maintenance of stochastic simulation models

  • Supporting other aspects of the life reinsurance business, including financial modelling, pricing, experience studies, and performing sensitivity testing

  • Supervising and mentor analysts that report directly to this position

  • Responsibility for the development and maintenance of data warehouse to store and administer variable annuity policyholder data, and the development and production of standard and ad hoc data reports

  • Development and maintenance of experience studies including lapse and annuitisation

  • Supervising the development of a claim verification protocol for variable annuities

  • Reviewing and approving traditional life reinsurance claims

  • Maintaining all software/systems specific to Chubb Tempest Life Re (SQL/data warehouse, Risk Agility FM, Moody’s Analytics ESG, TAI for traditional life block) and act as CTLR connection with corporate IT


  • Undergraduate or graduate degree in Mathematics, Finance, Economics or Actuarial Science

  • A minimum of seven years’ experience building actuarial models for U.S. life (re)insurance products, including models for liability projections, experience and persistency analysis, claims analysis, policy data administration, and financial/accounting data maintenance

  • Strong expertise (minimum seven years’ experience) in information technology

    • Must include experience with actuarial projection software, SQL programming, Excel, Access and database warehousing. Knowledge of Risk Agility FM, Moody’s Analytics ESG, and/or worker/manager structures highly desirable

  • Capital markets knowledge and/or experience (at least one year)-familiarity with Bloomberg, CFA designation a plus

  • Familiarity with stochastic modelling and economic scenario generators, via work experience or education

  • Genuine aptitude for working in a small team environment; and

  • Ability to meet tight deadlines

  • Successful applicant will be able to work extended hours and weekends when required