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
Qualifications
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
Skills Required
- Undergraduate or graduate degree in Mathematics, Finance, Economics, or Actuarial Science
- Minimum seven years' experience building actuarial models for U.S. life (re)insurance products (liability projections, experience and persistency analysis, claims analysis)
- Minimum seven years' experience in information technology
- Experience with actuarial projection software
- SQL programming
- Excel
- Access
- Database warehousing development and maintenance
- Knowledge of Risk Agility FM, Moody's Analytics ESG, and/or worker/manager structures
- Capital markets knowledge or experience (at least one year); familiarity with Bloomberg
- CFA designation
- Familiarity with stochastic modelling and economic scenario generators
- Supervising and mentoring analysts / management experience
- Experience developing or supervising claim verification protocols for variable annuities and reviewing traditional life reinsurance claims
- Ability to meet tight deadlines and work extended hours/weekends when required
- Experience acting as liaison with corporate IT and maintaining actuarial/IT systems (e.g., Risk Agility FM, Moody's ESG, TAI)
What We Do
Chubb is the world’s largest publicly traded property and casualty insurance company. With operations in 54 countries and territories, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance and life insurance to a diverse group of clients. As an underwriting company, we assess, assume and manage risk with insight and discipline. We service and pay our claims fairly and promptly. The company is also defined by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength and local operations globally. Parent company Chubb Limited is listed on the New York Stock Exchange (NYSE: CB) and is a component of the S&P 500 index. Chubb maintains executive offices in Zurich, New York, London, Paris and other locations, and employs 31,000 people worldwide. Additional information can be found at: chubb.com.
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