Senior stochastic economic scenarios expert 80-100%

  • Post Date: October 26, 2022
  • Applications 0
  • Views 435
Job Overview

Are you interested in gaining detailed first-hand insights into advanced financial models, their implementation and their importance for market consistent valuations from a truly global perspective?

If yes, read on this might be the right opportunity for you!

As a key member of the Group Life Actuarial Methodology and Development team, you will be responsible for leading the development and maintenance of the market consistent economic assumption methodology for IFRS17, Solvency II and Swiss Solvency Test (SST) for the whole Zurich Group and business units worldwide.

What you will do

Lead market consistent economic assumptions methodology enhancements and maintenance for valuations of the whole Zurich insurance group

Understand and document highly technical details on mathematical theory, calibration approaches and numerical implementation of various models

Develop existing methodology, parameterization, implementation and processes for IFRS17, Solvency II and SST as well as for other market consistent economic valuation frameworks for business units worldwide

Communicate technical topics across the whole organization to both technical and non-technical audiences (e.g. senior management)

Manage relations with a wide range of stakeholders (e.g. regulators, business units across the globe, Group Risk management, Group Investment management, etc.)

Keeping abreast of latest industry developments and best practice on market consistent economic assumptions to identify and implement future developments across the whole Zurich Group

Consult and support the production team as necessary to reach team’s objectives

5+ years of experience with stochastic economic scenarios and other related topics (e.g. yield curve, illiquidity premium, etc.), ideally working for an insurance Group or for financial consultancies

Master’s degree in finance/data science/maths/physics or similar. An actuarial qualification is a plus

Comprehensive understanding of the mathematical theory behind a wide range of financial models (e.g. Smith-Wilson, LMM+, TVDV, 2FVasiceck, G2/G3 etc.) and of their numerical implementation, calibration and usage under the main insurance frameworks (e.g. IFRS17, SII, SST)

Deep understanding of the interrelations between market consistent economic assumptions and the valuation of insurance liabilities

Practical experience with Moody’s Analytics tools for stochastic scenario production

Practical experience with Python or other similar programming language (e.g. R, Matlab)

Experience in working with Cloud using DevOps tools (e.g. Azure DevOps, CI/CD pipeline, etc.) is an advantage as well as a strong capability of investigating new IT solutions to better meet business needs

Ability to develop innovative solutions with a problem-solving and solution-oriented attitude

Strong analytical skills, attention to details, accuracy and commitment to quality and timeline

Fluent English and strong communication skills, both written and oral

Job Detail
  • Offerd Salary120,000 CHF
  • Career LevelOthers
  • Experience4 Years
  • GenderBoth
  • INDUSTRYBanking
  • QualificationMaster’s Degree
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