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7 дней назад

Insurance Risk Modelling Senior Risk Analyst

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Insurance Risk Modelling Senior Risk Analyst (Actuarial Risk Modeling): Developing, calibrating, testing, and enhancing insurance risk capital models for non-catastrophic Reserve Risk and Premium Risk with an accent on stochastic actuarial techniques, claims liabilities, and risk aggregation. Focus on analyzing claims and underwriting data, calibrating model parameters, validating results, and communicating capital model outputs to technical and business stakeholders.

Location: London; primarily office-based

Company

hirify.global provides commercial and personal insurance solutions through a global property and casualty insurance network.

What you will do

  • Develop stochastic actuarial models and applications for non-catastrophic Reserve Risk and Premium Risk.
  • Calibrate Insurance Risk parameters, including line-of-business volatilities and cross-line correlations.
  • Analyze historical claims and underwriting data to develop model assumptions and parameters.
  • Translate business requirements into analytical solutions and model specifications, then perform testing, sensitivity analysis, benchmarking, and validation.
  • Support actuarial, risk management, underwriting, and finance stakeholders in understanding Insurance Risk, capital requirements, and model outputs.
  • Maintain model documentation and support governance, validation, review, and ad hoc capital analysis activities.

Requirements

  • Experience in insurance, actuarial work, capital modelling, or quantitative risk management.
  • Experience applying stochastic modelling techniques in Property & Casualty insurance or related areas.
  • Understanding of reserving, pricing, Insurance Risk, economic capital modelling, and risk aggregation principles.
  • Proficiency in mathematical, statistical, actuarial, and quantitative methodologies.
  • Experience with programming or quantitative tools such as Igloo, Python, R, VBA, or MATLAB.
  • Degree in Actuarial Science, Statistics, Quantitative Finance, Data Science, Mathematics, or a related field.

Nice to have

  • Knowledge of Solvency II and related insurance capital regulatory frameworks.
  • Progress toward an actuarial qualification.

Culture & Benefits

  • Primarily office-based collaboration to support interaction with colleagues and clients.
  • Benefits supporting health, wellbeing, financial security, and professional development.
  • Continuous learning and development opportunities.
  • Inclusive culture supported by cultural awareness activities and Employee Resource Groups.

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