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8 дней назад

Risk and Resilience Engineer (Climate Risk)

102 000 - 133 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
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
Risk and Resilience Engineer (Climate Risk) (Engineering/Resilience/Climate Risk): Building property-level loss and resilience models that translate flood, wildfire, and wind hazards into structural damage, repair costs, downtime, and financial impacts with an accent on first-principles engineering, statistical methods, and imperfect data. Focus on validating scalable multi-hazard models, quantifying uncertainty, characterizing the global built environment, and modeling the financial value of adaptation and resilience interventions.

Location: New York, United States

Salary: $102,000–$133,000 per year, plus eligibility for an annual bonus.

Company

hirify.global provides research-based data, analytics, indexes, and sustainability and climate solutions for global financial-market participants.

What you will do

  • Develop loss and resilience models connecting physical climate hazards with financial impacts on buildings, infrastructure, and other assets.
  • Estimate structural damage, repair costs and timelines, downtime, and indirect economic impacts from flood, wildfire, wind, and other hazards.
  • Analyze historical loss, observational, exposure, construction, and cost datasets, addressing incomplete or inconsistent data.
  • Validate model performance using statistical analysis, sensitivity testing, observational data, and uncertainty quantification.
  • Build scalable multi-hazard models across asset types and geographies by incorporating engineering research, standards, building codes, materials, and construction practices.
  • Develop property-level adaptation scenarios to assess how resilience measures reduce damage and downtime and evaluate their potential return on investment.

Requirements

  • Ph.D. preferred, or a master’s degree with 3–5+ years of relevant experience in structural or civil engineering, operations research, resilience engineering, catastrophe risk, or a related quantitative field.
  • Degree in structural engineering or civil engineering with a structural focus.
  • Experience with vulnerability and loss modeling, statistics, probabilistic methods, and quantitative analysis.
  • Experience developing building and infrastructure risk, vulnerability, or loss models from the ground up, including calibration, validation, uncertainty quantification, and implementation.
  • Advanced proficiency in Python or comparable scientific programming languages, plus experience with large datasets, high-performance computing, cloud platforms, and Git.
  • Experience applying machine learning and AI to engineering, risk, resilience, or scientific modeling, with a record of rigorous research and publication.

Culture & Benefits

  • Flexible working arrangements, advanced technology, and collaborative workspaces.
  • Comprehensive employee benefits tailored to location and financial, health, and wellbeing needs.
  • Annual bonus eligibility and transparent compensation schemes.
  • Global orientation, learning platforms, AI learning resources, and ongoing professional development.
  • Career growth through internal mobility, expanded roles, and multi-directional career paths.
  • Inclusive employee resource groups and a global network of colleagues.

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