8 дней назад
Risk and Resilience Engineer (Climate Risk)
102 000 - 133 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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