Peril Advisory Engineer
Philadelphia - South 17th, United States
Full Time Mid-level / Intermediate USD 79K - 145K
Marsh McLennan
Marsh McLennan is the world’s leading professional services firm in risk, strategy and people. We bring together experts from across our four global businesses — Marsh, Guy Carpenter, Mercer and Oliver Wyman — to help make organizations more...Company:
Guy CarpenterDescription:
We are seeking a talented individual to join our North America Peril Advisory, Global Model Solutions & Advisory of Guy Carpenter. This role is available in our Chicago, Philadelphia, or New York City offices. This is a hybrid role that has a requirement of working at least three days a week in the office.
As a key contributor, you will join an industry-leading team of scientists and engineers who are bridging the gap from technical and academic competency in natural catastrophe risk to actionable business insights and outcomes.
We will count on you to:
Develop, deploy, deliver, and adopt Peril Advisory products, supporting Guy Carpenter peril advisory experts.
Participate in multi-disciplinary and cross-functional efforts including event response, catastrophe model evaluation, risk score and tool development, product delivery and client support alongside catastrophe modeling, global analytics and advisory and broking colleagues.
Help to advance our efforts on renewable energy analytics and help build out our resiliency offerings
What you need to have:
PhD or MSc degree in civil, structural, or environmental engineering with a focus on natural disasters with 3+ years of combined internship and work experience
Strong statistical background with experience in computing languages such as Python, R, and data visualization
Strong problem-solving, communication, and analytical skills
Strong skills in Microsoft technology (Office 365, SharePoint, Teams, PowerBI, etc.)
What makes you stand out:
Knowledge in weather and climate models, stochastic or dynamical downscaling; earthquake forecasting and ground motion models (GMMs) in case of a seismology background or assessing engineering damage characteristics under earthquake, wind, fire, flood, or other natural disaster types
Computation experience in machine learning algorithms, multivariate extreme value theory, cloud computing, data engineering, emergent database technologies such as Databricks or scalable distributed processing of spatial data
Knowledge of catastrophe models leveraged in the insurance industry
Why join our team:
We help you be your best through professional development opportunities, interesting work and supportive leaders.
We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities.
Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being.
Tags: Databricks Data visualization Engineering Machine Learning PhD Power BI Python R SharePoint Statistics
Perks/benefits: Career development Competitive pay Flex hours Health care Insurance
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