Peril Advisory Engineer

Philadelphia - South 17th, United States

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...

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Company:

Guy Carpenter

Description:

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.

Guy Carpenter, a business of Marsh McLennan (NYSE: MMC), is a leading global risk advisory and reinsurance specialist and broker. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit guycarp.com, or follow on LinkedIn and X.

Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, veteran status (including protected veterans), or any other characteristic protected by applicable law. If you have a need that requires accommodation, please let us know by contacting reasonableaccommodations@mmc.com.

Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.

The applicable base salary range for this role is $79,500 to $145,800.

The base pay offered will be determined on factors such as experience, skills, training, location, certifications, education, and any applicable minimum wage requirements. Decisions will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives.

We are excited to offer a competitive total rewards package which includes health and welfare benefits, tuition assistance, 401K savings and other retirement programs as well as employee assistance programs.

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Category: Engineering Jobs

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

Regions: Remote/Anywhere North America
Country: United States

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