Hydrologist (Inland Flood Modeler)
First StreetAbout the role
Who we are: First Street is the industry standard for physical climate risk data. We use transparent and peer-reviewed methodologies to calculate the past, present, and future climate risk for every property in the world. We started eight years ago by working with the world’s leading climate scientists to create groundbreaking, climate-adjusted, property specific models and haven’t stopped.
Our mission: We exist to connect climate change to financial risk
Our data: We create physics-based, deterministic models of flooding, wildfire and hurricanes, and advanced statistical models of extreme heat, air quality, drought, hail, severe convective storms, winter storms, and more. All of this data is used to create property-level financial risk metrics and macroeconomic variables to quantify the impacts of climate change.
Our customers: We empower governments at the highest levels to make smart regulations, businesses to avoid bad investments, and everyday Americans to understand their personal risk from climate change. We are relied on every day by:
Agencies ranging from the U.S. Department of Treasury to Fannie Mae
The world's biggest banks such as Bank of America and Wells Fargo
Institutional investors like Nuveen and Blackstone
Millions of users on Redfin, Realtor.com, Homes.com, and more
We believe: Our work needs to match the pace and scope of the climate problem. This is why we have invested tens of millions of dollars into our science, data, people, and products and have raised tens of millions more to move even faster.
Come join us and use your talents to create solutions to address humanity's biggest problem.
Team & Role Overview:
We are looking for a Climate Scientist with a specialization in flood modeling to join our team. This person will need to have several years of postdoctoral professional experience and the ability to lead projects and potentially people.
What you’ll do:
Develop and operate the First Street Flood Model to create high resolution fluvial and pluvial flood hazard estimates at national scales.
Introduce innovative methods to improve the flood model performance and assess flood risk at a high spatial resolution.
Manage model production, quality control, and ongoing evaluation/validation efforts.
Identify and develop new data inputs and methodological improvements for inclusion into the First Street Flood Model.
Manage model and data processing workflows both on commercial cloud and on local cluster compute resources.
What you’ll need:
Advanced degree (e.g., M.S. or Ph.D.) in hydraulics or hydrology with equivalent experience in flood modeling
Strong foundation in understanding and modeling hydraulic processes (e.g., channel routing and surface-water hydrodynamics).
Expertise in hydrodynamic modeling using 1D and 2D models (e.g., HEC-RAS) or similar modeling frameworks.
Expertise in fluvial and/or pluvial flooding.
Expertise with big data analysis, large-capacity processing workflows, machine learning, and cloud computing.
Expertise in probability and statistics related to precipitation/flood frequency analysis and extreme values.
Expertise using both compiled and scripted languages (e.g., Python, Matlab, UNIX shell, C++, Fortran, and/or SQL) and GIS software (e.g., QGIS or ArcGIS) to efficiently analyze outputs.
Ability to work in a fast-paced team environment.
What will make you stand out:
Skill/Experience calibrating hydraulic and hydrologic models and quantitatively evaluating their performance.
Skill/Experience modeling coastal flooding and/or compound flooding.
Skill/Experience developing a variety of satellite-based flood inundation maps for validation and calibration.
Experience authoring peer-reviewed scientific publications in areas related to flood modeling or hydraulics.
How we work:
Passion: We are driven by our shared goal to fight climate change
Impact: We only focus on things that move the needle
Urgency: We move quickly because the world depends on it
Positivity: We are optimistic and enthusiastic in all that we do
What we offer:
Competitive salary commensurate with
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