Director of Hydrology
First Street Foundation
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See open jobs at First Street Foundation.See open jobs similar to "Director of Hydrology" Fast Forward.New York, NY, USA
Posted on Sep 22, 2024
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:
Come join us and use your talents to create solutions to address humanity's biggest problem.
Team & Role Overview:
We are looking for a Hydrologic Scientist with a specialization in flood modeling to join our team. This person will need to have several years of postdoctoral or professional experience and the ability to lead projects and people.
What you’ll do:
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
Come join us and use your talents to create solutions to address humanity's biggest problem.
Team & Role Overview:
We are looking for a Hydrologic Scientist with a specialization in flood modeling to join our team. This person will need to have several years of postdoctoral or professional experience and the ability to lead projects and 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.
- Experience leading projects or teams in developing flood models or components thereof
- Experience in implementing hydrologic models in production environments
- Advanced degree (e.g., M.S. or Ph.D.) in hydrology, hydrologic sciences or engineering with 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 simulations
- 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.
- Experience writing or improving flood model and/or modules
- Skill/Experience calibrating and validating 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.
- Drive: We are driven by the role we play in connecting climate change to financial risk
- Impact: We only focus on things that move the needle
- Urgency: We move quickly because the world depends on it
- Resilience: We have a growth mindset in all that we do
- Competitive salary commensurate with experience
- Ownership interest in the company via Employee Stock Option Plan
- Hybrid Schedule with in-office work days on Monday, Wednesday and Thursday
- 15 vacation days along with 13 company holidays and 10 sick days
- Health benefits covered at 100% for employee or a significant contribution for family plans
- Vision and dental benefits with partial employee contribution
- 12 weeks of paid parental leave
- Access to One Medical, Teledoc, HealthAdvocate, Kindbody, and Talkspace
- Company 401k program
- Commuter benefits
- Life Insurance
- Tech startup environment
- Weekly team meals and an office stocked with coffee and snacks
- Working on the world’s biggest issue with other passionate professionals
This job is no longer accepting applications
See open jobs at First Street Foundation.See open jobs similar to "Director of Hydrology" Fast Forward.