Meteorologist

*Flexibility on location - NY, NJ, IL, TX, IN, CN, PA, FL, MA

About Us:
Founded more than 15 years ago and headquartered in Chicago, the DV Group of financial services firms has grown to more than 350 people operating throughout North America and in Europe. Since spinning out of a large brokerage firm in 2016, DV Trading has rapidly scaled as an independent proprietary trading firm utilizing its own capital, trading strategies, and risk management methodologies to provide liquidity to worldwide financial markets and hedging opportunities to commodity producers and users. Now, DV group affiliates include two broker dealers, a cryptocurrency market making firm, and a bourgeoning investment adviser.

DV Energy is a rapidly growing division that specializes in trading crude oil, refined products, natural gas, and related energy markets across US, Europe, and Asia. Our proprietary risk management and trading methodologies along with a strong ability to adapt to changing conditions has allowed DV Energy to grow into one of the largest financial participants within the global energy complex

Overview: DV Energy is seeking an experienced meteorologist with expertise in weather forecasting tailored to supporting trading desks who are actively risk-taking within markets that are significantly impacted by weather variability. Contributions to trading desk activities may include alpha generation coming from proactive forecast-based recommendations, risk mitigation around sudden weather forecast changes or extreme weather events that would impact existing positions, and otherwise active monitoring of weather patterns for their potential influence on pricing outcomes across commodities markets.

Responsibilities:

• Create weather forecasts across regions and timescales as applicable using state-of-the-art techniques
• Process weather and climate data to generate quantitative insight into forecast outcomes/uncertainty
• Communicate expected forecast outcomes + risks to a diverse set of trading teams participating in a wide array of markets
• Develop weather-related quantitative analysis into production software

Requirements:

• A degree in Meteorology or Atmospheric Science or documented relevant experience
• Experience blending an understanding of physical processes in the atmosphere with statistics/machine learning/traditional Numerical Weather Prediction models to generate highly-accurate forecasts
• Expertise in Python
• Experience working with large data in formats specific to meteorology and geospatial disciplines, such as the following:
• Familiarity with reading netCDF and GRIB files is a MUST
• Processing geospatial data (shapefiles, geoTIFF files, etc) is preferred
• Experience with BUFR/Zarr files is an additional benefit
• Experience working with satellite data is an additional benefit
• Experience building and managing a large shared codebase is preferred
• Experience training/deploying AI for applications in weather prediction is a plus
• Strong problem-solving and statistical skills
• The proactive ability to take the lead on assignments and deliver practical research results in a timely manner

Annual compensation range $100K - $200K + discretionary bonus eligibility