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For Companies At a Glance
- Tasks: Analyze and manage vast datasets to build data-centric solutions for investment teams.
- Company: Millennium is a leading firm in the commodities sector, known for its innovative approach.
- Benefits: Competitive salary, performance bonuses, and comprehensive benefits package.
- Why this job: Join a dynamic team where your insights directly impact investment strategies and decisions.
- Qualifications: MS or PhD in relevant fields with 2+ years of experience in meteorology and programming.
- Other info: Opportunity to work with cutting-edge technology and collaborate with top professionals.
The predicted salary is between 126000 - 180000 £ per year.
Meteorologist
Millennium is looking for an extremely talented Meteorologist to join one of its Commodities teams in New York. The successful candidate will combine strong technical skills, insights, and statistical techniques to explore, analyze, and harness a large variety of structured and unstructured datasets in order to build data-centric solutions which give teams an edge in their investment process. The candidate must possess the communication skills needed to not only explain sophisticated statistical and technical techniques in clear, simple language but also to listen and understand problems as explained by investment teams in their vernacular.
Principal Responsibilities
- Analyze, manage, and store vast amounts of datasets from market to alternative data vendors.
- Develop high-resolution NWP models such as MPAS and WRF for use across short-term power desks.
- Interface with broader quant team on weather-related projects such as demand and wind generation modeling.
- Communicate and provide data insights to investment teams (portfolio managers and analysts).
- Write code to tag, clean, and normalize large unstructured and structured datasets.
- Back test datasets to assess their correlation to company KPIs.
- Work alongside the data sourcing team to identify new potential data products and vendors.
- Construct visualization dashboards to present key insights.
Qualifications/Skills Required
- MS or PhD degree in Meteorology, Statistics, Computer Science, Applied Mathematics, or related field.
- At least 2+ years of working experience with meteorological variables, concepts, data providers, and industry standard practices.
- At least 2+ years of programming experience in Python.
- Experience with weather data types such as GRIB, NetCDF, and Zarr.
- Proficient in writing SQL queries and hands-on experience with ETL processes.
- Expertise in high-resolution numerical weather prediction modeling and data assimilation; experience with AI/ML techniques is a plus.
- Excellent communicator.
The estimated base salary range for this position is $175,000 to $250,000, which is specific to New York and may change in the future. Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package. When finalizing an offer, we take into consideration an individual’s experience level and the qualifications they bring to the role to formulate a competitive total compensation package.
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Meteorologist employer: Millennium Management, LLC
Contact Detail:
Millennium Management, LLC Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Meteorologist
✨Tip Number 1
Make sure to showcase your technical skills in meteorology and programming during networking events or informational interviews. Connect with professionals in the commodities sector to gain insights into their work and the specific challenges they face.
✨Tip Number 2
Familiarize yourself with the latest trends in numerical weather prediction models and AI/ML techniques. Being able to discuss these topics confidently can set you apart during conversations with potential employers.
✨Tip Number 3
Engage with online communities and forums related to meteorology and data analysis. This can help you stay updated on industry standards and practices, as well as provide opportunities to connect with others who may have leads on job openings.
✨Tip Number 4
Prepare to demonstrate your ability to communicate complex data insights clearly. Practice explaining your past projects or experiences in a way that is accessible to those outside of the technical field, as this skill is crucial for the role.
We think you need these skills to ace Meteorologist
Some tips for your application 🫡
Tailor Your Resume: Make sure to customize your resume to highlight your experience with meteorological variables, programming in Python, and any relevant projects involving data analysis or modeling. Use keywords from the job description to align your skills with what Millennium is looking for.
Craft a Compelling Cover Letter: In your cover letter, explain why you are passionate about meteorology and how your background makes you a perfect fit for the role. Mention specific experiences where you successfully communicated complex data insights to non-technical teams, as this is crucial for the position.
Showcase Technical Skills: Be sure to detail your technical skills, especially your experience with SQL, ETL processes, and high-resolution numerical weather prediction modeling. Provide examples of how you've used these skills in past roles to solve problems or improve processes.
Prepare for Interviews: If selected for an interview, prepare to discuss your technical expertise and how it relates to the investment process. Be ready to explain complex statistical techniques in simple terms, as effective communication is key for this role.
How to prepare for a job interview at Millennium Management, LLC
✨Showcase Your Technical Skills
Be prepared to discuss your experience with meteorological variables and data types like GRIB and NetCDF. Highlight specific projects where you utilized high-resolution NWP models or programming in Python.
✨Communicate Clearly
Since the role requires explaining complex statistical techniques, practice simplifying your explanations. Use analogies or examples that relate to investment teams' vernacular to demonstrate your understanding.
✨Demonstrate Data Management Expertise
Discuss your experience with managing large datasets and ETL processes. Be ready to provide examples of how you've tagged, cleaned, and normalized data in previous roles.
✨Prepare for Problem-Solving Questions
Expect questions that assess your analytical thinking. Prepare to discuss how you would approach a specific weather-related project or challenge, showcasing your ability to interface with quant teams effectively.
