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- Tasks: Analyze and manage vast datasets to build data-centric solutions for investment teams.
- Company: Millennium is a leading investment firm focused on leveraging data for strategic advantages.
- Benefits: Enjoy a collaborative environment with opportunities for professional growth and cutting-edge technology.
- Why this job: Join a dynamic team where your insights directly impact investment strategies and decision-making.
- Qualifications: MS or PhD in relevant fields with 2+ years of experience in meteorology and programming.
- Other info: Ideal for tech-savvy individuals passionate about weather data and its applications in finance.
The predicted salary is between 36000 - 60000 £ per year.
Meteorologist Millennium is looking for an extremely talented Meteorologist to join the team. 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 that give teams an edge in their investment process. The candidate must possess the communication skills needed to explain sophisticated statistical and technical techniques in clear, simple language, as well as 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 the 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.
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Meteorologist employer: Millennium Capital Partners LLP
Contact Detail:
Millennium Capital Partners LLP 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. Engage with professionals in the field and discuss your experience with datasets and modeling techniques. This can help you build connections that may lead to job opportunities.
✨Tip Number 2
Join relevant online forums or communities focused on meteorology and data science. Participate in discussions, share your insights, and ask questions. This will not only enhance your knowledge but also increase your visibility among potential employers.
✨Tip Number 3
Attend industry conferences or workshops related to meteorology and data analytics. These events are great for learning about the latest trends and technologies, and they often provide opportunities to meet hiring managers and recruiters from companies like Millennium.
✨Tip Number 4
Consider creating a portfolio that showcases your projects involving high-resolution NWP models and data visualization. Having tangible examples of your work can set you apart during interviews and demonstrate your practical skills to potential employers.
We think you need these skills to ace Meteorologist
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Meteorologist position. Understand the key responsibilities and qualifications required, so you can tailor your application accordingly.
Highlight Relevant Experience: In your CV and cover letter, emphasize your experience with meteorological variables, programming in Python, and any relevant projects you've worked on. Be specific about your contributions and the impact of your work.
Showcase Communication Skills: Since the role requires excellent communication skills, provide examples in your application where you've successfully explained complex technical concepts to non-technical audiences. This could be through previous job experiences or academic presentations.
Tailor Your Application: Customize your cover letter to reflect your passion for meteorology and data analysis. Mention why you're interested in working with Millennium and how your skills align with their goals in investment processes.
How to prepare for a job interview at Millennium Capital Partners LLP
✨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 Python for data analysis or modeling, as this will demonstrate your technical proficiency.
✨Communicate Clearly
Since the role requires explaining complex statistical techniques in simple terms, practice articulating your past experiences in a way that is easy to understand. Use analogies or examples that relate to investment teams' vernacular to make your points resonate.
✨Demonstrate Problem-Solving Skills
Prepare to discuss how you've tackled challenges in previous roles, especially those involving large datasets or weather-related projects. Be ready to explain your thought process and the steps you took to arrive at a solution.
✨Familiarize Yourself with Visualization Tools
Since constructing visualization dashboards is part of the job, be ready to talk about any tools or libraries you've used for data visualization. If possible, bring examples of your work to showcase your ability to present key insights effectively.
