About the role

Aplyr's Quick Take

This role is for a Senior Weather Analyst/ML Researcher focused on applied research within a commodities trading team. You'll be analyzing weather data using programming skills, particularly in Python, and working on complex problems related to atmospheric predictability and renewable energy forecasting.

Good fit

Ideal candidates are those with a Master's degree in Atmospheric Science or a related field, strong programming skills, and experience in quantitative research. Both early career professionals and experienced academics will find this role suitable.

Worth noting

The position emphasizes collaboration and pushing the boundaries of atmospheric predictability, which may appeal to those looking for innovative challenges. The spec does not detail specific day-to-day tasks, leaving some ambiguity about the daily workflow.

About the Position

We are looking to hire a strongly motivated individual who is excited to work in a fast paced, collaborative environment. We are looking for someone who wants to work on applied research on our weather team, embedded within the commodities trading desk. We invite graduate students nearing graduation, both early career and experienced academics, and industry professionals to apply.

About You

Masters degree (minimum) in Atmospheric Science or related field
Must be a strong programmer, with excellent python skills for data analysis
Expertise in relevant topics such as: sub-seasonal predictability, data assimilation and numerical weather prediction, tropical variability, synoptic meteorology, renewable energy forecasting
Experience using gridded data, observational data and satellite data to drive quantitative research in academia or industry
Experience with AI models preferred
Have good taste in research. The problems you will work on will aim to challenge the limits of atmospheric predictability. You should be comfortable pushing in new and unknown directions while maintaining clarity of purpose
Think and communicate precisely and openly. We believe great solutions come from the interaction between diverse groups of people across the firm
Fluency in English required

If you're a recruiting agency and want to partner with us, please reach out to agency-partnerships@janestreet.com

Skills & Tags

python go ai data

Aplyr's read

Jane Street is a leading quantitative trading firm where tech and finance intersect, attracting analytical minds who thrive in a fast-paced, data-driven environment.
Synthesized from recent postings & public sources

What's promising

•Jane Street offers a highly collaborative environment with a strong focus on mentorship and learning.
•The firm is renowned for its innovative use of technology in trading strategies.
•Competitive compensation packages reflect the high value placed on talent and expertise.

What to watch

•The high-pressure environment may not suit everyone, especially those seeking work-life balance.
•Limited public information about career progression and long-term employee retention.
•The firm's focus on quantitative skills may limit opportunities for those from non-technical backgrounds.

Why Jane Street

•Jane Street's flat organizational structure encourages open communication and idea sharing.
•The firm is known for its rigorous and intellectually challenging interview process.
•Strong emphasis on using cutting-edge technology to drive trading decisions.

Aplyr’s read is generated by AI from public sources. Was it useful?