Senior Weather Analyst/ML Researcher
Jane Street Group, LLC - London, England, United Kingdom
Posted Mar 3, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
- Not verified
- Family-building benefits
-
- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
- Not verified
- Relocation assistance
- Not verified
- Childcare support
- Not verified
- Learning budget
- Not verified
- Verification
- Not verified checked Jun 7, 2026
- Salary
- Not verified
- 401(k) match
- Reported from DOL Form 5500 industry filing (not employer-specific)
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Market context
- U.S. role benchmark (BLS OEWS)
- $111,944 U.S. median for this role
- Projected growth (BLS Employment Projections)
- +13.7% - Much faster than average
Matched to SOC 15-1252 - Data and ML aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Role
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Application
- Cover letter
- Not verified
- Assessment
- Not verified
- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Senior Weather Analyst/ML Researcher London, England, United Kingdom 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 [email protected]
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