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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
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Family-building benefits
  • Fertility benefits: Not verified
  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
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Relocation assistance
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Childcare support
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Learning budget
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Verification
Not verified checked Jun 7, 2026
Salary
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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

Role function
Data From the posting source checked Jun 20, 2026
Seniority
Senior From the posting source checked Jun 20, 2026

Schedule

Shift type
Not verified
Weekend work
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Application

Cover letter
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Assessment
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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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