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Est. Monthly
Estimated €4,900 - €8,047
Posted May 1, 2026 · 114 days agoLast seen August 23, 2026Est. expiry June 5, 2026

Finance Data Scientist

Finance Data Scientist (LLM)
Remote - Global
Remote · Software engineering
Full-time · Mid-Level
English
No degree required
2 years experience
How this salary compares
Salary Context: Finance Data Scientist

Hover or tap a row for full statistics (EUR / month on this chart).

Salary analysis

Compared with the selected benchmark ("All roles in Remote - Global"), this listing's salary midpoint is about 94% lower. The offer sits below the benchmark range (€2,290–€14,470). The listed pay band (€408–€671) is tighter than the benchmark, which suggests lower salary variability. This benchmark is based on 403 comparable listings.

Monthly salary comparison for Finance Data Scientist
MarketLower bound (25th percentile)MedianUpper bound (75th percentile)
All roles in Remote - Global€2,290/per month€6,474/per month€14,470/per month
Pay in our data — not quoted in ad (Mid-Level)€408/per month€539/per month€671/per month
About the role

Looking for a Finance Data Scientist for a discreet fund in the UAE, sitting at the intersection of AI and Investment. This position is dedicated to refining and enhancing outputs from large language models (LLMs) for financial applications, ensuring that the content is accurate, coherent, and logically consistent. Key Responsibilities include overseeing quality control processes for financial content generated by LLMs, creating data pipelines for financial text data, working with algorithm teams to improve model performance, providing domain expertise, developing quality metrics, and engaging in development cycles and knowledge-sharing sessions. Required qualifications include a bachelor’s degree in Finance, Economics, Computer Science, or related discipline, 2+ years of experience in finance or data science firms for finance, strong understanding of macroeconomics, financial markets, and investment principles, experience with Python and data processing libraries, machine learning frameworks, financial data sources, and excellent analytical and communication skills. Preferred qualifications include familiarity with LLM fine-tuning, NLP methods.

Job Details

Education Level

No degree required
Seen 13 hours agoPartial Schema
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Durlston Partners · 105 open roles
Top locations: Remote - Global · 97 · Remote · 4 · Europe · 3+1 other locations
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