Lead Expert - Natural Language Processing and Machine Learning for Investment Metrics (Nice/FR [...]

Lead Expert - Natural Language Processing and Machine Learning for Investment Metrics (Nice/FR or London/UK), Slough

Client: Scientific Beta

Location: Slough, United Kingdom

Job Category: Other

EU work permit required: Yes

Job Views: 2

Posted: 22.08.2025

Expiry Date: 06.10.2025

Job Description:

We're Hiring: Lead Expert - NLP & Machine Learning for Investment Metrics

Location: Nice (France) or London (UK)

Company: Scientific Beta

About Us

A subsidiary of SGX Group, Scientific Beta is a leading provider of enhanced systematic equity strategies grounded in rigorous research. Its evidence-based indices integrating sustainability and financial goals enable global investors to make well-informed portfolio decisions as they navigate complex and evolving markets. Scientific Beta’s research team is recognized for its commitment to empirical research and developing new index methodologies.

About the Role

Scientific Beta is seeking a highly experienced Lead Expert in Natural Language Processing (NLP) and Machine Learning (ML) to develop next-generation sustainability and financial metrics. This role involves leveraging language models and insights at the intersection of finance and NLP to create decision-relevant metrics, extracting valuable information from textual data, and collaborating with research and product teams to implement these metrics.

Key Responsibilities

• Lead the development of NLP and ML models to extract insights on sustainability and financial performance from textual sources.
• Apply state-of-the-art language models and integrate academic insights on measure validity.
• Collaborate with investment science experts to ensure relevance of metrics to investment decisions.
• Communicate NLP methodologies to non-technical audiences and contribute to research publications.
• Stay updated on recent academic research in NLP and its applications to finance.

Your Profile

• Extensive experience applying NLP and ML techniques to real-world problems.
• Deep understanding of current NLP models and architectures.
• Strong background in statistical analysis and machine learning methodologies.
• Ability to translate business needs into technical solutions.
• Interest in financial concepts and applying statistical analysis to financial data.
• Excellent communication and collaboration skills.
• Experience with large financial text datasets is advantageous.
• Advanced degree (MSc or Ph.D.) in Data Science, Computer Science, Computational Linguistics, or related fields with a focus on NLP/ML.

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