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

JR United Kingdom; City Of London; Hybrid; GBP 80,000 - 100,000; Full time

Job summary

A leading financial technology firm is seeking a highly experienced Lead Expert in Natural Language Processing and Machine Learning to develop innovative sustainability and financial metrics. This role offers the opportunity to work at the intersection of finance and language processing, driving research and product implementations. Candidates should have an advanced degree and strong experience in NLP/ML techniques. Excellent communication skills are essential.

Qualifications

• Extensive experience in applying NLP and ML techniques to real-world problems.
• Deep understanding of state-of-the-art NLP models and architectures.
• Proven ability to translate business requirements into technical solutions.

Responsibilities

• Lead the conceptualization of NLP and ML models for sustainability metrics.
• Collaborate with domain experts to ensure metric relevance.
• Communicate complex methodologies to non-technical audiences.

Skills

Natural Language Processing

Machine Learning

Statistical Analysis

Communication Skills

Education

Advanced degree in Data Science, Computer Science, or related field

Job description

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

Client: Scientific Beta

Location: London (City of London), United Kingdom

Job Category: Other

EU work permit required: Yes

Job Views: 1

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

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 recognised for its commitment to robust empirical research and plays a key role in developing new index methodologies.

About the Role

Scientific Beta is seeking a highly experienced and innovative Lead Expert in Natural Language Processing (NLP) and Machine Learning (ML) to spearhead the development of next-generation sustainability and financial metrics. This is a unique opportunity to leverage cutting-edge language models and insights at the intersection of empirical finance and natural language processing to create decision-relevant metrics that address critical investor needs and enhance our index and data offerings. In partnership with Scientific Beta’s established team in quantitative finance research and its product design teams, you will be instrumental in driving the research, development, validation and product implementation of novel metrics by extracting valuable information from textual data.

Key Responsibilities

• Lead the conceptualization, design, and implementation of NLP and ML models for extracting insights related to sustainability and financial performance from diverse textual sources.
• Develop and apply state-of-the-art language models to extract relevant information and integrate academic insights on the validity of measures.
• Collaborate with Scientific Beta’s domain experts in investment science to ensure the developed metrics are relevant to investment decisions and aligned with economic principles.
• Communicate complex NLP methodologies to non-technical audiences and contribute to Scientific Beta’s research publications (white papers, articles in peer-reviewed journals).
• Keep up to date with recent academic research on state-of-the-art NLP models and their applications to investment decisions.

Your Profile

• Extensive experience in applying Natural Language Processing and Machine Learning techniques to real-world problems.

• Deep understanding of state-of-the-art NLP models and architectures.

• Strong background in statistical analysis and machine learning methodologies.

• Proven ability to translate business requirements into technical solutions and deliver impactful results.

• An interest in learning about financial and investment concepts and in applying statistical analysis to financial data.

• Excellent communication and collaboration skills.

• Experience working with large text datasets in financial applications would be an advantage.

• Advanced degree (MSc. or Ph.D.) in Data Science, Computer Science, Computational Linguistics or a related quantitative field with a focus on NLP/ML techniques.