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Scientific Beta

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

London Full-Time 43200 - 72000 £ / year (est.) No home office possible

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At a Glance

Tasks: Lead the development of innovative NLP and ML metrics for investment decisions.
Company: Join Scientific Beta, a top provider of systematic equity strategies and sustainable finance solutions.
Benefits: Enjoy flexible part-time work and collaborate with leading experts in finance and technology.
Why this job: Make a real impact by merging finance with cutting-edge AI technology in a dynamic research environment.
Qualifications: Advanced degree in Data Science or related field; experience in NLP and ML is essential.
Other info: Opportunity to publish research and communicate complex ideas to diverse audiences.

The predicted salary is between 43200 - 72000 £ per year.

Lead Expert – Natural Language Processing and Machine Learning for Investment Metrics

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We\’re Hiring: Lead Expert – NLP & Machine Learning for Investment Metrics

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.

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).
Keeping up to date with recent academic research on state-of-the-art NLP models and their applications to investment decisions.

• 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.

Seniority level

Seniority level

Associate

Employment type

Employment type

Part-time

Job function

Job function

Research

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