Natural Language Processing Researcher

Overview

In this role you will advance NLP research within G-Research’s backtested and live data environment. You will work with a cross-disciplinary team to apply state-of-the-art NLP and LLM techniques to large text corpora, aiming to extract signals that help predict financial market behaviour. The role combines foundational research with real-world finance applications, offering scope to shape techniques and contribute to a high-impact research culture. You will collaborate with expert researchers to push the boundaries of domain-adaptive NLP in finance.

Pay / Benefits

• competitive compensation and discretionary bonus
• lunch provided
• 35 days’ annual leave
• 9% pension contributions
• healthcare and life assurance
• cycle-to-work scheme

Responsibilities

• Apply NLP/ML techniques to very large text corpora and real-time feeds
• Adapt LLMs to domain-specific finance tasks (Domain Adaptive PreTraining, Instruction Fine Tuning, quantisation, LoRA)
• Develop features from text data to predict future market behaviour
• Collaborate with NLP experts and quantitative researchers to advance research goals

Key requirements

• Expert knowledge of NLP or related ML area
• Experience applying ML/DL to NLP tasks (embeddings, sentiment, NER, knowledge graphs, multilingual text, topic extraction)
• Strong problem-solving skills and ability to work independently or in a team
• Strong Python programming and ML libraries (PyTorch, vLLM or similar)
• Master or PhD in NLP or related quantitative field (e.g., ML, CS, math, stats, physics, engineering)
• Publications at NLP/ML conferences desirable
• Interest in applying NLP to real-world financial data and turning theory into code
• Strong written and verbal communication

• strong communication
• team collaboration
• independent work
• Python
• PyTorch
• vLLM

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