Natural Language Processing Researcher

Natural Language Processing (NLP) Researcher

We tackle the most complex problems in quantitative finance, bringing scientific clarity to financial complexity from our London HQ.

The role involves working with very large text corpora, applying the latest NLP techniques and state‑of‑the‑art Large Language Models to identify real‑time text features that predict future market behaviour.

Qualifications

• Expert knowledge of Natural Language Processing or a related area of machine learning, via academic or industry experience (or both).
• Familiarity with recent advances in NLP and generative AI, including adapting LLMs to domain‑specific tasks such as Domain Adaptive Pre‑Training, Instruction Fine‑Tuning, quantisation and Low‑Rank Adaptation.
• Experience applying machine learning and deep learning methods to NLP tasks such as Text Embeddings, Sentiment Analysis, Named Entity Recognition, Knowledge Graphs, Multilingual Text and Topic Extraction.
• Demonstrated research excellence and a strong understanding of machine learning principles, algorithms and statistical methods.
• Excellent problem‑solving skills and the ability to work independently and as part of a team.
• Strong programming skills in Python and experience with ML libraries such as PyTorch or vLLM.
• Working towards or holding a Masters or PhD in NLP or a related quantitative field (machine learning, computer science, mathematics, statistics, physics or engineering).
• Publications at leading NLP conferences (ACL, EMNLP) and ML conferences (NeurIPS, ICML) are highly desirable.
• Interest in applying NLP concepts to real‑world financial data and implementing theoretical insights as working code.
• Strong communication skills, both written and verbal, are a plus.
• Previous financial experience is not required; interest in finance and a rapid learning mindset are prerequisite.

Benefits

• Highly competitive compensation plus annual discretionary bonus.
• Lunch provided (via Just Eat for Business) and dedicated barista bar.
• 35 days’ annual leave.
• 9% company pension contributions.
• Informal dress code and excellent work/life balance.
• Comprehensive healthcare and life assurance.
• Cycle‑to‑work scheme.
• Monthly company events.

G‑Research is committed to cultivating and preserving an inclusive work environment. If you have a disability or special need that requires accommodation, please let us know in the relevant section.

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