Natural Language Processing Researcher

Braunford LLP; Greater London; On-site; GBP 70,000 - 90,000; Full time

Benefits offered by this job

Competitive compensation

Annual discretionary bonus

Lunch provided

35 days’ annual leave

9% company pension contributions

Cycle-to-work scheme

Comprehensive healthcare

Job summary

Braunford LLP is seeking a Natural Language Processing (NLP) Researcher to tackle complex quantitative finance problems from our London HQ. You will work with large text corpora and use state-of-the-art NLP techniques to predict future market behavior.

The role requires expertise in NLP, machine learning principles, and strong programming skills in Python. Benefits include competitive compensation, annual bonus, and 35 days’ annual leave.

Qualifications

• Expert knowledge in Natural Language Processing or a related area.
• Familiarity with recent advances in NLP and generative AI.
• Experience with Text Embeddings, Sentiment Analysis, and Named Entity Recognition.

Responsibilities

• Work with large text corpora applying NLP techniques.
• Identify real-time text features predicting future market behavior.
• Implement NLP concepts to real-world financial data.

Skills

Natural Language Processing

Machine Learning

Deep Learning

Python

Problem-Solving

Education

Masters or PhD in NLP or related field

Tools

PyTorch

vLLM

Job description

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.

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