We tackle the most complex problems in quantitative finance, by bringing scientific clarity to financial complexity.
From our London HQ, we unite world-class researchers and engineers in an environment that values deep exploration and methodical execution - because the best ideas take time to evolve. Together we’re building a world-class platform to amplify our teams’ most powerful ideas.
Join a research team where curiosity meets scale. You’ll investigate foundational questions, uncover market insights and push the boundaries of what's possible - all with the support of near-limitless compute and world-class peers.
Take the next step in your career.
The role
G-Research is seeking a Natural Language Processing (NLP) Researcher to join a successful, experienced and growing research group.
Alongside NLP experts and quantitative researchers, you will work on very large text corpora, using the latest NLP techniques and state of the art Large Language Models (LLM), with the goal of identifying features of real time text feeds that can we used to predict the future behaviour of financial markets.
Who are we looking for?
The ideal candidate will have the following skills and experience:
- Expert knowledge of Natural Language Processing or a related area of machine learning, through academic or industry experience (or both)
- Familiarity with the many recent, exciting advances in NLP and generative AI, in particular adapting LLMs to domain-specific tasks, such as Domain Adaptive PreTraining, Instruction Fine Tuning, quantisation and Low Rank Adaptation
- Experience applying machine learning and deep learning methods to a range of NLP-related tasks, such as Text Embeddings, Sentiment Analysis, Named Entity Recognition, Knowledge Graphs, Multilingual Text and Topic Extraction
- A proven track record of research excellence and a deep understanding of machine learning principles, algorithms and statistical methods.
- Excellent problem-solving skills and the ability to work both independently and as part of a team.
- Strong programming skills in Python and experience with machine learning libraries such as PyTorch, vLLM or similar are a prerequisite
- You will have, or be working towards gaining, a Masters or PhD degree in NLP or a related quantitative subject, such as machine learning, computer science, mathematics, statistics, physics or engineering
- Publication at leading NLP conferences such as ACL and EMNLP, and ML conferences, such as NeurIPS and ICML, are highly desirable
- An 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, although interest in finance and the motivation to rapidly learn more is a prerequisite for working here
Why should you apply?
- 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
