At a Glance
- Tasks: Explore NLP techniques to predict financial market behaviour using large text corpora.
- Company: Join a leading research team at G-Research in London, tackling complex finance problems.
- Benefits: Competitive pay, 35 days leave, healthcare, and a fun work environment.
- Other info: Enjoy a flexible dress code, cycle-to-work scheme, and monthly company events.
- Why this job: Make an impact in finance with cutting-edge NLP and collaborate with world-class experts.
- Qualifications: Expertise in NLP, strong Python skills, and a passion for machine learning.
The predicted salary is between 36000 - 60000 £ per year.
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.
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 be 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.
Natural Language Processing Researcher employer: G Research
G-Research is an exceptional employer, offering a dynamic work culture in the heart of Westminster, UK, where innovation and security are at the forefront of our mission. Employees benefit from competitive compensation, extensive training opportunities, and a generous 30 days of annual leave, all within a supportive environment that fosters professional growth and collaboration. Join us to tackle exciting security challenges while enjoying comprehensive healthcare benefits and a commitment to your career development.
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We think you need these skills to ace Natural Language Processing Researcher
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