Natural Language Processing Researcher
Natural Language Processing Researcher
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Job Description
Do you want to tackle the biggest questions in finance with near infinite compute power at your fingertips
GResearch is a leading quantitative research and technology firm with offices in London and Dallas. We are proud to employ some of the best people in their field and to nurture their talent in a dynamic flexible and highly stimulating culture where worldbeating ideas are cultivated and rewarded.
This role is based in our new Soho Place office opened in 2023 in the heart of Central London and home to our Research Lab.
The role
GResearch 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 domainspecific 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 NLPrelated 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 problemsolving 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
- Cycletowork scheme
- Monthly company events
GResearch is committed to cultivating and preserving an inclusive work environment. We are an ideasdriven business and we place great value on diversity of experience and opinions.
We want to ensure that applicants receive a recruitment experience that enables them to perform at their best. If you have a disability or special need that requires accommodation please let us know in the relevant section
Employment Type
Full-Time
