Braunford LLP

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.

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.

Braunford LLP based in Greater London is seeking a Researcher in Machine Learning to join their dynamic team. The role involves developing and testing innovative machine learning algorithms using real-world data, with a focus on tackling complex quantitative finance problems. Candidates should have a post-graduate degree in machine learning or related fields, exceptional programming skills in Python, and a proven success record in data science competitions. The position offers competitive compensation, annual leave, and various perks such as lunches and a strong work-life balance.

We tackle the most complex problems in quantitative finance from our London HQ, uniting 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 - Our researchers aim to disprove the efficient market hypothesis every day, harnessing massive compute power and state of the art ML techniques published in recent conferences or developed entirely in house. ML is integral to develop successful investment management strategies and is a core driver of our overall performance and success. Our ML practitioners have huge amounts of clean data and near infinite compute at their fingertips; they're incentivised to explore the cutting edge and find the 1% difference. Unlike pure problems, our researchers get near instantaneous feedback in the form of absolute numbers where success is highly measurable and has a direct impact on the business. As a team we read the latest publications in the field, discuss them within our vibrant, collaborative research community, and attend leading conferences worldwide, such as NeurIPS and ICML. In this research role you will develop and test your ideas with real world data in an academic environment. Qualifications Either a post graduate degree in machine learning or a related discipline, or commercial experience developing novel machine learning algorithms. Exceptional candidates with a proven record of success in online data science competitions, such as Kaggle. Experience in deep learning, reinforcement learning, non convex optimisation, Bayesian non parametrics, NLP or approximate inference. Excellent reasoning skills and mathematical ability. Strong programming skills and experience working with Python, Scikit Learn, SciPy, NumPy, Pandas and Jupyter Notebooks; experience with object oriented programming is beneficial. Publications at top conferences, such as NeurIPS, ICML or ICLR, are highly desirable. 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. G Research is committed to cultivating and preserving an inclusive work environment. 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.