Ideal Candidate Profile
We are in search of an ideal candidate who on a contract or permanent base, located in the UK.
- Possesses expertise in Natural Language Processing, gained through a blend of academic excellence and practical industry experience.
- Will join a dedicated team of quantitative researchers working extensively with large text-based datasets. Your mission: applying state-of-the-art techniques for entity recognition and sentiment analysis, with the ultimate goal of identifying real-time text feed features that hold predictive power for financial market behavior.
- Takes an active role in the development and enhancement of our NLP pipeline.
- Demonstrates a genuine interest in applying mathematical concepts to real-world financial challenges and translating theoretical insights into practical, functional code.
- Holds or is actively pursuing a Master’s or PhD degree in a highly quantitative field, such as mathematics, statistics, computer science, physics, or engineering. Candidates with a specialization in NLP for their PhD are of particular interest.
- Boasts a track record of publications at prominent NLP conferences like NIPS, ICML, NLP, and ACL, which would be considered a distinct advantage.
While previous financial experience is not obligatory, a sincere interest in the world of finance and a commitment to rapidly acquire domain knowledge are essential prerequisites for a successful tenure with us.