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Sense Street
Natural language understanding systems
- 21-100 employees
- B2B
- Machine Learning
- Capital Markets
- City of London, London, UK
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Company mission
To help investment banks and asset managers have better, more efficient conversations.
Few candidates hear
back within 2 weeks
Our take
Natural language processing (NLP) algorithms define the ability of computers to understand and manipulate human language as data. Sense Street’s NLP understands the complex jargon used in capital markets enabling extraction of information from across the life cycle of a trade and deploying bleeding-edge computer science research to trading desks.
Through its partnerships with global banks, Sense Street has access to datasets that have not been made available in the past. This has enabled the company to create language models that change unstructured market conversations into a fine-grained understanding of liquidity in OTC capital markets.
Whilst language modeling has improved dramatically in recent years, Sense Street is unique in developing its proprietary pipeline to be suited to the investment banking community. The company has an experienced team and is backed by professionals with 40 years of experience spanning trading, quantitative research, and emerging technologies.
Freddie
Company Specialist at Welcome to the Jungle
Benefits
- Highly skilled team, flat hierarchy, and opportunities for mentorship
- Ability to heavily influence platform and culture from an early phase
- Flexible working, central London location, company share option scheme
- Budget/time for books, training and attending conferences/hackathons
Funding (1 round)
Oct 2020
$0.8m
SEED
Total funding: $0.8m
This company has top investors
Leadership
Haroon Hassan
(CEO)Extensive experience working on bond trading desks in Europe and the US as a Trader and Research Analyst at Credit Suisse, Barclays, and MUFG Securities.