UNSTRUCTURED MARKET CONVERSATIONSARE HARD TO DECIPHER
There’s nothing more frustrating than missing a trade, especially when the clues are all there in your client interactions.
With markets constantly changing, it’s near impossible to capture all the information being circulated in unstructured conversations between and around actual trades. And with every blotter an island, how do you utilise a conversation in Germany for a trade being negotiated in New York?
For compliance teams, accurate and timely record keeping is even more critical. Manual entry of trade information is a waste of valuable time and mistakes can be costly – with over $2bn worth of fines having been issued over the last 2 years!
Expansive data lakes are held back by large swathes of unstructured data that is unusable by data analytics teams. Today’s impressive quantitative models cannot take advantage of the insights communicated in conversations until they are made available in structured form at scale.
SENSE STREET'S PROPRIETARYMODELS CAN HELP YOU FINDTHAT NEXT TRADE
Sense Street’s advanced natural language modelling goes way beyond just scraping data.
Our proprietary models have been conditioned to the capital markets over 4 years of development.
Our linguists, data scientists, and domain experts collaborate to create a clean, uniquely annotated dataset that empowers our models to learn and perform at a high standard you can trust.
These datasets are then used to train a general industry model that is superior to anything that could be built at a single institution.
MULTIPLE ASSET CLASSES
Scale across all OTC markets.
CROSS-SELLING OPPORTUNITIES
Maintain a holistic view across traders and asset classes, enabling you to see cross-selling opportunities that were previously invisible.
MULTIPLE LANGUAGES
Engage with multiple European languages to access coverage across a broader range of trades.
SOURCE LIQUIDITY
Maximise available liquidity by having a view of trades that haven’t happened yet.
CLIENT INTEREST
Capture the full range of client intent including missed trades.
CLIENT RELATIONSHIPS
Identify and analyse strategic client relationships.
REGULATORY COMPLIANCE
Extract interactions required by regulators.
AUTOMATION
Automate pesky sales-trader workflows.
SENSE STREET'S PROPRIETARYMODELS CAN HELP YOU FINDTHAT NEXT TRADE
Sense Street’s advanced natural language modelling goes way beyond just scraping data.
Our proprietary models have been conditioned to the capital markets over 4 years of development.
Our linguists, data scientists, and domain experts collaborate to create a clean, uniquely annotated dataset that empowers our models to learn and perform at a high standard you can trust.
These datasets are then used to train a general industry model that is superior to anything that could be built at a single institution.
MULTIPLE ASSET CLASSES
Scale across all OTC markets.
CROSS-SELLING OPPORTUNITIES
Maintain a holistic view across traders and asset classes, enabling you to see cross-selling opportunities that were previously invisible.
MULTIPLE LANGUAGES
Engage with multiple European languages to access coverage across a broader range of trades.
SOURCE LIQUIDITY
Maximise available liquidity by having a view of trades that haven’t happened yet.
CLIENT INTEREST
Capture the full range of client intent including missed trades.
CLIENT RELATIONSHIPS
Identify and analyse strategic client relationships.
REGULATORY COMPLIANCE
Extract interactions required by regulators.
AUTOMATION
Automate pesky sales-trader workflows.
SECURE, SCALABLE ENTERPRISE ARCHITECTURE
Sense Street’s processes and systems have been carefully constructed to resolve the information security concerns of our clients.
SCALABLE AI
Our models are trained in a federated manner from industry wide datasets guaranteeing high generalization.
