Our typical customer looks like this:

They embrace Python

Customers that have Quant Teams that are increasingly using Python code to manage their modeling

They want efficient decision making

Customers who want to utilize advanced data science techniques including Machine Learning in their Quant departments

They need transparency of modeling

Customers wanting full visibility into their factoring & modeling code

They require an open data architecture

Customers who wish to integrate in-house and vendor content

Customers employing multiple processes or data technologies

They are progressive

Customers who want to incorporate best of breed technology

Does this look like you?

Here are some typical use cases for our solution

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