Mission Quantifind helps some of the world’s biggest banks catch money laundering and fraud. Quantifind also works with government agencies, using the same platform, to uncover criminal networks and combat election tampering. Unlike other players in this space, Quantifind delivers results as software-as-a-service (SaaS) with consumer-grade user experiences.
Description Quantifind is a data science technology company whose AI platform uncovers signals of risk across disparate and unstructured text sources. In financial crimes risk management, Quantifind’s solution uniquely combines internal financial institution data with public domain data to assess risk in the context of Know Your Customer (KYC), Customer Due Diligence (CDD), Fraud Risk Management, and Anti-Money Laundering (AML) processes. Today these compliance processes are burdened by ever-increasing regulatory responsibilities and an expectation of frictionless transactions. Legacy technologies demand increasingly more human resources as the operations expand; Quantifind’s solution offers a way to cut through the inefficiency and enhance effectiveness simultaneously. Founded by two PhD’s in atomic physics, the company has offices in Silicon Valley, New York, and DC.
Quantifind has an employee rating of 4.2 out of 5 stars, based on 45 company reviews on Glassdoor which indicates that most employees have an excellent working experience there. The Quantifind employee rating is in line with the average (within 1 standard deviation) for employers within the Information Technology industry (3.9 stars).
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Overall, 75% of employees would recommend working at Quantifind to a friend. This is based on 45 anonymously submitted reviews on Glassdoor.
68% of job seekers rate their interview experience at Quantifind as positive. Candidates give an average difficulty score of 3.2 out of 5 (where 5 is the highest level of difficulty) for their job interview at Quantifind.