In the digital-first world of fintech & banking, compliance teams can sometimes find themselves answering as much to growth and customer acquisition leaders as they do to their financial crime organizations — they need laser sharp accuracy in KYC and Watchlist tools without introducing more friction for customers or costly reviews for their operations teams.
The solution to this challenge lies in the use of more data and advanced analytics for both KYC and Global Watchlist strategies, but these kinds of innovations may also raise concerns among regulators.
In this webinar, Aite Analyst Charles Subrt will present research from his recent AML innovation research and Socure Product Manager Joshua Linn will address what it takes to integrate more data and intelligence into KYC.
Topics will include:
In the COVID-19 era, banks and fintechs face a sharp uptick in fraud attacks directly correlated to severe market retraction, radical unemployment rates and a spate of new vectors linked to relief programs.
In this webinar, join Socure’s Head Data Scientist Pablo Abreu and Co-Founder & SVP of Sales Johnny Ayers as they dig into fraud trend data from across a wide consortium of banks and fintechs, revealing attack patterns specific to financial service products and market segments.
Topics covered include:
Early data shows an uptick in digital lending fraud. Banks and fintechs are racing to set up the infrastructure to handle an unprecedented volume of stimulus plan lending. Among the many concerns are ensuring identity verification and fraud prevention in uncharted territory.
In this webinar, we will address identity, fraud and KYC compliance strategies to allow banks and fintechs to move as quickly and safely as possible to meet the urgent needs of small businesses.
We’ll also explore how lessons learned from PPP lending will forever impact digital loan practices.
In this webinar, Socure Privacy & Compliance Officer Annie Bai, Socure Product Director Gene Radin, and Socure VP of Marketing Rivka Little explore the demand CCPA places on identity verification and how leveraging advanced analytics and data science methods along with digital document verification can enable a safe road to CCPA compliance.
In this webinar we’ll discuss:
Feature Engineering is what separates good machine learning outcomes from great machine learning outcomes. Part art and part science, feature engineering combines domain expertise with data science acumen to transform raw data into the variables that drive machine learning models.
In this second webinar in our six-part series, Socure’s VP Data Science, Pablo Abreu, discusses the methods used in feature engineering to go from raw data (discussed here Data Exploration - Improving the Foundation) to highly predictive features. More specifically, Pablo will share the approach
In this webinar, Pablo will share:
In this first of six webinars, Pablo starts at the beginning and discusses different methods for data exploration. As the goal of data science is to extract knowledge and insights from data, it makes sense that we start with data and explain the process used for the initial analysis of data.
In this on-demand webinar, Pablo shares: