Application of Machine Learning Algorithms to Credit Scoring

Pedro Fonseca, CEO & Head of Data Science @ James by CrowdProcess participates in Risk Roundup

November 21, 2016

For Immediate Press Release

Pedro Fonseca, CEO & Head of Data Science @ James by CrowdProcess participates in Risk Roundup to discuss “Application of Machine Learning Algorithms to Credit Scoring”.

Pedro is currently working on James, CrowdProcess’ flagship product in the Financial Industry, for the credit risk space. (http://www.james.finance/). CrowdProcess is a data science company, in the credit risk space. It has recently been considered the Best European Fintech at the prestigious Money2020 conference, for its risk product: James. The company’s flagship product, James, is a software for risk departments to build in-house scoring models using machine learning. James combines advanced scientific computing and machine learning algorithms with a business-friendly interface, specifically designed for the risk officers of mid-tier banks and credit institutions. It allows risk officers to build, test and validate credit scoring models, and comes equipped with the best Machine Learning algorithms, techniques and validation methods.

This episode of Risk Roundup is focused on addressing the “Application of Machine Learning Algorithms to Credit Scoring”. Pedro Fonseca provided very thoughtful insight on the current state of Machine Learning for the Financial Industry, especially Credit Scoring. His participation in Risk Roundup and the information he shared will provide a good understanding of the technology advances coming our way due to advances in Machine Learning and its associated security challenges.

Each individual and entity across nations: its government, industries, organizations and academia (NGIOA) will face complex challenges in their desire to have a safe, secure and sustainable global systems and society. The episode of Risk Roundup, “Application of Machine Learning Algorithms to Credit Scoring” addresses those complex challenges and risks, and will be released on social media on the following dates:

  • Risk Roundup: “Application of Machine Learning Algorithms to Credit Scoring”- Webcast will be released on Sunday, December 11th 2016 on Social Media.
  • Risk Roundup: “Application of Machine Learning Algorithms to Credit Scoring” – Podcast will be released on Tuesday, December 13th 2016 on Social Media.

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About Risk Roundup:
Risk Roundup, a global initiative launched by Risk Group, is an integrated cyberspace, geospace, and space (CGS) strategic security risk dialogue for individuals and entities across nations: its government, industries, organizations and academia (NGIOA).
About Risk Group:
Risk Group is a strategic security risk research organization. Its vision is to drive the thought leadership on “Strategic Security Risk Intelligence”! As security risks from cyberspace, geospace and space merge and converge; strategic security risk intelligence has never been more important for individuals and entities across nations: its government, industries, organizations and academia (NGIOA) than it is now in a digital global age. Despite the inter-connectedness and inter-dependencies between cyberspace, geospace and space (CGS), nations approach so far on how best to address issues of security risk intelligence in this complex CGS ecosystem has been drawn-out, confusing and inconclusive. While “strategic security risk intelligence” depends on security risk information from cyberspace, geospace and space, the true sign of strategic security risk intelligence is not information about risks from cyberspace, geospace and space, but imagination about its impact to individuals and entities across nations: its government, industries, organization and academia (NGIOA). Risk Group will collect CGS risk data, evaluate the security risks and opportunities inherent in CGS trends, and provide a series of risk scenarios that would help NGIOA decision makers make contingency and strategic plans, such that no matter what future arrives, they will thrive.
Risk Group Philosophy:
Risk Group believes that risk management, security and peace walk together hand in hand. Though security is related to management of threats and peace to the management of conflict, risk management is related to management of security vulnerabilities as well as management of conflict, and it is not possible to conceive any one of the three without the existence of the other two. All three concepts feed into each other. Risk Group believes that the security we build for ourselves is precarious and uncertain until it is secured for everyone across nations. Tradition becomes our security-so if we build a culture of managing risks effectively it will lead us to security and security will lead us to peace!
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