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How to Build a Winning Enterprise Fraud Management Strategy

Enterprise fraud management can break down fraud prevention operational silos so that fraud and abuse can be tackled at the customer level, rather than just the account level

What Is PSD3? 4 Ways It Impacts Fraud Prevention

Understand the impact of PSD3 and the key changes it creates for fraud prevention specialists

5 Key Strategies to Prepare for New Fraud Trends

Fraudsters adapt rapidly, always on the lookout for new ways to exploit weaknesses in fraud defences and find new routes to their victims. How can fraud teams respond?

Average FICO® Score in Canada Drops Two Points to 760

Modest reduction in the average FICO® Score in Canada as recent consumer credit trends continue

From Detection to Prevention – Tackling Scams from Every Angle

As real-time payments continue to grow globally, authorized push payment fraud scams follow. making intervention imperative

How to Protect the Underbanked from Fraud and Scams

Traditional fraud protection methods may not be effective in protecting the unbanked and underbanked population - a more careful approach is needed

Lessons Learned from New Scam Regulations in Asia Pacific

Scam regulations in Hong Kong, Singapore and Australia underline the need for action on the part of lenders and telcos

Average Canadian FICO® Score Holds Steady at 762

Monitoring a consumer's FICO® Score helps us understand how we got here and what may lie ahead for the average FICO Score

FICO Score 10, Most Predictive Credit Score in Canadian Market

FICO Score credit risk trends through the COVID-19 pandemic

Explainable Machine Learning for Probability of Default Calculations

How the FICO Platform can enable explainable machine learning models for more effective PD calculations

How Transaction Analytics Transform Lending Speed and Results

Fierce competition, open banking and financial inclusion drive the uptake of transaction analytics in lending

Improving IRB and RWA Calculations with Machine Learning

Through explainable machine learning models, behavioural and PD models for the retail banking sector can be created with higher levels of predictiveness.

Does the EU Framework for Responsible AI Go Far Enough?

Whilst the EU have rightly focused on the use of AI and data science strategic leadership, more needs to be done on AI explainability

How to Rate Trade Credit Risk – Without Much Data

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