Modelling Deposit Price Elasticity: What Is It All About?
A price elasticity model enables the product team to set deposit rates with a sound understanding of the expected performance from the rate strategy
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
This Crisis Shows We Need a More Decentralized Banking Market
During the COVID-19 pandemic, we can see that having fewer community banks hurts consumers in critical moments.
Dr. Strangelove or: How Fintechs Will Learn to Stop Worrying and Love Regulation
Over the next decade, the guiding ethos of fintech will evolve beyond 'move fast and break things'.
Solving the “Black Hole Problem” with First-Party Fraud
A conversation with Aite Group's Julie Conroy and Neuro-ID's Jack Alton.
The Future of Customer Acquisition in Financial Services
Financial services providers are under increasing pressure to acquire and retain profitable customers. FICO subject matter experts discuss strategies, tools, and KPIs for success in this lively exchange.
Modeling Deposit Price Elasticity: Where’s the Value?
What should you expect to gain from deposit price elasticity models and what can you do with them to maximize benefit to the business?
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