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StratLytics supports banks and financial institutions with domain-first analytics, AI, and model governance to improve risk, compliance, and customer outcomes.
Banking and financial services face growing pressure from regulation, competition, and digital change. Data and analytics are central to credit risk, fraud, AML, and customer engagement. StratLytics helps institutions deploy analytics and AI with clear model governance and regulatory alignment.
Key challenges include fragmented data, legacy systems, model risk and validation requirements, regulatory reporting, and the need to balance innovation with compliance. Many teams lack the in-house capability to scale analytics and AI safely.
We deliver consulting and solutions for credit risk modelling, collections and recovery analytics, customer analytics and personalisation, fraud and AML, and model governance. We work with your risk and compliance teams so that models are documented, validated, and maintainable.
We start by understanding your objectives, data landscape, and governance framework. We then design and deliver analytics and AI use cases in phases, with clear deliverables and handover. We support model documentation, validation support, and ongoing governance so your teams can own and evolve solutions.
Sample use cases include: acquisition and underwriting scorecards; behavioural scoring and early delinquency prediction; collections and recovery optimisation; fraud and AML detection; customer segmentation and next-best-action; model risk management and validation support; regulatory reporting and stress testing.
We combine domain experience in banking and financial services with strong analytics, AI, and model governance practice. We focus on measurable outcomes, regulatory alignment, and transfer of capability to your teams.
Discuss your requirements with our team.