Financial services

Our vision

Data is core business for financial services companies.

Banking, investment and insurance generally have higher data and AI maturity than other sectors. Having made tremendous progress in exploiting and using internal data at scale, these players are now turning to external data, while defining proper data and AI governance in a context of growing regulation (GDPR, Data Act, AI Act). They still face major transformation challenges, for example:

• risk and compliance functions keep improving their processes through better use of data (fraud detection and prevention, operational risk management, responsible and trustworthy AI, Data Act and AI Act, etc.);
• asset managers and investment firms are evolving rapidly thanks to alternative data (prospect identification from company transaction data, selection of investment opportunities, use of satellite data, etc.);
• retail banks are adopting tools and data science models to improve digital sales and offers (next best offer and next best action, churn, scoring, etc.);
• private banks are strengthening KYC through advanced use of data;
• insurers are improving risk estimates with machine learning models that predict risk.

Our offer

Emerton Data supports financial services companies with:

• data and AI strategies to transform a function (e.g. pricing, marketing, claims);
• data platform design and development;
• customer data use cases (marketing mix modelling, scoring, pricing, market watch, KYC, churn, customer lifetime value, etc.);
• efficiency data use cases (claims management, risk management, anti-fraud, etc.);
• sustainability and ESG data use cases;
• responsible AI governance and operating model (strategic approach, organisation, and technical approach to the fairness, robustness and explainability of AI models);
• open data and alternative data approaches.