Accelerating business growth through data driven decision making, operational efficiency and customer engagement
Due to the sheer volume of data the financial services sector generates from customers, transactions, global trading, and many other sources, it is currently one of the most risk laden sectors.
This has put the FS sector under increased scruitiny from regulatory bodies to remain compliant, resulting in the on-going pressure for effective information governance.
But this has also created an opportunity to improve competiveness and drive business growth. The sector has continued to use data to detect and manage the increase in fraud and financial crime, develop competitive pricing, manage risk & compliance as well as make strategic business decisions. But now, the shift has also moved towards innovation, and data is being leveraged to develop new and personalised products and services via better customer segmentation and analysis.
Ultimately, competitiveness and revenue growth can only be achieved by maximising your opportunities in all of these areas.
Returning for its 6th year, Big Data & Analytics Financial Services has established itself as the must-attend annual forum for big data professionals, and will continue to deliver the industry-leading insight, proven case studies and the opportunity to network with the most innovative players in this space
Key Speakers Include
Director, Head of Fraud Strategy & Analysis
Fraud Data Analysis Manager
Global Head Financial Crime Risk Technology Strategy
Head of Data Strategy and Advanced Analytics
Director of Analytics
General Manager of Banking
Head of Financial Crime & MLRO
Director, Customer Analytics and Data Science
Strategic Data Management Director
Global Head of Artificial Intelligence
Financial Services Data Management Professional
Head of Data and Systems
Head of Dynamic Underwriting and Pricing
Head of Innovation, Financial Crime Intelligence & Analytics
Bank of England
Improve competitiveness, increase revenue and drive down costs by learning how to:
Create new business opportunities, develop new products and drive innovation
Balance strategy with daily management responsibilities to help you manage time effectively
Detect and manage fraud effectively through machine learning and adaptive models
Develop a personalised pricing model to maximize profitability and improve customer experience
Leverage AI, Machine Learning and Robotic Process Automation to drive down and optimise processes
Drive customer loyalty and increase spending through customer and behavioural analytics
Who should attend
Private Investment Management