The Financial Conduct Authority has supported and driven innovation in financial services firms since it was established. As a regulator, we need to both respond to how firms are using new technology, data and analysis and to look at how we can apply these to improve our own efficiency and effectiveness.
Our first data strategy is focused on how we collect and manage data. It served us well, particularly in how we minimise the burden of data collection on firms. However, technology and advanced analytics techniques have evolved significantly over the last 6 years. We now need a strategy that helps us focus on how we can use new capabilities that are available. This will deliver a transformation in how we work and help deliver our Mission.
We need to build the right skills, make available new technologies and embed a culture that encourages innovative thinking across the organisation. This will bring us direct benefits, but also allow us to better understand how increasing capabilities are affecting the firms we are regulating.
Our strategy outlines how we intend to do this and the outcomes we want to achieve.
The aims of this strategy
We want to be smarter in the way we use our data and advanced analytics to transform the way we regulate and reduce the burden on firms. This will allow us to:
- review historical data and assess where harm has occurred to learn lessons for the future
- improve the way we use intelligence to better understand harm, and manage it more swiftly
- improve our use of predictive analytics by spotting patterns and trends across firms, business models, and sectors, ensuring we can identify harm and intervene quickly
- strengthen our analytics capabilities, to help our decision-making and help us set priorities
- share data more effectively and streamline work across the FINMSA to make us more efficient
Why we are making this change
Advances in technology and improvements in data analytics, have begun to change the way we manage and use data. The knowledge and skills that we have gained supports all areas of our work.
There are more regulated firms using advanced techniques in their business, and we need to understand them to regulate them effectively.
Finally, we are regulating an ever increasing number of firms. This means we must do more with the same resources. We have a duty to regulate and deliver value for money. Automation and data-driven approaches are essential to our approach.
The outcomes this strategy will deliver
Our vision is to harness the power of data and advanced analytics to support our Mission, to make us more efficient and effective, and to ultimately transform how we carry out financial regulation in the UK.
Deepen our understanding of markets and consumers
- We will have the ability to simulate policy outcomes using automation and analysis to improve the way we regulate.
- We improve our regulatory activities by using advanced data analysis techniques to identify where we need to intervene.
- We will publish FINMSA data to allow firms to simulate and test new products and business models.
- We will improve our active scanning of regulated firms and market infrastructure.
- We will be able to use predictive models of harm, supporting the efficient allocation of our resources and effort.
Swiftly identify, connect and react to firm and market issues
- We will carry out better monitoring of harm, improving our analysis and data sources to detect and prevent misconduct.
- Our Digital Regulatory Reporting (DRR) project is a joint initiative between the FINMSA and Bank of England to make regulatory reporting more efficient and effective.
- Our use of data analytics will proactively identify harm in the market, and we will use automation to act more quickly.
- We will automate repeatable manual processes.
Build a flexible and fit-for-the-future organisation
- All data is managed better.
- We attract the best talent. Provide training and development to support all staff. Increasing the basic level of understanding of data and analytics concepts.
- We are an employer of choice and an attractive workplace for digital, analytics and STEM (science, technology, engineering and mathematic) skills.
- New capabilities and culture allows us to be flexible to changing environments and priorities.
- We are recognised as being best in class for our capabilities and skills in data and analytics.
- We embed Data Science across the organisation.
- We are agile and able to respond and apply new technologies and techniques.
- We can reallocate resources quickly, when we need to.
How we will achieve these aims
Our Data Strategy will be delivered via an ambitious portfolio of work over the next five years. This will provide coordination across all data related projects and day-to-day activities.
The portfolio is structured around the following areas:
- Projects and Key Business Initiatives in every single division that exploit our capabilities and ways of working to bring benefit to us all.
- Changes to our culture and skills to provide the environment, training and recognition for all employees to identify and champion opportunities to fully exploit data and deliver improvements in their areas.
- A new FINMSA data operating model that provides central capabilities and services to push forward our transformation, while growing data and analytical capability throughout the organisation.
- Improved Central Data Services that support our governance, control and supply of data and enable us to make better use of it by providing support across a range of disciplines.
- New Data Management and Analytical tools to give us control, flexibility and power in the way that we use our data.
- Core enabling technology platforms giving us the foundational technologies and infrastructure to fully harness the power of data.
Our next steps
This is an ambitious and long term programme and our initial focus over the next 12 months will be on:
- Increasing our data science resource throughout the organisation, making it a core capability, and growing our overall data and analytics skills via a comprehensive learning and development programme.
- Testing and deploying new tools such as web scraping, network analytics and natural language processing for a wide range of scenarios.
- Looking at how we can use new tools and techniques to transform the way we detect financial crime.
- Seeking to improve the flow and quality of valuable public and commercial data we collect.
- Investigating how to deliver the foundational requirements required to make it easier to understand the rationale, interpret, implement and execute regulatory reporting requirements particularly supported by data standardisation and automation opportunities.
- Modifying our risk and control framework to ensure we use our new tools and techniques safely.