Regulatory Data Scientist: Consumer Risk Analytics & NLP

UK Regulators' Network; Leeds; Hybrid; GBP 60,000 - 90,000; Full time

Job summary

Financial Conduct Authority is seeking a data analytics professional to develop and deploy advanced analytical models across consumer and market datasets, applying ML, NLP and statistical techniques to identify risks and consumer harm signals. You will design scalable analytical solutions and automate data workflows to improve efficiency and impact.

You will build dashboards and analytical products to support evidence-based decision-making and regulatory use, while ensuring governance, data

Responsibilities

• Develop advanced analytical models using consumer and market datasets to identify emerging risks, trends and consumer harm signals while applying statistical, machine learning and natural language processing techniques to extract insights from structured and unstructured data
• Design, test and deploy scalable analytical solutions that improve the efficiency, consistency and impact of consumer intelligence activities
• Automate analytical processes and data workflows to reduce manual effort, improve repeatability and increase team effectiveness
• Build and maintain analytical products, dashboards and tools that support evidence-based decision-making and enhance the FCA’s ability to identify and respond to emerging consumer issues
• Evaluate, validate and maintain robust, explainable analytical methodologies and outputs suitable for regulatory use
• Collaborate with stakeholders to understand business problems, define analytical requirements and translate complex findings into practical recommendations
• Communicate impact and value of CI&A’s work through presentations, demonstrations, reports and stakeholder engagement while promoting best practice
• Support data governance, data protection and compliance activities including DPIAs and data-sharing assessments while ensuring governance and ethical standards are met

Skills

Analytical modelling

Statistical methods

Machine learning

Natural language processing

Job description

Financial Conduct Authority is seeking a data analytics professional to develop and deploy advanced analytical models across consumer and market datasets, applying ML, NLP and statistical techniques to identify risks and consumer harm signals. You will design scalable analytical solutions and automate data workflows to improve efficiency and impact.

You will build dashboards and analytical products to support evidence-based decision-making and regulatory use, while ensuring governance, data