Data Scientist

UK Regulators' Network

Leeds

Hybrid

GBP 60,000 - 90,000

Full time

3 days ago
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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

Regulating financial services firms and financial markets in the UK, https://www.fca.org.uk/careers

Role Responsibilities
  • Developing 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
  • Designing, testing and deploying scalable analytical solutions that improve the efficiency, consistency and impact of consumer intelligence activities
  • Automating analytical processes and data workflows to reduce manual effort, improve repeatability and increase team effectiveness
  • Building and maintaining 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
  • Evaluating, validating and maintaining robust, explainable analytical methodologies and outputs that are suitable for regulatory use
  • Working collaboratively with stakeholders to understand business problems, define analytical requirements and translate complex findings into practical recommendations
  • Communicating the impact and value of CI&A’s work through presentations, demonstrations, written reports, stakeholder engagement activities and the promotion of analytical best practice and capability development
  • Supporting data governance, data protection and compliance activities including DPIAs, data-sharing assessments and compliance reviews while ensuring all analytical work adheres to governance standards, ethical principles and relevant consumer data legislation
Location

Leeds, London, Edinburgh

Contract type

Full time, Permanent

Profession

Analysis, Business Intelligence, Communications, Data, Data analyst, Data Scientist, Digital, Finance, Regulation, Stakeholder Engagement, Technology

Working pattern

Flexible working

Closing Date

27/10/2026

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