TL;DR

Head Of Data Risk Innovation (Fintech): Driving a transformation in how Data and Privacy risks are managed across Lloyds Banking Group with an accent on creating automated, data-driven methodologies fit for the age of AI. Focus on real-time, continuous, and predictive risk monitoring powered by AI and automation, harnessing technologies such as Generative AI and Agentic AI to dynamically identify, assess, and mitigate risks.

Location: Bristol, Birmingham, Edinburgh, Halifax, Leeds, Newport. Our work style is hybrid, which involves spending at least two days per week, or 40% of our time, at one of our office sites

Salary: £116,535 - £137,100

Company

Lloyds Banking Group is investing billions in its people, data, and tech to change the way they meet the needs of their 28 million customers.

What you will do

  • Lead the Data Risk Innovation function, setting priorities and creating a strong reputation for innovation.
  • Apply deep knowledge of AI, data, and automation to redefine policies, controls, and risk processes, enabling real-time and predictive risk management.
  • Innovate approaches to risk management by integrating risk guardrails within existing workflows rather than as standalone tasks.
  • Collaborate with peers within the Risk function and across business units to drive adoption of new risk management strategies.
  • Ensure close alignment to the Group’s Enterprise Wide Risk Management Framework and applicable regulatory standards.
  • Own the Group’s Data, Privacy, and Retention policies.

Requirements

  • 10+ years leading teams or functions in a complex organisation.
  • 5+ years in a risk or first line control function within Financial Services.
  • 5+ years of experience using AI, analytics or other quantitative methods to drive innovation or transform processes.
  • 5+ years of Strategic Decision Making, showing ability to make timely decisions, assimilate complex information, and provide relevant recommendations.
  • Strong knowledge and expertise on non-financial risk.
  • Demonstrable ability to build partnerships, and provide challenge and advice.

Nice to have

  • Experience as a data scientist or software engineer.
  • Experience within operational risk function within financial services.
  • Data privacy qualification e.g. CIPP/E

Culture & Benefits

  • A generous pension contribution of up to 15%.
  • An annual performance-related bonus.
  • Share schemes including free shares.
  • Benefits adapted to your lifestyle, such as discounted shopping.
  • 30 days’ holiday, with bank holidays on top.
  • A range of wellbeing initiatives and generous parental leave policies.