Enterprise Risk & Analytics Specialist

About the role

Are you passionate about turning complex data into strategic insight

As an Enterprise Risk & Analytics Specialist youll play a pivotal role in shaping enterprise risk decisions that reach the highest levels of leadership. This is a unique opportunity to work at the intersection of data risk insurance and strategy where your analysis directly informs board-level conversations and helps steer the organisation through uncertainty.

Youll be responsible for collecting integrating and analysing risk and insurance data across the business enabling a data-driven approach to enterprise risk management (ERM) insurance renewals and operational risk reporting. Working closely with finance legal and operational teams youll ensure timely accurate insights that support confident decision-making.

Reporting into the Head of Enterprise Risk who sits within the Group Treasury function youll provide direct exposure to strategic decision-making and financial leadership.

Youll be joining a team that is committed to raising the performance barwe value curiosity and a passion for continuous improvement. Our culture is collaborative insight-driven and focused on delivering meaningful impact across the business. This role offers a clear path for progression into senior risk strategy or data leadership roles with exposure to executive stakeholders and opportunities to shape how risk and insurance is managed across the organisation.

Key Responsibilities

Data analytics

• Ingest and standardise data from diverse sources (e.g. documents emails digital platforms) to enable consistent analysis.
• Collaborate with internal and external stakeholders to validate and enrich data inputs.
• Apply advanced analytical techniques to identify patterns trends and anomalies in unstructured data.
• Integrate insights into the enterprise analytics environment ensuring alignment with model governance standards.
• Conduct scenario analysis and stress testing to evaluate risk under different assumptions.

Process design and improvements

• Develop lightweight automation tools (e.g. Copilot prompts Excel macros Power BI DAX measures and Power Query scripts) to streamline administrative tasks across risk and insurance.
• Build and maintain models to support fraud detection going concern assessments and insurance exposure analysis.
• Design and apply machine learning models to enhance predictive risk capabilities and support proactive decision-making.
• Build models to assess risk tolerance and uncover correlations across risk categories.
• Build and maintain visualisations for enterprise risk management insurance renewals and fraud monitoring.
• Identify emerging risks and vulnerabilities through data-driven analysis and recommend mitigation strategies.
• Prepare clear actionable materials for senior leadership and board-level reporting to inform strategic decisions.
• Maintain governance over models ensuring traceability version control and compliance with risk and insurance frameworks.
• Collaborate with finance audit and insurance teams (external and internal) to align risk insights with business strategy.