About the Role
Provide flexible, multi-disciplinary analytical support across data quality management, metadata and taxonomy development, and AI monitoring capabilities. Ensure high-quality, well-governed data and contribute to safe, transparent, and reliable AI system operation. Focus on analytical support for emergent data and AI governance frameworks, ensuring actionable control and monitoring for high-quality data and safe, compliant AI use.
Responsibilities
- Design, implement and maintain data quality rules, profiling routines, and dashboards using enterprise tooling.
- Support development of metadata standards, classification models, taxonomies, and labelling structures across domains.
- Build and operate AI monitoring controls, including bias detection, drift analysis, performance tracking, and model validation.
- Analyze information and data assets to surface insights, trends, anomalies, and emerging risks across business processes.
- Document processes, lineage, rules, and control frameworks to ensure transparency and auditability.
- Collaborate with Digital, DPO, Risk & Compliance, and business stakeholders to ensure data is governed, protected, and fit for purpose.
- Support generalist analytical tasks, including reporting, root-cause analysis, and ad-hoc investigations.
- Contribute to continuous improvement of data and AI governance standards, tooling, and processes.
Requirements
- Proven experience as a Data Analyst, ideally spanning data quality, metadata management, and general analytics.
- Experience using data quality tooling (e.g., rule engines, profiling tools) and working with structured/unstructured datasets.
- Strong understanding of metadata concepts such as classification, lineage, taxonomies, and ontology modelling.
- Exposure to AI/ML concepts including model monitoring, fairness/bias techniques, drift detection, hold-out testing, cross-validation, and performance measurement.
- Strong SQL/Python skills for data analysis and control development.
- Experience in regulated environments (financial services, insurance, or similar) is beneficial.
- Familiarity with GDPR, data protection obligations, and responsible AI principles.
- Analytically minded and adaptable individual comfortable working across multiple concurrent workstreams.
- Strong attention to detail, intellectual curiosity, and ability to translate complex technical concepts into clear, business-focused insights.
- Structured, well-organised, and capable of operating with limited oversight.
- Confident engagement with stakeholders across Digital, Risk & Compliance, the DPO, and business functions.
- Proactive learning mindset, particularly in emerging AI governance and data management practices.
- Commitment to accuracy, transparency, and continuous improvement.
- Strong communication skills with a collaborative approach.
Skills
- Data Quality Management
- Metadata Management
- Taxonomy Development
- AI Monitoring
- Data Governance
- SQL
- Python
- Bias Detection
- Drift Analysis
- Model Validation
- Risk Assessment
Location
- London
- Hybrid
Work Type
- Full time
- Fixed Term 12 Months
- Hybrid (Typically 2/3 days in the office)
Experience Level
- Data Analyst experience
- Experience in regulated environments is beneficial
Salary/Compensations
- Competitive salary
Benefits
- Inclusive culture
- Apprenticeships
- Study support
- Participation in annual Spotlight Awards
- Community Trust
- Sports Teams
- Office socials and events
- Wellbeing programs
- Fantastic discounts across many big-name businesses
- Employer pension contribution of 10% (Employee provides 5%)
- Good work life balance - flexibility to suit you
- Life Assurance at X4 of base salary
- Group Income Protection
- Generous Annual Leave entitlement
- Private Medical Insurance
- Group annual bonus scheme
About the Company
- Ardonagh Specialty provides much more than just a workplace.
- Dedicated to fostering skill development and knowledge within a passionate team.
- Values Employees and celebrates diversity.
- Part of The Ardonagh Group, with an innovative environment offering growth opportunities.
- Encourages employees to move between united teams and make roles their own.
- Offers a genuinely flexible approach to working.
- A thriving, energetic business with exciting plans.
Equal Opportunity
- We are an equal opportunities Employer, dedicated to creating a diverse, inclusive, and authentic workplace where everyone can thrive, bring their whole self to work, and reach their full potential.
- If you’re excited about this role, but your experience doesn’t perfectly match what we are looking for, please apply anyway.
- We truly value the diversity of our teams and as a Group, we are committed to supporting and welcoming individuals from all backgrounds, as we appreciate every perspective is a significant part of our success.
- Should you require any reasonable adjustment throughout the recruitment process, please do not hesitate to let a member of the Talent team know.
