Responsibilities
- Designing and leading a mature, end-to-end resilience governance and analytics capability, integrating frameworks, mapping, vulnerability identification, and reporting
- Developing quantitative models and analytical approaches to challenge impact tolerances (ITOLs) and link scenarios to business outcomes
- Leading integrated vulnerability assessment, combining data from multiple sources to identify systemic risk and control weaknesses
- Driving control effectiveness testing, remediation tracking, and evidencing frameworks using data-led approaches
- Defining and delivering Board-quality MI and reporting, ensuring transparency, traceability, and actionable insights
- Overseeing data architecture, tooling, and platforms to support analytics, reporting, and resilience decision-making
- Leading advanced data analysis, statistical modelling, and machine learning initiatives to extract insights and improve resilience outcomes
- Acting as the key interface between business, risk, and technology, translating complex business challenges into scalable data solutions
Requirements
- Extensive experience leading data analytics, data science, or data engineering capabilities in complex organisations (Required)
- Proven experience delivering data-driven solutions for risk, resilience, or regulatory environments (Required)
- Experience designing and implementing data architecture, reporting platforms, and analytics frameworks (Required)
- Experience leading cross-functional teams and large-scale data initiatives (Required)
- Undergraduate degree in Computer Science, Data Science, Mathematics, Engineering, or related field (Preferred)
- Advanced degree or professional certifications in Data Science, Analytics, or Risk Management (Preferred)
- Strong expertise in data analytics, statistical modelling, and machine learning techniques (Required)
- Advanced knowledge of data engineering (ETL/ELT, data pipelines, data integration) (Required)
- Experience with data visualisation and BI tools (e.g. Power BI, Tableau, MicroStrategy, SAS VA) (Required)
- Strong knowledge of data modelling, database structures, and information architecture (Required)
- Proficiency in SQL and Python for data analysis and modelling (Required)
- Understanding of operational resilience frameworks (IBS, ITOL) and regulatory expectations (Required)
- Knowledge of data governance, risk frameworks, and compliance requirements (Required)
- Exceptional strategic thinking and decision-making capability (Required)
- Strong leadership and stakeholder management skills across senior audiences (Required)
- Ability to lead through influence, drive change, and align cross-functional teams (Required)
- Strong communication skills with the ability to simplify complex technical concepts (Required)
Core Competencies
Demonstrates expertise in leading data analytics, statistical modeling, and machine learning initiatives to drive resilience outcomes. Proficient in designing data architecture and delivering data-driven solutions within risk and regulatory environments.