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)
Tech Stack
ETL
Python
SQL
Tableau
Benefits
30 days’ holiday plus bank holidays, increasing to 31 days after 5 years service, with the option to purchase up to 5 contractual days per year
£6,000 car allowance per year
Company funded individual private medical insurance
Protection for you and your family, with company-funded death-in-service benefit and income protection insurance
Option to take advantage of discounted rates for additional life assurance and critical illness cover
Share in Santander’s success by saving or investing in our share plans
Request staff versions of our products like our Edge Current Accounts and Credit Cards with no fees
Apply to many other deals and discounts in Santander products and services
Competitive rewards that reflect your impact and the value you bring
Wellbeing that goes beyond work — access to a suite of apps, discounted gym and fitness access, weekly online classes, flexible healthcare and mental health support
Support for every life stage — from menopause and pregnancy to parenthood and beyond, with enhanced family leave, childcare options and tailored wellbeing support
Time to give back through volunteering opportunities
Global growth opportunities to shape your career and learn new skills