Santander

Data Engineer

• Define the Control Tower operating model, including organisational structure, forums, roles and responsibilities
• Collaborate and maintain connectivity across all Programme workstreams
• Design the integrated business and technology cutover blueprint
• Transition the blueprint into an effective Control Tower
• Provide command, control, decision support and disciplined execution through rehearsals, live migration and stabilisation
• Safely migrate TSB customers and products onto Santander platforms
• Define and execute the end-to-end migration strategy

Cutover Design & Control Tower Lead – Customer & Product Data Migration Team

Analyst

• Lead analysis into the performance of existing Credit Risk policy
• Identify areas where Credit Risk policy can be simplified or enhanced
• Apply and further develop credit risk expertise throughout the product lifecycle
• Partner closely with stakeholders across the business
• Support implementation of changes to Credit Risk policies and strategies
• Work autonomously with very little management guidance on complex work
• Provide analysts with help and guidance on delivery and personal development

Lead Credit Risk Analyst – Unsecured Credit Risk

Marketing

• Define and lead the end-to-end marketing analytics, measurement, and insights strategy for Openbank and Santander US
• Build and develop a high-performing team of analytics leaders, data scientists, and customer/market insights professionals
• Serve as a strategic partner to the CMO and Marketing leadership, translating data and insights into actionable decisions
• Integrate behavioral analytics with customer, market, and competitive insights
• Design and own a marketing effectiveness framework linking marketing activity to incremental customer, revenue, and lifetime value outcomes
• Own marketing measurement architecture across paid, owned, and earned channels
• Develop and maintain a CMO-level performance dashboard covering ROI, efficiency, and growth impact
• Establish incrementality measurements, including experimentation, geo and holdout testing, lift studies, and Marketing Mix Modeling
• Measure brand health, perception, and consideration drivers with Brand and Media teams
• Lead customer and market insights strategy using primary research, behavioral data, and competitive intelligence
• Develop understanding of customer needs, motivations, and barriers across key segments
• Establish and scale voice-of-customer programs, including NPS, surveys, user testing, call listening, and reviews
• Partner with Product, UX, and Marketing on product positioning, value proposition, and customer experience design
• Lead market, brand, and competitive research for messaging, positioning, and go-to-market strategy
• Identify performance optimization opportunities across media channels
• Improve cost-per-acquisition, conversion rates, and funnel performance through attribution, experimentation, and incrementality insights
• Identify new audience segments, unmet needs, and whitespace opportunities
• Evaluate and scale acquisition opportunities through test-and-learn approaches
• Own the marketing test-and-learn roadmap and learning agenda
• Design and govern A/B, multivariate, geo-test, incrementality, MMM, and lift-study frameworks
• Translate test results into recommendations, playbooks, and investment shifts
• Identify and implement tools, platforms, and partners enabling experimentation and insight generation at scale
• Embed insights into campaign briefs, product roadmaps, and executive decision-making
• Translate complex data into compelling narratives for senior leadership
• Build, lead, and mentor teams across analytics, data science, and customer insights
• Set standards for analytical rigor, research excellence, storytelling, AI-driven insights, and scalable measurement capabilities
• Report to the CMO and partner with Growth, Product Marketing, Brand, and Enterprise Analytics teams

Senior Director, Head of Insights & Marketing Analytics

Vice President

• Support credit asset management across mid-to-large ticket performing / high-yield private real estate credit and, where relevant, NPL / legacy exposures
• Bring practical experience from platform development or improvement, including asset management processes, reporting templates, data infrastructure, controls, and governance
• Contribute to building and maintaining credit databases, loan tapes, dashboards, and analysis tools for loan-level and portfolio-level performance tracking
• Calculate and monitor LTV, LTC, DSCR, debt yield, interest cover, arrears, covenant compliance, waivers, amendments, and concentration exposure
• Assist with underperforming loans, including amendments, waivers, restructurings, enforcement considerations, and workout strategies
• Coordinate with third-party loan servicers on loan administration, borrower communications, reporting, data quality, covenants, and issue escalation
• Prepare loan- and portfolio-level analysis for monthly and quarterly reporting, management updates, and materials
• Help institutionalise operating procedures, servicing frameworks, reporting standards, and governance across multiple investments and geographies
• Report to the Head of Credit Asset Management

Vice President, Credit Asset Management

Data Scientist

• Implement the Global value-management methodology locally across the Data & AI portfolio
• Define benefit baselines, attribution, confidence and evidence requirements at intake
• Distinguish clearly between deployment, value generated and value captured
• Coordinate monthly validation with Finance, initiative owners and Management Control
• Reconcile portfolio value with Planview and bank-wide change governance
• Prevent double counting and challenge unsupported value claims
• Maintain benefit confidence, forecast and evidence status, highlighting material gaps and changes
• Escalate benefits that lack the management actions required to convert productivity into P&L impact

Senior PMO Manager – Data & AI Domain

• Design, develop and maintain Transaction Monitoring models and analytical solutions to detect financial crime risks
• Analyse large and complex datasets to identify patterns, anomalies and emerging financial crime typologies
• Apply statistical modelling, machine learning and data mining techniques to solve Financial Crime use cases
• Support the end-to-end model development lifecycle, including data exploration, feature engineering, model development, testing, validation and implementation
• Partner with Financial Crime SMEs, Technology, Data Engineering and Risk teams to translate business requirements into analytical solutions
• Monitor model performance and recommend enhancements to improve effectiveness, efficiency and customer outcomes
• Produce technical documentation for governance, model validation and regulatory requirements
• Present analytical findings and recommendations to technical and non-technical stakeholders
• Contribute to improving analytical methodologies, tools and best practices across the Financial Crime Controls, Models & Analytics team
• Ensure analytical solutions comply with Santander’s risk management framework, model governance standards and regulatory expectations

Financial Crime Data Scientist

Manager

• Identify key opportunities and issues requiring further investigation using customer insight and experience knowledge
• Design customer journeys and conduct user testing
• Enhance traditional and digital communication methods to increase customer engagement and improve outcomes across Financial Support
• Use stakeholder management to maintain strong links across Financial Support and other key business areas
• Understand current customer journeys using complaints, NPS data and direct customer insight
• Design and drive implementation of customer-centric journeys for customers starting to struggle financially or already struggling
• Work with teams across the bank to improve customer journeys

Customer Journey Manager – Customer Impact & Channel Experience

Executive Assistant

• Provide full diary and calendar management for the Executive, proactively prioritising time, resolving conflicts and coordinating meetings across stakeholders, locations and time zones
• Provide dedicated diary, meeting and travel support to a designated Director, including preparation of presentations, reports and meeting materials
• Ensure agendas, briefing packs and supporting documentation are available
• Track actions from leadership meetings and follow up on commitments
• Arrange domestic and international travel, accommodation, visas and itineraries, managing changes and disruptions while remaining compliant with company policy
• Coordinate leadership offsites, town halls, team events and strategic workshops
• Act as a trusted point of contact for senior leaders, CEO Office colleagues, Group teams and external partners
• Handle confidential information with discretion
• Manage expenses, records, documentation and governance deadlines accurately and within agreed timescales
• Provide leave and absence cover across the wider leadership support team
• Collaborate with the Executive Assistant and Personal Assistant community to promote consistent ways of working