At a Glance
- Tasks: Lead data analytics and resilience initiatives to drive strategic insights.
- Company: Join Santander, a forward-thinking organisation committed to inclusivity.
- Benefits: Enjoy competitive salary, generous holiday, and private medical insurance.
- Other info: Dynamic role with opportunities for professional growth and development.
- Why this job: Make a real impact by transforming complex data into actionable insights.
- Qualifications: Experience in data analytics and strong leadership skills required.
The predicted salary is between 76000 - 114000 £ per year.
The role provides advanced expertise in data analysis, drives strategic insights, and leads resilience and reporting initiatives across Santander’s technology‑enabled organization.
Responsibilities
- Design and lead a mature end‑to‑end resilience governance and analytics capability, integrating frameworks, mapping, vulnerability identification and reporting.
- Develop quantitative models and analytical approaches to challenge impact tolerances (ITOLs) and link scenarios to business outcomes.
- Lead integrated vulnerability assessment, combining data from multiple sources to identify systemic risk and control weaknesses.
- Drive control effectiveness testing, remediation tracking and evidence frameworks using data‑led approaches.
- Define and deliver Board‑quality MI and reporting, ensuring transparency, traceability and actionable insights.
- Oversee data architecture, tooling and platforms to support analytics, reporting and resilience decision‑making.
- Lead advanced data analysis, statistical modelling and machine‑learning initiatives to extract insights and improve resilience outcomes.
- Act as the key interface between business, risk and technology, translating complex business challenges into scalable data solutions.
Professional Experience
- Extensive experience leading data analytics, data science or data engineering capabilities in complex organisations.
- Proven experience delivering data‑driven solutions for risk, resilience or regulatory environments.
- Experience designing and implementing data architecture, reporting platforms and analytics frameworks.
- Experience leading cross‑functional teams and large‑scale data initiatives.
Education
- Undergraduate degree in Computer Science, Data Science, Mathematics, Engineering or a related field (preferred).
- Advanced degree or professional certifications in Data Science, Analytics or Risk Management (preferred).
Languages
- English – Required.
Hard Skills
- Strong expertise in data analytics, statistical modelling and machine‑learning techniques.
- Advanced knowledge of data engineering (ETL/ELT, data pipelines, data integration).
- Experience with data visualisation and BI tools (e.g. PowerBI, Tableau, MicroStrategy, SASVA).
- Strong knowledge of data modelling, database structures and information architecture.
- Proficiency in SQL and Python for data analysis and modelling.
- Understanding of operational resilience frameworks (IBS, ITOL) and regulatory expectations.
- Knowledge of data governance, risk frameworks and compliance requirements.
Soft Skills
- Exceptional strategic thinking and decision‑making capability.
- Ability to translate complex analytical outputs into executive‑level insights.
- Strong leadership and stakeholder management skills across senior audiences.
- Ability to lead through influence, drive change and align cross‑functional teams.
- Excellent communication skills with the ability to simplify complex technical concepts.
Salary and Benefits
- Salary range: £76,000 – £114,000 per annum, based on experience and location.
- Benefits include:
- 30 days holiday plus bank holidays (31 days after 5 years of service).
- Option to purchase up to 5 contractual days per year.
- £6,000 car allowance per year.
- Company‑funded private medical insurance.
- Death‑in‑service and income protection insurance.
- Discounted rates for additional life assurance and critical illness cover.
- Share plans.
- Access to wellbeing partners (physical, mental, social, financial).
EEO Statement
At Santander, we’re proud to be an inclusive organisation that provides equal opportunities for everyone – irrespective of age, gender, disability, civil status, race, religion or sexual orientation.
Right to Work
All candidates must have the right to work in the UK to commence employment with Santander.
Senior Framework, Strategy, Governance & Reporting Manager | S4 | Chief Information & Resilienc[...] in Milton Keynes employer: Banco Santander SA
Santander is an exceptional employer, offering a dynamic work environment in Milton Keynes or Glasgow where innovation meets inclusivity. With a strong focus on employee growth, we provide extensive benefits including generous holiday allowances, private medical insurance, and access to wellbeing partners, ensuring our team members thrive both personally and professionally. Join us to lead impactful data-driven initiatives that shape the future of resilience and governance in a supportive and collaborative culture.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Framework, Strategy, Governance & Reporting Manager | S4 | Chief Information & Resilienc[...] in Milton Keynes
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Banco Santander SA!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Framework, Strategy, Governance & Reporting Manager | S4 | Chief Information & Resilienc[...] at Banco Santander SA.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Banco Santander SA.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Framework, Strategy, Governance & Reporting Manager | S4 | Chief Information & Resilienc[...] at Banco Santander SA, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Framework, Strategy, Governance & Reporting Manager | S4 | Chief Information & Resilienc[...] in Milton Keynes
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Banco Santander SA, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Banco Santander SA. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Banco Santander SA
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Banco Santander SA!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
