Senior Quants Analytics Manager | S4 | Risk Division | London

Senior Quants Analytics Manager | S4 | Risk Division | London | Country: United Kingdom

Santander ( is evolving from a global, high-impact brand into a technology-driven organisation, and our people are at the heart of this journey. Together, we are driving a customer-centric transformation that values bold thinking, innovation, and the courage to challenge what’s possible. This is more than a strategic shift. It’s a chance for driven professionals to grow, learn, and make a real difference. Our mission is to contribute to help more people and businesses prosper. We embrace a strong risk culture and all our professionals at all levels are expected to take a proactive and responsible approach toward risk management. Retail & Commercial Banking is a global business integrating all our retail and commercial banking activities to better serve our customers, improve efficiency and drive value creation.

The Difference You Make

We are looking for an experienced Senior Quants Analytics Manager to join our Corporate & Commercial Modelling Team within Treasury Risk & Analytics in London, working 35 hours per week. This is an opportunity to lead high profile model development initiatives spanning IRB, IFRS9, Stress Testing and Climate Risk, while working with senior stakeholders, regulators and industry leading quantitative professionals to shape the Bank's risk management strategy. We’re shaping the way we work through innovation, cutting-edge technology, collaboration and the freedom to explore new ideas.

To succeed in this role, you will be responsible for:

• Developing corporate rating models used by the Corporate & Commercial business teams for credit decisions, portfolio management and risk assessment.
• Developing scorecards for Business Banking customers.
• Building IRB models used to calculate Regulatory and Economic Capital in line with Basel and CRR requirements.
• Creating IFRS9 provision and expected credit loss models.
• Developing stress testing and scenario analysis models used for risk management, capital planning and strategic decision making.
• Developing climate risk models and portfolio analytics.

The models we develop are of significant interest to regulators, while provision models are also subject to review by external auditors. In this role, you will work closely with model owners, users, validators, auditors and regulators throughout the model lifecycle, leading model discussions, explaining methodologies and addressing findings and recommendations.

As a Senior Quants Analytics Manager, you will lead the development of corporate credit risk models that support key business decisions, regulatory compliance and strategic risk management across the Bank. Your main responsibilities will include:

• Leading the delivery of complex model development initiatives across areas including IRB, IFRS9, Stress Testing, Climate Risk and Capital Modelling, ensuring delivery to agreed timelines, quality standards and regulatory expectations.
• Developing, enhancing and monitoring models throughout their lifecycle, including performance assessment, challenger model evaluation and ongoing model improvements.
• Ensuring models are appropriately documented, reproducible, fit for purpose and compliant with internal standards and regulatory requirements.
• Presenting model developments, key assumptions, model limitations and recommendations to governance forums and approval committees.
• Managing and developing a team of quantitative managers and analysts, providing technical leadership, coaching and oversight to support high quality delivery.
• Building great collaborative relationships with model owners, users, validators, implementation teams and senior stakeholders across the Bank, including Director level audiences.
• Leading discussions with internal and external validators, auditors and regulators, responding to findings and supporting model governance and approval activities.
• Identifying and resolving complex modelling, data quality and implementation challenges through innovative and pragmatic solutions.

What You\'ll Bring

Our people are our greatest strength. Every individual contributes unique perspectives that make us stronger as a team and as an organisation. We’re enabling teams to go beyond by valuing who they are and empowering what they bring. The following requirements represent the knowledge, skills, and abilities essential for success in this role. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Professional Experience

• Extensive experience in corporate or wholesale credit risk model development, validation or model risk management, including IRB rating systems, IFRS9 provisioning, stress testing, climate risk and capital models (Required)
• Excellent quantitative and analytical skills, with experience applying statistical, econometric and machine learning techniques to solve complex modelling, data and business challenges (Required)
• Advanced programming skills in SAS, Python, SQL or similar analytical tools (Required)
• Demonstrated ability to identify, analyse and resolve complex modelling and data quality issues, applying sound judgement and innovative problem-solving approaches (Required)
• Great understanding of Basel, CRR, PRA, ECB and IFRS9 regulatory requirements and their application within model development and governance frameworks (Required)
• Experience interpreting technical documentation and communicating complex quantitative concepts clearly through high quality reports, presentations and stakeholder engagement (Required)
• Proven experience leading and developing high performing technical teams, including coaching, mentoring and delivery of complex model development programmes (Required)
• Great interpersonal and influencing skills, with the ability to build trusted relationships with senior stakeholders across the Bank and external parties including regulators and auditors (Required)
• Experience using AI enabled tools and large language models, such as ChatGPT, Microsoft Copilot or GitHub Copilot, to enhance analytical productivity, coding, testing and documentation would be advantageous (Preferred)

Education

• Degree level qualification in a quantitative discipline such as Mathematics, Statistics, Economics, Econometrics, Operational Research, Physics, Engineering, Data Science or a related field.
• A postgraduate qualification or PhD would be advantageous (Preferred)

We Value Your Impact

At Santander, your contribution matters. We recognise the difference you make every day, and we make sure you feel valued, supported and rewarded in return. Here, recognition goes beyond pay. It’s about the pride you feel in your work, the impact you have on customers and communities, and the opportunities you have to grow and thrive — personally and professionally.

Salary Range

£99,004.00 - £148,506.00 per annum (depending on experience) This salary range represents the expected remuneration for the role. Annual salary is based on a standard 35-hour working week. Actual salary offered will depend on skills, experience, qualifications and location.

Benefits

• 30 days’ holiday plus bank holidays, which increases to 31 days after 5yrs 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, and the 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.
• As a Santander UK employee, you are able to request staff versions of our products like our Edge Current Accounts and Credit Cards with no fees, as well as apply to many other deals and discounts in Santander products and services
• Competitive rewards that reflect the real impact you make and the value you bring.
• Wellbeing that goes beyond work — we work with a range of wellbeing partners across our 4 pillars of wellbeing (physical, mental, social and financial) to give you 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 that let you make a difference in the communities we serve.
• Global growth opportunities to shape your career, learn new skills and explore what’s possible across our international network.

Right to Work in the UK

All candidates must have the right to work in the UK to commence employment with Santander.

Local Compliance

At Santander, we’re proud to be an inclusive organisation that provides equal opportunities for everyone — regardless of age, gender, disability, civil status, race, religion or sexual orientation. We’re committed to creating a recruitment experience that’s accessible, fair and welcoming for all candidates. We want our people to thrive — at work and at home — while delivering the best outcomes for our customers and supporting each other to grow. To make this possible, our roles are site-based with a hybrid working pattern, where colleagues are expected to attend the office at least 12 days per month (pro-rata for part-time roles). When applying, please consider the travel distance, time and cost to your chosen office location(s).

The Santander Effect

Our work touches 140 million lives every day. How? By always innovating, sharing our experiences, questioning how we do things and adapting to new challenges. As we keep reinventing ourselves for the digital age, you’ll find that with us, even your smallest action will have a massive impact. That’s the Santander Effect.

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