Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Integrity Specialist

Barclays UK
Glasgow
1 week ago
Create job alert

Join us at Barclays as part of the Wholesale Lending capital management team, implement data quality processes and procedures, ensuring that data relating to Wholesale Lending risk, capital and business activity is reliable and trustworthy, then extract actionable insights from it to help the organisation improve its operation, and optimise resources. Oversee, manage and implement operational and transaction management processes as they relate to balance sheet optimisation activities managed by the Wholesale Lending business. Drive strategic data and process improvements in order to enhance business efficiency, improve capital position and returns and ensure a robust controls framework

Essential Skills and Qualifications
  • Minimum high quality undergraduate degree - 2.1 or equivalent

  • Strong analytical / problem solving abilities

  • Advanced MS Excel skills

  • Strong written and verbal communication and presentation skills, ability to explain technical concepts to non-technical front office audience

  • Managerial experience not required, but should be able to demonstrate leadership / co-ordination capabilities

  • Experience working in a large bank in a related role

Desirable Skills and Qualifications
  • Regulatory reporting experience

  • Understanding of capital, returns and credit risk modelling (RWA, RoRWA, PD, LGD, EAD).

  • Working knowledge of the CRR regulation, in particular Advanced Internal Ratings Based and Standardised approach to calculating capital requirements for Credit Risk

  • Practical experience of working with data in a database (e.g. SQL)

  • Experience in business analysis project accountabilities such as gathering requirements from self-analysis, investigating issues, documenting findings, and testing solutions

This role is based in Glasgow

You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills

Purpose of the role

To manage the capital requirements of the bank's wholesale lending businesses. This includes developing and implementing capital allocation strategies, monitoring, and reporting on capital adequacy, and working with regulators to ensure compliance with all applicable capital requirements.

Accountabilities
  • Development of modelling, pricing and monitoring frameworks to ensure the origination of new lending business and client relationship management is aligned to our strategic objectives for overall business returns.
  • Development and management of structured transactions for balance sheet optimisation and/or capital reduction in order to support the bank’s financial resource management strategy.
  • Analysis of the risk associated with different lending products and client relationships and adjust capital allocation accordingly.
  • Participation in stress testing exercises to assess the bank's ability to withstand adverse economic scenarios and propose capital adjustment strategies
  • Ensure lending activities are compliant with regulatory requirements.
Assistant Vice President Expectations
  • To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions.
  • Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes
  • If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others.
  • OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes.
  • Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues.
  • Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda.
  • Take ownership for managing risk and strengthening controls in relation to the work done.
  • Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
  • Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy.
  • Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively.
  • Communicate complex information. \"Complex\" information could include sensitive information or information that is difficult to communicate because of its content or its audience.
  • Influence or convince stakeholders to achieve outcomes.

All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.


#J-18808-Ljbffr

Related Jobs

View all jobs

Quantitative Product Specialist - Private Market Data

Quantitative Product Specialist - Private Market Data

Principal NGS Biostatistician

Data Analyst

Data Analyst

Data Architect

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.