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

Apply Now

Data Quality Lead

QBE Insurance Group
City of London
4 days ago
Create job alert

Permanent****London / HybridAt QBE, our purpose is to enable a more resilient future.We are an international insurer and reinsurer with a local presence in 27 countries.Your New RoleIn this role, you'll take ownership of the Finance Adjustments Governance process, enhancing it in alignment with other finance and Data Quality processes. You'll also contribute towards developing and embedding Data Management capabilities, ensuring high standards of Data Quality. Where possible, remove manual intervention in the Adjustments process using tools, such as Ataccama and Collibra. Ensure the Adjustment process aligns with existing Data Quality processes and enforce best practices for tracking and raising Adjustments and issues. Chair the monthly Adjustments Working Group (AWG), refining Terms of Reference, and ensuring appropriate representation. Ensure that communication of Adjustments is clear and that affected stakeholders are fully aware implications of changes.* Prior experience within the Financial or Insurance industry (preferred), in particular dealing with Finance and Actuarial data.* Leverage your understanding of core finance and actuarial concepts to interpret and analyse reconciliation results.* Experience with Data Quality and Data Governance tools (Ataccama and Collibra preferred, respectively).* Demonstrate a solid understanding of Data Quality best practices.* Demonstrate prior experience in autonomously leading DQ activities, such as DQ Rule definition, data profiling and DQ Issue Management.* Knowledge and understanding of Data Management frameworks like DAMA and DCAM.* Leverage Excel, Python, SQL, Jira and ServiceNow to enhance data handling and process efficiency.* Working with Microsoft BI solutions (including SQL Server).* Drive initiatives for process improvement and automation, optimising workflows and increasing productivity.* Ability to effectively use complex analytical, interpretive, and problem-solving techniques.* Ability to prioritise and work to deadlines.* Cultivate strong relationships with key stakeholders, through effective verbal and written communication.At QBE, we want our people to feel rewarded and inspired to perform at their best, that’s why we have created “At My Best”. It’s our connection, our way of showing we have your back. We understand that one size doesn’t fit all and that priorities can change depending on your life stage. That is why our blend of wellbeing initiatives and benefits offer flexibility to suit what matters most to you. It’s in the culture of our business, our QBE DNA, to support our people. Everything we do is underpinned by our QBE DNA.At My Best - QBE Benefits As well as the benefits below we also offer an extensive choice of other options to suit you! You are more than your work – and QBE is more than a workplace, which is why we provide you with the benefits, support and flexibility to help you concentrate on living your best life personally and professionally. Family friendly policies – we offer 26 weeks leave at full pay regardless of gender identity, sexual orientation or how you become a parent. At QBE, we believe that integrating sustainability into our business helps us deliver on our purpose of enabling a more resilient future. Our three key focus areas include fostering an orderly and inclusive transition to a net-zero economy, enabling a sustainable and resilient workforce, and partnering for growth through innovative, sustainable, and impactful solutions. For further information regarding QBE’s sustainability targets, including our net-zero pledges and inclusion of diversity targets, and our award-winning impact investment initiative ‘Premiums4Good’, please visit our If you have a passion to contribute to QBE’s vision of enabling a more resilient future for our customers and the community, we encourage you to apply! Simply click the “apply” button to submit your CV and other relevant documents, and a member of our friendly Talent Acquisition team will be in contact to discuss your interest further if you meet the requirements of the role.
#J-18808-Ljbffr

Related Jobs

View all jobs

Data Quality Lead

Data Quality Lead

Data Quality Lead

Data Quality Lead - Governance & Automation (Hybrid)

Data Quality Lead: Finance & Actuarial Data, Hybrid

Data Quality Lead: Governance & Automation (Hybrid, London)

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.