ARCH EUROPE INSURANCE SERVICES LTD
Data Quality Lead - Issue Resolution

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About the Role
With a company culture rooted in collaboration, expertise, and innovation, we aim to promote progress and inspire our clients, employees, investors, and communities to achieve their greatest potential. Our work is the catalyst that helps others achieve their goals. In short, We Enable Possibility℠.
Key Tasks And Responsibilities
- End to End Ownership of the Data Quality Issue Lifecycle: Oversee triage, root-cause analysis, assignment, resolution, and closure of data issues. Ensure SLAs are met, blockers escalated, and stakeholders updated. Maintain a clear and transparent view of issue status and ageing.
- Lead and guide offshore Data Quality Analysts: Provide daily direction, prioritization, and quality oversight. Review offshore work outputs to ensure accuracy and consistency. Coach analysts to improve investigation quality, documentation clarity, and prevention thinking.
- Work directly with stakeholders across the business: Act as the primary point of contact for UK-based data owners, SMEs, and operations teams. Run workshops or playback sessions to explain issues, remediation plans, and expected changes. Translate technical findings into clear business terms.
- Partner with IT and Operations to deliver fixes: Collaborate with technology teams to validate technical defects and ensure production fixes are implemented correctly. Align with Operations to embed new processes that prevent recurrence. Support change assessments where fixes intersect with projects or system releases.
- Drive structural data quality improvements: Identify recurring issue patterns and propose prevent-rather-than-correct actions. Contribute to data rule definitions, quality controls, validation logic, and monitoring dashboards. Recommend updates to data standards, lineage, and ownership models.
- Reporting and governance: Produce weekly/monthly DQ reporting for management. Ensure all issues are documented to an audit-ready standard. Support Data Governance forums with insights on emerging risks and thematic trends.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Skills / Competencies
- Deep understanding of critical data flows and business processes within the specialty insurance market including the London Market.
- Ability to produce clear and concise reports and documentation for both technical and non-technical audiences.
- Strong analytical mindset with proven ability to diagnose complex data issues.
- Excellent communication skills — able to simplify technical topics for business colleagues.
- Stakeholder confidence: comfortable leading conversations and challenging assumptions constructively.
- Organized and structured, with the ability to manage multiple concurrent issues.
- Skilled in root-cause analysis methods (e.g., 5 Whys, Fishbone, data lineage mapping).
- Ability to guide offshore teams and ensure consistent quality of work.
- Understanding of data governance, data controls, and regulatory data expectations.
- Proficiency with SQL, Excel, and data quality tooling (DQ dashboards, issue-tracking, profiling tools).


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Qualifications
- Bachelor’s or master’s degree in a highly analytical discipline.
- Nice to Have: Professional certifications in business analysis (e.g., ISEB) and data management (e.g., DAMA).
Experience
- 5+ years in data quality, data analysis, MDM, or similar roles.
- Experience leading or mentoring junior or offshore analysts.
- Demonstrable success resolving cross functional data issues end to end.
- Experience within specialty insurance and the London Market.
- Exposure to root cause analysis, issue management tooling, and data governance practices.
Join Us
Do you like solving complex business problems, working with talented colleagues, and have an innovative mindset? Arch may be a great fit for you. If this job isn’t the right fit but you’re interested in working for Arch, create a job alert! Simply create an account and opt in to receive emails when we have job openings that meet your criteria. Join our talent community to share your preferences directly with Arch’s Talent Acquisition team.
14101 Arch Europe Insurance Services Ltd
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