Finance Optimisation Lead: Reporting, Automation & AI

Arch Insurance (UK) Limited

Greater London

On-site

GBP 65,000 - 90,000

Full time

12 days ago
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Job summary

Arch Europe Insurance Services Ltd in London is seeking a Senior Finance Optimisation Analyst to lead complex reporting, automation and process improvements across Workday, Alteryx, DUCO, Sigma and Anaplan.

You will work with Finance and technology teams to bring structure to complex problems, challenge inefficient processes and deliver scalable solutions while maintaining strong controls.

Qualifications

  • Degree in Accounting / Finance or related discipline.
  • Experience with automation / process improvement tools.
  • Advanced Microsoft Excel skills.

Responsibilities

  • Lead design and improvement of Finance reporting, automation and optimisation solutions across Workday, Sigma, Alteryx, DUCO and Anaplan.
  • Develop advanced Workday reports, Alteryx workflows, Anaplan enhancements and DUCO reconciliation rules.
  • Evaluate practical AI opportunities for reporting, automation and analysis within governance.
  • Partner with stakeholders and system owners to define requirements and shape solutions for complex problems.
  • Coordinate testing, upgrades and change delivery, managing dependencies and risks.
  • Act as a technical go-to person by setting standards and guiding colleagues.
  • Maintain oversight of Finance Improvement Tracker items and progress.

Skills

Accounting & Finance reporting
Advanced Excel
Analytical skills
Independent worker
Attention to detail
Stakeholder management

Education

Degree in Accounting / Finance
ACA/ACCA/CIMA/CII qualifications preferred

Tools

Workday
Alteryx
DUCO
Sigma
Anaplan
Power Query

Job description

Arch Europe Insurance Services Ltd in London is seeking a Senior Finance Optimisation Analyst to lead complex reporting, automation and process improvements across Workday, Alteryx, DUCO, Sigma and Anaplan.

You will work with Finance and technology teams to bring structure to complex problems, challenge inefficient processes and deliver scalable solutions while maintaining strong controls.

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