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EXL

Analyzes business data and runs outsourced operations

Finance Business Analyst - Insurance Finance Transformation (Discovery & Blueprinting)

Financial & Transaction AdvisoryConfirmed live in the last 24 hours
Full-timeLondon, UK

About the Job

Requirements

  • A recognized accounting qualification such as ACCA, ACA/CA or CIMA, or a strong equivalent accounting background.
  • Practical experience using Generative AI tools such as Microsoft Copilot or Claude within Finance or a broader business environment.
  • Demonstrable experience as a Business Analyst or Functional Business Analyst on finance transformation programmes, including discovery, current-state assessment and future-state blueprinting.
  • Relevant experience within insurance Finance, with an understanding of how Finance interacts with Actuarial, Underwriting, Claims, Reinsurance and Operations.
  • Practical knowledge of relevant finance processes, for example record-to-report, financial close and consolidation, reconciliations, premium and claims accounting, reinsurance accounting, expense management, and financial or regulatory reporting.
  • Strong experience planning and facilitating workshops, conducting stakeholder interviews, constructively challenging requirements and building consensus across senior and operational stakeholders.
  • Strong process analysis and modelling capability, including current-state and future-state process mapping, pain-point analysis, requirements traceability and opportunity assessment.
  • Experience documenting business, functional, data and control requirements and translating them into practical solutions and delivery artefacts.
  • Experience assessing finance systems, data flows, controls, reconciliations and hand-offs in a complex operating environment.
  • Ability to develop clear, evidence-based blueprint deliverables and executive-ready outputs, including findings, recommendations, prioritisation and roadmaps.
  • Strong analytical and problem-solving skills, with attention to detail and the ability to distinguish symptoms from root causes.
  • Strong written and verbal communication skills, with the ability to communicate effectively across Finance, Actuarial, Operations, Data and Technology stakeholders.
  • Ability to operate independently in a fast-paced consulting or transformation environment and take ownership of defined deliverables.
  • Must already be eligible to work in the United Kingdom.

Responsibilities

  • Lead or support structured discovery across the insurance Finance function, working with Finance, Actuarial, Underwriting, Claims, Reinsurance, Operations, Data and Technology stakeholders.
  • Plan and facilitate stakeholder interviews and cross-functional workshops to understand current processes, pain points, requirements, root causes and improvement opportunities.
  • Map current-state processes against an agreed finance process taxonomy, capturing activities, ownership, systems, data inputs and outputs, controls, hand-offs, dependencies and process variations.
  • Gather, analyse, document and validate business, functional, data and control requirements for the finance transformation blueprint.
  • Collect and analyse available baseline information such as volumes, effort, cycle times, exceptions, quality measures and service levels to substantiate findings and opportunities.
  • Design and document future-state processes, applying simplification, standardisation, elimination, automation and control-by-design principles.
  • Support future-state operating model design, including process ownership, roles and responsibilities, governance, capability requirements and retained/shared-service interfaces.
  • Assess process and technology opportunities, including workflow, ERP, data, analytics, AI and automation solutions, without treating technology as the sole transformation lever.
  • Develop and maintain a prioritised opportunity backlog, assessing initiatives against business value, feasibility, dependencies, delivery effort, risk and control implications.
  • Translate Finance requirements into clear functional specifications, user stories, acceptance criteria and traceability documentation for Technology, Data and implementation teams.
  • Identify source-to-report data flows, data quality issues, reconciliation points and lineage requirements, working with Finance, Data and Technology subject-matter experts.
  • Produce an integrated blueprint pack covering current-state findings, future-state process designs, requirements, data and control considerations, prioritised opportunities, dependencies and an indicative delivery roadmap.
  • Support stakeholder review, decision-making, validation and formal sign-off of blueprint deliverables, maintaining clear decision, assumption, risk and issue logs.
  • Where required, support downstream implementation activities such as solution design, test preparation, user acceptance testing, business readiness and transition planning.
  • Apply Generative AI tools, including Microsoft Copilot or equivalent enterprise-approved tools, to appropriate analysis, documentation and Finance use cases, in line with client data, privacy and security requirements.

Desired Qualifications

  • Experience in finance transformation, CFO advisory, consulting or professional services within the insurance sector.
  • Awareness of insurance accounting and regulatory reporting requirements relevant to the business in scope, with the ability to translate Finance and subject-matter-expert input into process, data and control requirements.
  • Exposure to ERP, consolidation, close management, reconciliation, planning, reporting, data or workflow platforms used within Finance.
  • Experience of target operating model design, shared services, centres of excellence or Finance service delivery models.
  • Experience supporting process mining, task mining, automation, analytics or digital transformation initiatives within Finance.
  • Ability to synthesise complex qualitative and quantitative information into clear findings, decisions and actionable recommendations.
  • Ability to collaborate credibly with stakeholders across business functions, levels and geographies.
  • Strong organization and disciplined management of requirements, actions, decisions, risks, assumptions and dependencies.
  • Commercial awareness and ability to balance value, feasibility, control, risk and delivery considerations.

About the Company

EXL

Analyzes business data and runs outsourced operations

EXL analyzes business data and runs outsourced operations for insurers, healthcare payers, banks, retailers, and other large organizations. Its teams combine industry expertise with data engineering and AI to handle tasks such as claims processing, payment reviews, customer service, and finance within existing technology environments. The company also builds software, including LifePRO, which manages insurance policies, and EXLdata.ai, which connects fragmented data for use in AI systems. Clients pay for consulting projects, ongoing managed services, and software delivered through the cloud. EXL was founded in 1999 and is headquartered in New York City.

Company size
10,001+
Company stage
IPO
Headquarters
New York City, New York
Founded
1999

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