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Lockton

Analyst

London
Posted 1 day ago
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Analyst

About the Role

We are looking for a strong self-starter with a genuine passion for data and a drive to produce results. The right candidate will thrive in a fast-paced environment, where priorities can shift quickly, and will demonstrate the self-motivation and intellectual curiosity needed to continuously learn and develop within a specialist, high-performing team.

Above all, the successful candidate must embody Lockton's core principles:

  • Client first
  • Results and impact driven
  • Self-motivated
  • Continuous improvement

Role Purpose

The LPS Analyst will report to the LPS Data Lead, providing hands-on analytical and data support across LPS's monoline facilities and wider Lockton portfolio solutions initiatives. The primary focus of the role will be to:

  • Continue building and maintaining the data infrastructure underpinning Lockton Portfolio Solutions monoline facilities.
  • Support opportunity scoping through the interrogation and modelling of premium and claims data.
  • Support the Data Lead in the preparation of high-quality data packs and submissions for insurance markets.
  • Build and maintain reporting and dashboards to monitor the performance of LPS facilities.
  • Provide analytical support across a range of LPS strategic initiatives.

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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?

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your 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.

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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.

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Strong

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.

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Key Responsibilities

Monoline Facilities – Data & Analytics

  • Extract, interrogate and analyse data to support the Portfolio solutions Lead in internal scoping discussions with relevant stakeholders, using BI and analytics to identify opportunities and support the PS Lead.
  • Produce meaningful BI and reporting to assess the profitability and scope of monoline facility opportunities.
  • Continue to develop and build on the data infrastructure for the monoline facility initiative.

Market Submissions & Engagement

  • Work with Data Lead to produce professional data packs for submission to market in Excel, PowerPoint and PDF, including a range of analytical exhibits.
  • Respond to ad-hoc data requests from markets in a timely and accurate manner.
  • Support data lead on maintaining robust reporting on key facility metrics, ideally delivered via interactive dashboards, including:
    • Indexation: percentage of in-scope business placed versus not placed.
    • Premium and claims performance by team and risk code.
    • Aggregate accumulations versus limits and modelled loss estimates versus limits (using RMS / AIR outputs).
  • Ensure reporting remains current and reliable as facilities grow and data sources evolve.

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Must-Have Skills & Experience

  • End-to-end development of Power BI reports, including ETL, data modelling, DAX expression writing and report creation.
  • Proficiency in SQL development and good practices in query writing and optimisation.
  • Good understanding of relational databases and data architecture.
  • Advanced Excel, including Power Query and Power Pivot.
  • Strong analytical and problem-solving skills with the ability to translate complex data into clear insights.
  • Strong communication skills — able to present findings to both technical and non-technical audiences.

Desirable Skills & Experience

  • Experience working in the insurance or financial services sector.
  • Familiarity with London Market data processes, including BDX, Xchanging or Vipr.
  • Experience working with large, multi-source datasets and building data pipelines.
  • Knowledge of Python for data analysis and automation.
  • Experience building automated reporting solutions or data workflows.
  • Hands-on experience using Databricks for analytics and reporting workflows.
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Skills

Data Analysis
Power BI
SQL
Excel
Data Modelling
DAX
Problem-Solving
Communication
Data Infrastructure
Reporting
Business Intelligence
Data Pipelines
Python
Automation
Databricks

Location

London, England, United Kingdom

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