United Kingdom · Finance roles · Lead Level (8-12 years)

Lead Global Insurance Analyst

Here is the whole job, in plain words. What it is, a real day, what you decide, how you're judged, how people get here and where they go next. Then the part no course gives you: twelve AI tutors who learn your work.

Experience bandLead Level (8-12 years)
Direct reports3-8 reports
Reports toInsurance Programme Manager
UK framework levelUsually a manager, or the deepest specialist in a team

Also advertised as Insurance Programme Lead · Risk Information Manager · Senior Insurance Specialist

Built on an analysis of 43,079 real UK job descriptions · grounded in qualifications employers recognise

Start with a free Future Fluency check, tuned to Lead Global Insurance Analyst

Ten quick questions, one per Future Fluency, asked against this role rather than a generic one. About five minutes, and no card.

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1What this role really is

This isn't just about processing paperwork; it's about being the architect behind our global insurance data and systems. You'll be the go-to person for making sense of complex risk information, ensuring our RMIS is singing, and building the models that tell us where our money goes. Think of it as being the brain and the backbone of our insurance operations, making sure everything runs smoothly and we're making smart, data-backed decisions. You'll be leading the charge on how we collect, analyse, and present our risk data across the globe.

2What you'd actually use

The tools this job runs on, and how well you'd need to know each one.

RMIS (Origami Risk / Riskonnect)Advanced

Configuring custom dashboards, managing data import templates, training business users, performing data integrity audits, and designing new reporting functionalities.

Advanced Excel (Power Query, VBA)Expert

Mastery of Power Query for data cleansing/transformation, building dynamic models for 'what-if' scenarios on deductibles/limits, and potentially using VBA for complex automation tasks in reporting.

Analytics & Visualization (Power BI / Tableau)Advanced

Connecting to RMIS and ERP data sources to build new reports and dashboards that answer specific questions from leadership, identifying claims trends, and visualising exposure data.

ERP / Finance Systems (SAP S/4HANA / Oracle NetSuite)Advanced

Building and validating complex premium allocation models within the ERP, reconciling payments against invoices, and ensuring TCOR is accurately reflected in financial reporting.

Doc Management & Collaboration (SharePoint / Confluence)Advanced

Designing workflows for document approval (e.g., COI requests), managing version control for critical renewal documents, and setting up efficient information architecture for insurance documentation.

3What you get to decide, and how that grows

Power in a job isn't your title. It's what you're allowed to decide. Here's how it grows as you move up.

The choice	Coming in	Where you are now	The step above
RMIS Configuration Changes	Escalate all proposed changes to supervisor for review and approval.	Propose and implement minor configuration changes (e.g., new report filters) within established guidelines; escalate major changes.	Design and implement significant RMIS configuration changes (e.g., new data fields, custom workflows, dashboard builds) with manager consultation for strategic impact.
Premium Allocation Methodology Adjustments	Execute allocations based on existing models; flag any data anomalies.	Propose minor adjustments to allocation factors based on data analysis; seek approval from senior analyst.	Design, implement, and defend significant changes to the premium allocation model, requiring alignment with Finance leadership and the Insurance Programme Manager.
Hiring Junior Team Members	No involvement beyond providing feedback on candidates if asked.	Participate in initial screening interviews and provide feedback on technical skills.	Lead technical interviews, assess skill fit, and make hiring recommendations for 3-8 direct reports, with final approval from the Insurance Programme Manager.
Vendor Selection (RMIS related)	No involvement.	Provide input on user experience or specific features of existing RMIS.	Lead the technical evaluation of potential RMIS vendors, define requirements, and make recommendations for selection, influencing budget decisions up to £500K for new contracts or major upgrades.

4How you'll be judged

The scoreboard, honestly: the hard targets, how often each one is actually looked at, and the quiet human signals that never make it onto a dashboard.

Renewal Data Completeness & Timeliness

The percentage of required exposure data (revenue, payroll, property values) collected and validated from business units by the internal deadline.

Target · 98% of exposure data collected and validated 60 days prior to policy expiration.

For the Q4 renewal, all property values for EMEA were validated and uploaded to the RMIS by 15th September, hitting the 60-day target.

Premium Allocation Accuracy

The variance between the allocated premium amounts to cost centres and the actual invoiced premium from carriers.

Target · < 1% variance between allocated and invoiced premium.

The Q1 premium allocation model showed a total variance of 0.75% across all business units, well within our target.

RMIS Data Integrity Score

A score reflecting the accuracy, completeness, and consistency of data within the Risk Management Information System.

Target · Achieve and maintain >95% data integrity score (based on audit criteria).

Our last RMIS audit showed a 96.5% integrity score, meaning less than 3.5% of records had errors or missing critical fields.

Mentorship & Team Development

The successful development and growth of junior team members under your guidance, measured by their ability to take on new responsibilities.

Target · At least one L1/L2 mentee successfully takes on a new area of responsibility (e.g., managing a specific COI stream) within a year.

Sarah, who you mentored, is now independently managing all property exposure data collection for APAC, a task she couldn't do 6 months ago.

Strategic Analytical Input

Your ability to provide insightful analysis that genuinely informs and shapes our insurance renewal strategy and risk mitigation efforts.

You're regularly asked for your opinion on complex risk scenarios. Your analytical reports are directly referenced in leadership discussions and broker negotiations. You proactively identify emerging risks or cost-saving opportunities through data analysis.

RMIS Optimisation & Innovation

Your initiative in identifying and implementing improvements to our RMIS, making it more user-friendly, efficient, and valuable.

You've proposed and implemented new dashboards or reporting functionalities in the RMIS that address specific business needs. You've streamlined a data import process, saving significant manual effort. You're seen as the go-to expert for RMIS capabilities and troubleshooting.

Cross-Functional Influence

Your effectiveness in guiding and influencing business units and other finance teams to comply with data requests and insurance requirements.

Business units consistently submit their exposure data on time and in the correct format, largely due to your clear communication and follow-up. You successfully mediate disagreements between departments regarding premium allocations. You're able to 'sell' the value of accurate data to non-finance colleagues.

5Would you like it

The honest version. What people enjoy, and what grinds them down.

What people enjoy

Solving Complex Puzzles

You'll spend hours figuring out why the RMIS isn't pulling the right data, or how to combine five different spreadsheets into one clean, usable dataset. The satisfaction comes from untangling a messy problem and building a robust solution that actually works.

Spending a full day debugging a Power Query script to transform inconsistent payroll data into a clean format for the allocation model, and finally getting it to run perfectly.

Building and Optimising Systems

You genuinely enjoy setting up new dashboards, designing data validation rules, or refining the premium allocation methodology. It's about creating order from chaos and making things run more smoothly and efficiently for everyone.

Leading the project to implement a new module in Origami Risk for tracking contractual indemnities, from design to user training.

Impact Through Accuracy & Insight

Knowing that your meticulous data validation and insightful reports directly influence multi-million-pound decisions. Your work isn't just administrative; it's foundational to our financial strategy and risk protection.

Presenting an analysis of claims trends that leads to a targeted loss control programme, ultimately saving the company significant money on future premiums.

What frustrates people

The Quarterly Exposure Chase: It's still a thing, even at this level. You'll be coordinating it, but you'll still feel the pain of incomplete or messy data submissions.
Legacy System Limitations: You'll want to automate everything, but sometimes the existing tech stack just won't let you, forcing manual workarounds.
Resistance to Change: Implementing a new data collection process or an improved allocation model often means convincing people to change their habits, which isn't always easy.
The 'Fire Drill' Mentality: Despite your best efforts to plan, urgent, last-minute requests will still pop up, derailing your carefully laid plans.

What this role does not give you

A quiet, predictable routine with no interruptions.
Complete autonomy over strategic direction without needing buy-in from multiple stakeholders.
A role where you never have to deal with messy, incomplete data.
Freedom from the occasional, tedious manual data entry or reconciliation task.

6Who you work with

This role directly impacts our financial resilience by ensuring our global insurance programmes are efficient, effective, and accurately reflect our risk profile. Your work informs significant financial decisions, protects our balance sheet, and ensures we meet regulatory and contractual obligations worldwide. Get it right, and we save millions; get it wrong, and we face significant financial exposure and reputational damage.

Inside the business

Insurance Programme Manager (your direct boss)
Finance Leadership (CFO, Head of Treasury)
Regional Finance Directors
Operations and Business Unit Heads (for data collection)
Legal and Compliance teams

Outside the business

Insurance Brokers and Underwriters
Third-Party Administrators (TPAs)
RMIS Vendors (e.g., Origami Risk, Riskonnect)
External Auditors

7What you need before you start

Not a wish list. The things you would be expected to already have.

Proven track record of managing complex data sets and building analytical models, ideally within a finance or risk context, for at least 5 years.
Demonstrable experience with a major RMIS platform (e.g., Origami Risk, Riskonnect) including system configuration and advanced reporting.
Strong understanding of accounting principles related to insurance (e.g., premium accruals, claims reserves) or equivalent experience.
Experience in leading small projects or workstreams from conception to completion, including managing timelines and stakeholders.
A solid grasp of the core concepts of corporate insurance, including different lines of coverage (Property, Casualty, D&O, Cyber) and key terminology (e.g., deductibles, SIRs, loss runs).

8What to practise next

Where the job is going, and what to do about it starting this week.

Advanced Data Governance & Quality Automation

As data volumes explode and regulatory scrutiny increases, manual data quality checks won't cut it. We'll need automated systems to ensure our exposure and claims data is always accurate, compliant, and audit-ready, reducing the risk of costly errors.

Automated Data Validation Rules · Master Data Management (MDM) Principles · Data Lineage & Audit Trails

This quarter: Review our current data validation processes in the RMIS. Identify 2-3 areas where automation could significantly improve quality.
Next quarter: Research MDM best practices and how they apply to insurance data. Propose a small pilot project for a critical data element.
Within 6 months: Work with IT to implement automated data quality checks for a key data set, measuring the reduction in manual errors.

Quick win: Implement basic data validation rules in Excel for exposure data collection templates. Start documenting data sources and transformations more rigorously.

9Staying current once you are in

What people here do to keep up

Attend industry conferences and webinars focused on risk management technology and insurance analytics (e.g., RIMS, FERMA).
Participate in specialist training on advanced Excel (Power Query/VBA) or business intelligence tools (Power BI/Tableau).
Engage with RMIS user groups and forums to stay abreast of new features and best practices.
Take online courses in data science fundamentals, statistical modelling, or machine learning applications in finance.

10How the AI economy is changing work like this

Before we ask anything of you, here's what we can already say about AI and work of this kind:

The new skill this role is being asked for: Prompt Engineering & LLM Integration for Finance

Our competitors are already using Large Language Models (LLMs) to draft initial policy summaries, analyse contract clauses, and even generate preliminary claims reports in minutes. Analysts who master this will significantly outproduce their peers, shifting the value from manual data extraction to validation and strategic interpretation.

We'll only ever tell you what we can actually back up. No hype, no scare tactics.

The rising capability

Zavmo analysis

What's rising in its place

This is where the work is heading, and the higher pay with it. Get fluent here and the shift stops being a threat and starts being your edge.

Prompt Engineering & LLM Integration for Finance

Our competitors are already using Large Language Models (LLMs) to draft initial policy summaries, analyse contract clauses, and even generate preliminary claims reports in minutes. Analysts who master this will significantly outproduce their peers, shifting the value from manual data extraction to validation and strategic interpretation.

Context Windows & Token Limits
Retrieval-Augmented Generation (RAG)
Output Validation & Hallucination Detection
Prompt Chaining for Complex Analysis

What you’ll use

Skills this role draws on

Technical

Global Programme Structure & Management
Exposure Data Collection & Validation
Premium Allocation Methodology
Claims Administration & TPA Liaison
Policy Language & Endorsement Review

The pathway

How you actually get there, here

How you become one varies far more by country than what one does. This is the UK route. Most people take one of these ways in; the right one depends on where you're starting from.

1
Senior Global Insurance Administrator/Analyst (L3)
3-5 years
Skills to master
- Deep expertise in a specific line of coverage, advanced RMIS usage, independent management of a workstream (e.g., COI compliance), and initial mentorship experience.
You're ready to move on when
- Successfully led a major renewal workstream (e.g., General Liability) from end-to-end.
- Consistently identified and resolved complex data discrepancies without significant supervision.
- Received positive feedback on mentoring junior team members and improving their technical skills.
- Proactively suggested and implemented process improvements that saved time or reduced errors.
2
Finance Analyst / Data Analyst (with insurance exposure)
4-6 years
Skills to master
- Advanced data modelling, strong BI tool proficiency, financial reporting, and a foundational understanding of insurance concepts and terminology.
You're ready to move on when
- Built and maintained complex financial models that informed strategic decisions.
- Demonstrated ability to translate complex data into clear, actionable business insights.
- Actively sought out opportunities to learn about the company's insurance programmes and risk profile.
- Proven ability to work with large, messy datasets and build robust data pipelines.
3
Consultant (Insurance/Risk Management)
3-6 years
Skills to master
- Broad exposure to different insurance programmes and RMIS platforms across various industries, strong client management and presentation skills, and an ability to quickly grasp new business contexts.
You're ready to move on when
- Successfully delivered multiple projects focused on insurance programme optimisation or RMIS implementation.
- Demonstrated ability to manage client expectations and deliver high-quality analytical work under pressure.
- Developed a strong network within the insurance industry and a broad understanding of market trends.

11Where this role leads

The long view:This role isn't just a job; it's a launchpad. We're looking for someone who wants to build, lead, and leave a lasting impact on how we manage risk. If you're ready for a challenge that will stretch your analytical and leadership muscles, and you want to be part of a team that values innovation and precision, then let's talk.

Pay & demand

Pay and demand for this role will appear here, each figure traced to a named authoritative source (e.g. the ONS Annual Survey of Hours and Earnings, under the Open Government Licence). We don’t show numbers we can’t attribute.

The ten Future Fluencies

Zavmo analysis

The credential is what you can do today. These are what keep you valuable.

A qualification proves you can do the job as it's defined today. These ten are what decide whether you're still the obvious person for it in five years. They're the capabilities employers are now writing into senior roles faster than people are learning them. Zavmo weaves them through whatever you study, so you come out with both: the credential and the fluency.

The highlighted ones are the Fluencies your role leans on hardest, from how Lead Global Insurance Analyst is actually changing. In about two minutes, the free confidence check asks where you stand on each of the ten. That's the whole check, and it's what makes the plan yours rather than generic.

12The team that's yours

No two people are taught the same way. This is one-to-one, not one-to-many.

Zavmo is a hyper-personalised AI learning platform. Twelve virtual tutors, each with a different way of teaching, and one orchestration agent that picks the right one for the moment. So every single lesson is shaped around you, your role, and the way you learn. Not a course everyone sits through. A conversation built for you, and no one else.

…and nine more, matched to you after your first chat. Meet all twelve

Start free and meet yours

13What it feels like

A conversation, not a course

Because your tutor knows your role, your projects and your last session, learning sounds like this. And it's different for every single person:

Processing complex insurance renewalsLevel 3

Applied to your work in Lead Global Insurance Analyst

By completing this unit, learners will understand the roles within the insurance industry, details of policies, and be able to review, alter, confirm or decline complex insurance renewals, while maintaining accurate records.

How the thinking builds

Remember
Understand
Apply
Analyse
Evaluate
Create

An illustration of a Zavmo lesson, built from this role’s own route. The unit, its objective and every criterion above are the awarding body’s own words, not an example.

One to one, not one to many

No two people run this the same way

A course is written once and handed to everyone. This is assembled around you, and keeps changing as it learns you. Five things it reads, and what each one changes.

Your actual work Every lesson is taught against a live piece of your own work, not a worked example from a textbook.
What you already know The first conversation finds your starting point, so you skip what you can already do and spend the time on what you cannot.
The conditions you learn under Not a learning-styles quiz. The evidence does not support those. The dimensions the research does back, read once and used to shape the plan.
How far you got last time It picks up mid-thought. The tutor knows what you said, what you struggled with, and what it asked you to try.
Which tutor suits the moment Twelve of them, each for a different kind of thinking. The one who walks you through a first idea is not the one who stress-tests it.

See how you learn, free. Eight questions, no sign-up. A directional taster; the diagnostic inside Zavmo goes deeper and keeps adapting.

DemonstrateIllustration

Evidenced on your work in Lead Global Insurance Analyst

You do not finish by watching something. You finish by showing it on the work you already do, against the measures this job is judged on.

Renewal Data Completeness & TimelinessThe percentage of required exposure data (revenue, payroll, property values) collected and validated from business units by the internal deadline.For the Q4 renewal, all property values for EMEA were validated and uploaded to the RMIS by 15th September, hitting the 60-day target.98% of exposure data collected and validated 60 days prior to policy expiration.
Premium Allocation AccuracyThe variance between the allocated premium amounts to cost centres and the actual invoiced premium from carriers.The Q1 premium allocation model showed a total variance of 0.75% across all business units, well within our target.< 1% variance between allocated and invoiced premium.
RMIS Data Integrity ScoreA score reflecting the accuracy, completeness, and consistency of data within the Risk Management Information System.Our last RMIS audit showed a 96.5% integrity score, meaning less than 3.5% of records had errors or missing critical fields.Achieve and maintain >95% data integrity score (based on audit criteria).
Mentorship & Team DevelopmentThe successful development and growth of junior team members under your guidance, measured by their ability to take on new responsibilities.Sarah, who you mentored, is now independently managing all property exposure data collection for APAC, a task she couldn't do 6 months ago.At least one L1/L2 mentee successfully takes on a new area of responsibility (e.g., managing a specific COI stream) within a year.

These are this job's own measures, with its own targets. Nothing is marked evidenced, because nobody has started this yet. Yours would fill in from the work you bring.

Your passport

This isn't a certificate you file away. It's a passport to the life you're designing.

Every credit you earn and every fluency you build adds up: evidence where it counts, carried with you. Zavmo keeps the map: where you are, where you're heading, and the next step, at your pace, around your life. From Lead Global Insurance Analyst to Insurance Programme Manager (L5), and whatever you decide comes after.

Level 5 · in progressAI Fluency→ Insurance Programme Manager (L5)→ your design

Where this takes you

This role isn't just a job; it's a launchpad. We're looking for someone who wants to build, lead, and leave a lasting impact on how we manage risk. If you're ready for a challenge that will stretch your analytical and leadership muscles, and you want to be part of a team that values innovation and precision, then let's talk.

See Your Progress GrowIllustration

Lead Global Insurance Analyst

Global Programme Structure & Management
Exposure Data Collection & Validation
Premium Allocation Methodology
Claims Administration & TPA Liaison
Policy Language & Endorsement Review

This is your Mind Palace on learn.zavmo.ai. Every skill above comes from this role's own record, not an example borrowed from another job. A node lights up when you evidence it, and what you build stays yours between jobs. That is the part a course cannot do.

14The detail, folded away

Everything else the record holds

The career branches in full, how AI is already showing up in the day-to-day, and the questions people ask about this job. Here when you want them, out of the way while you decide.

Where it leads next, rung by rung

Where it leads

The career path, and where it branches

Lead Global Insurance Analyst is a start, not a ceiling. Each step below asks for new skills and hands back more autonomy.

Insurance Programme Manager (L5)
3-5 years
This is a significant step up, moving from architecting solutions to managing the entire programme and stakeholder relationships.
- Strategic Risk Financing: Evaluating different risk transfer mechanisms (e.g., captives, self-insured retentions) and making recommendations on optimal structures.
- Budget Management (P&L): Owning the insurance budget (often £500K-£2M), forecasting costs, and managing variances.
- Vendor Management (Strategic): Overseeing relationships with all key insurance-related vendors, ensuring service level agreements are met.

Working with AI on the job

Working with AI

Where AI is starting to help

Imagine cutting down on the tedious, repetitive tasks that eat into your week, freeing you up for more strategic work. That's exactly what AI can do for a Lead Global Insurance Analyst.

In the world of global insurance, you're constantly dealing with mountains of documents, complex data, and endless inquiries. AI isn't here to replace your expertise; it's here to supercharge your productivity, helping you manage information faster, analyse risks smarter, and communicate more efficiently. We're investing in these tools, and we want you to be at the forefront of using them.

Policy & Invoice OCR Automation

Use AI-powered Optical Character Recognition (OCR) to automatically extract key data points like policy numbers, limits, premiums, and dates from hundreds of PDF binders, endorsements, and invoices. This data then flows directly into your RMIS, saving you hours of manual data entry and reducing errors, especially during those frantic renewal periods.

Predictive Claims Analysis

Leverage AI tools to go beyond basic trend analysis. You'll feed historical loss runs into these systems to identify non-obvious patterns – perhaps a specific type of claim is spiking in a particular region, or certain operational changes correlate with increased incidents. This flags areas for targeted loss control interventions, turning reactive claims management into proactive risk mitigation.

Contractual Risk Review

Employ an AI assistant to perform a first-pass review of insurance requirement sections in client or vendor contracts. This tool can quickly flag non-standard or high-risk clauses, such as unusual indemnification language or waivers of subrogation, for your expert review. It accelerates the legal review process and ensures we're not taking on undue risk.

Broker Request Triage & Drafting

Use AI to draft initial responses to routine broker inquiries and data requests. For example, if a broker asks for updated property values for the Q3 renewal submission, the AI can pull the relevant data from the RMIS and draft a professional email. You just need to review, tweak, and hit send, freeing up significant time for more complex analytical tasks.

Common questions

How do you become a Lead Global Insurance Analyst?

Common routes in include Senior Global Insurance Administrator/Analyst (L3) (3-5 years), Finance Analyst / Data Analyst (with insurance exposure) (4-6 years) and Consultant (Insurance/Risk Management) (3-6 years). Times vary with prior experience.

Where can a Lead Global Insurance Analyst progress to?

This role can lead on to Insurance Programme Manager (L5) (3-5 years), depending on the skills you build.

What level is a Lead Global Insurance Analyst in the UK?

This role aligns to RQF Level 5 on the UK framework, a guide to the depth of qualification it maps to, not a hard entry bar.

What new skills matter most for a Lead Global Insurance Analyst?

Increasingly, Prompt Engineering & LLM Integration for Finance. These are the areas where the higher-paid, future-proof work is heading.

The honest bit

You’ve started things before

Most of them were built for a room full of people who aren’t you. A cohort moves on whether or not your week allowed it, and by the third week the thing you’re behind on becomes the reason you stop opening it.

There’s no cohort here, and no timetable to fall behind. Before anything starts, Zavmo asks when you’re sharpest and how long you can realistically sit down for, then builds the sessions around those answers. A bad fortnight changes your pace. It doesn’t put you behind.

And you only pay once you start learning. Searching and planning are free, and you can cancel any time — so the cost of finding out is an afternoon, not a year.

What it costs

Less than one coaching session. Every month.

A single career-coaching hour costs more than a month of this, and it ends when the hour does. Zavmo doesn't. It's £70 a month, about £2.30 a day, for a companion that knows a Lead Global Insurance Analyst, works on the job you actually do, and keeps going at your pace rather than a timetable's.

Searching and planning stay free. You only pay when you start learning.
Your credits are yours. Regulated, and they don't vanish when a subscription ends.
Cancel any time and billing stops. No notice period, no minimum term.

Your path, personalised

You have the map. Walking it is the part we do together.

This route runs to 23 national skill standards. That is a real journey.

Zavmo shapes a learning experience as unique as you are. It fits how you learn, your pace and the work you already do. Every step stays benchmarked to recognised national standards. That’s the plan for becoming a Lead Global Insurance Analyst: personal to you, and it still counts. The first steps are free.

Independent research finds well-designed intelligent tutoring performs nearly as well as one-to-one human tutoring: VanLehn (2011), Educational Psychologist.

A private tutor in the UK averages £35–40 an hour . Zavmo is £70/month.

A Zavmo curriculum screen: a three-month plan built for a customer support lead, five Ofqual-regulated units and a hundred and ninety-six credits. — A real plan on learn.zavmo.ai: Ofqual-regulated units, credits, and a three-month run at your own pace.

Start free No commitment. See your first steps free.

15Where to go from here

Other roles at Level 5

Same depth of qualification, different job. Useful if the work appeals but this particular role does not.

Other roles in Finance roles

Stay in the field you know and move sideways rather than up.

If you leave this industry

The skills you gain here—advanced data analysis, system architecture, risk modelling, and stakeholder management—are highly transferable. You could move into broader finance roles (e.g., financial planning & analysis, treasury), data science positions in other industries, or even into consulting, helping other companies optimise their risk programmes.

Not sure this is the right direction?

Work out what you actually want from work first, then come back and see which roles fit it. Takes about ten minutes.

You're not behind. You're right on time. The shift is only just beginning. Your role won't look the same in two years. Be the one who leads the change, not the one it happens to. Build my plan, free Here's the first ten minutes: a 2-minute confidence check → your personalised roadmap → meet the tutors matched to you. No card, cancel any time. No card. Build your plan, see your roadmap and meet the twelve tutors matched to you. All free. When you're ready to start learning, it's £70 a month, billed monthly. Cancel any time and billing stops.

Lead Global Insurance Analyst

What's rising in its place

Prompt Engineering & LLM Integration for Finance

Skills this role draws on

Technical

How you actually get there, here

Senior Global Insurance Administrator/Analyst (L3)

Finance Analyst / Data Analyst (with insurance exposure)

Consultant (Insurance/Risk Management)

The credential is what you can do today. These are what keep you valuable.

Roles this leads to

No two people are taught the same way. This is one-to-one, not one-to-many.

A conversation, not a course

No two people run this the same way

This isn't a certificate you file away. It's a passport to the life you're designing.

Everything else the record holds

The career path, and where it branches

Insurance Programme Manager (L5)

Where AI is starting to help

Policy & Invoice OCR Automation

Predictive Claims Analysis

Contractual Risk Review

Broker Request Triage & Drafting

Common questions

You’ve started things before

Less than one coaching session. Every month.

You have the map. Walking it is the part we do together.