UK

United Kingdom · Sustainability · Senior (5-8 years)

Senior Climate Risk Manager

Here is the whole job, in plain words. What it is, 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.

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  • Experience bandSenior (5-8 years)
  • Direct reportsNo direct reports
  • Reports toClimate Risk Manager
  • UK framework levelUsually a manager, or the deepest specialist in a team

Also advertised as Senior Climate Risk Specialist · Climate Risk Lead · ESG Risk Manager (Climate Focus)

Built on 43,079 real UK job descriptions we analysed · grounded in what real qualifications cover

Two short quizzes about you

1From this job to a course

The qualifications matched to this job

No confident skill match yet for Senior Climate Risk Manager. The closest we hold is below.

IRM's Level 5 International Certificate in Financial Services Risk Management Institute of Risk Management · Level 5 · covers 1 of 1 standard

Matched from the standards this job is measured against: a suggestion, not an official ruling.

The units you would start with

Risk context, objectives and assessment IRM's Level 5 International Certificate in Financial Services Risk Management
Risk in Financial Services CISI Level 3 Certificate In Risk in Financial Services

The future skills this job leans on

Data Fluency turning numbers into a decision
AI Governance Fluency using AI responsibly
Sustainability Fluency building care for people and planet into the work
Change Fluency taking people through change
Systems Fluency seeing the whole picture
Your Plan Illustration

Built for Senior Climate Risk Manager

2 units that map to this job, from the qualifications that cover it.

  1. Risk context, objectives and assessment Institute of Risk Management · covers 1 of 1 standards Level 5
  2. Risk in Financial Services Chartered Institute for Securities & Investment · covers 1 of 1 standards Level 3
These are the real units behind this job, in the order they rank for it. Nothing here is marked done, because this plan has not been started by anyone yet. Yours would fill in as you go.

2AI and this work

Will AI change your work as a Senior Climate Risk Manager?

Nobody can say exactly how. Here is what this job is being asked for next, and where to start.

The new skills this role is being asked for

  • Biodiversity & Nature-related Risk Assessment (TNFD)
  • Advanced Data Storytelling & Visualisation
Why each one is rising

The future skills this job leans on

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

What happens when you start

Next, a free account. We build your Senior Climate Risk Manager plan as you set up, starting with the free Growth Mindset module. No card.

Your first Future Fluency module is free. After that, your AI tutor is £70 a month.

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Keep this read. One email with what AI is changing in this job, the new skills it asks for and where to start free. Nothing else follows unless you confirm your address.

3What this role really is

Makes sense of climate risks and turns them into clear actions a business can take, from supply chain to investment decisions.

4What you'd actually use

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

Climate Risk Platforms (e.g., Jupiter Intelligence, Cervest, Moody's Climate Solutions) Advanced

Configuring custom climate scenarios, stress-testing model assumptions, integrating our proprietary asset data, and training business users on how to interpret the platform outputs. You'll be pushing these tools to their limits.

GIS Software (e.g., ArcGIS Pro, QGIS) Advanced

Building custom maps from raw geospatial data (like flood plains or wildfire perimeters), performing spatial analysis to identify high-risk zones, and automating map production with Python scripts for our asset portfolio.

ESG & GRC Platforms (e.g., Workiva, Persefoni, ServiceNow GRC) Expert

Designing and building the climate risk module within our GRC system, automating data flows from source systems, and creating real-time dashboards for risk committees and board reporting. You'll be the architect of our internal climate risk reporting system.

Data Analysis & Visualisation (e.g., Python [pandas, GeoPandas], Power BI, Tableau) Expert

Writing complex Python scripts for data ingestion, transformation, and scenario modelling. Developing interactive, multi-layered dashboards in Power BI or Tableau that allow stakeholders to self-serve climate risk insights and explore different scenarios.

Advanced Excel (e.g., Power Query, Scenario Manager, VBA) Expert

Building robust, auditable financial models to quantify climate impacts (e.g., calculating Climate VaR). You'll use Power Query to automate data cleaning and ingestion from messy legacy sources, ensuring model integrity.

5What 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 choiceComing in Where you are nowThe step above
Project Methodology & Tool Selection Follows pre-defined methodologies; uses assigned tools. Escalates any deviations. Chooses appropriate methodologies and tools for routine tasks within established guidelines. Consults on new tool adoption. Defines and justifies methodologies for complex projects. Selects and recommends new tools or platforms within budget. Informs manager of choices, consults on major strategic implications.
Data Interpretation & Assumption Setting Interprets data based on clear instructions. Flags any unusual data points for supervisor review. Independently interprets data for routine analyses. Proposes reasonable assumptions for missing data, with manager review. Critically evaluates complex, ambiguous data sets. Develops and defends key assumptions for models, consulting with manager for high-impact assumptions. Accountable for data integrity within projects.
Recommendations to Stakeholders Contributes data and analysis to team recommendations. Does not present directly to senior stakeholders. Presents findings and recommendations for routine projects to internal peers and mid-level managers. Seeks manager review for sensitive topics. Presents and defends complex climate risk findings and strategic recommendations to senior leadership (e.g., Head of Operations, Group Risk Committee). Consults with manager on framing and potential political implications.
Mentorship & Guidance Receives guidance and feedback from senior team members. Provides informal guidance to new joiners on processes and tools. Formally mentors 1-2 junior analysts, providing technical guidance, code reviews, and career advice. Accountable for their technical development within project contexts.

6How you'll be judged

The scoreboard, and what is not on it. The hard targets, how often each is actually looked at, and the quiet signals that never reach a dashboard.

Scenario Model Reliability
How well your climate scenario analysis models hold up under internal audit and expert review.
Target · Zero 'major' audit findings related to model methodology or data integrity.

Your physical risk model for coastal assets passes the internal audit with only minor recommendations for documentation clarity, no material errors found in calculations or assumptions.

Project Delivery Rate (On Time/Budget)
The percentage of assigned climate risk assessment projects delivered within agreed timelines and budget.
Target · 90% of projects delivered on time and within budget.

You lead the climate-related supply chain risk assessment, delivering the final report to the Operations team two days before the deadline, allowing them ample time for review.

Data Quality & Completeness for Key Risk Areas
The accuracy and completeness of climate-related data for specific high-priority risk areas you own.
Target · Maintain >95% data completeness and <2% error rate for your assigned data sets (e.g., Scope 3 emissions factors, asset-level physical risk data).

After implementing new data collection processes, the accuracy of our Scope 3 emissions data for transport logistics improves from 85% to 96% within six months.

Mentee Development & Performance
The growth and performance of junior team members you formally mentor.
Target · At least one L1/L2 analyst you mentor receives a 'high performance' rating or is promoted within 18 months.

A junior analyst you've been working with for a year successfully takes ownership of a small, recurring climate risk report, reducing your direct involvement by 70%.

Clarity of Risk Communication
How effectively you translate complex climate science and financial models into clear, actionable insights for non-experts.
  • Stakeholders consistently report understanding your presentations and recommendations. You're asked to present to senior leadership regularly. Colleagues often ask you to 'translate' complex topics for them. Your reports are concise and easy to follow, even for those outside the sustainability bubble.
Influence & Collaboration
Your ability to build consensus and drive action across different departments, often without direct authority.
  • You're proactively included in relevant cross-functional planning meetings. Other teams seek your input on climate-related aspects of their projects. You successfully get Finance to allocate resources for a climate risk project you championed. People actually listen to your recommendations.
Proactive Problem Solving
Your knack for identifying potential issues before they become big problems and proposing practical solutions.
  • You flag an emerging regulatory change that impacts our reporting before the Legal team does. You spot a discrepancy in a third-party climate model's output and investigate it proactively. You bring solutions, not just problems, to the table.
Documentation & Knowledge Sharing
The quality and accessibility of the documentation for models, methodologies, and processes you own.
  • New team members can quickly get up to speed on your projects using your documentation. You regularly contribute to our internal knowledge base. Your work is easily auditable and replicable by others.

7Would you like it

Both sides. What people enjoy, and what grinds them down.

What people enjoy
Making a Tangible Impact

You'll get a real buzz from seeing your analysis directly inform a business decision, whether it's adjusting a supply chain strategy or influencing a capital expenditure plan. It's not just theoretical work; it's about real-world change.

Your analysis on water scarcity risk leads to a £2M investment in water-efficient manufacturing processes, directly reducing operational risk and saving costs.

Solving Complex Puzzles

If you love grappling with intricate problems that blend science, finance, and strategy, you'll find plenty to keep you engaged. Every day brings a new challenge in connecting disparate data points and building a coherent picture.

You successfully model the financial impact of a new carbon tax policy on our product portfolio, despite limited data and multiple variables, providing clear recommendations to the product team.

Continuous Learning & Growth

The climate risk space is constantly evolving. You'll be exposed to new scientific models, regulatory frameworks, and analytical tools. If you're someone who thrives on staying ahead of the curve and deepening your expertise, you'll love it here.

You spend time each week researching the latest IPCC report findings or new TNFD guidance, then share key takeaways with the team, positioning yourself as an internal expert.

What frustrates people
  • The 'Scope 3 Nightmare': Spending 60% of your time chasing, cleaning, and making heroic assumptions about incomplete supplier data.
  • Fighting for budget against short-termism: Trying to justify a multi-million pound investment to mitigate a 2040 risk.
  • Regulatory whiplash: Just as you've aligned to TCFD, you're now re-mapping everything for CSRD, SEC, and IFRS S2.
  • Explaining uncertainty to people who demand certainty: Communicating probabilistic outcomes to executives who just want 'the number'.
  • The 'black box' model anxiety: Relying on third-party climate risk models whose inner workings are proprietary, making it hard to defend their outputs.
What this role does not give you
  • A purely technical, heads-down role with minimal stakeholder interaction.
  • Immediate, short-term gratification for every piece of work.
  • A static, predictable environment where processes never change.
  • Unlimited budget for every climate-related initiative.

8Who you work with

This role directly influences our ability to identify, quantify, and mitigate climate-related financial risks. Your work feeds into strategic planning, capital allocation, and our public disclosures, ultimately protecting company value and enhancing our reputation.

Inside the business
  • Climate Risk Manager (your boss)
  • Finance team (especially Group Risk and Treasury)
  • Operations and Supply Chain leads
  • Legal and Compliance
  • Product Development
  • Sustainability team peers
Outside the business
  • External auditors
  • Climate risk platform vendors
  • Industry working groups
  • Consultants (occasionally)

9What you need before you start

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

  • Proven experience (5-8 years) specifically in climate risk assessment, ESG risk, or a closely related field within a corporate or consulting environment.
  • Demonstrable experience in building and validating quantitative models (e.g., financial, risk, or climate impact models).
  • A track record of successfully leading projects and delivering actionable insights to senior stakeholders.
  • Strong analytical and problem-solving skills, with a keen eye for detail and data integrity.
  • Excellent communication skills, both written and verbal, with the ability to simplify complex topics for diverse audiences.
  • Proficiency in at least one data analysis language (e.g., Python) and advanced Excel for modelling.

10What to practise next

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

Geospatial Data Science for Climate Risk

Physical climate risk is inherently location-specific. Moving beyond basic GIS mapping to advanced geospatial data science (e.g., using GeoPandas in Python, integrating satellite imagery) will allow for far more granular and accurate asset-level risk assessments, which is where the market is heading.

Spatial analysis techniques (e.g., buffering, over · Working with raster and vector data formats (e.g., · Integrating remote sensing data (e.g., from Copern · Developing custom Python scripts for automated geo · Visualising complex spatial data effectively

  • This month: Complete an online tutorial on GeoPandas in Python.
  • Next quarter: Experiment with integrating a new satellite imagery dataset into one of your physical risk assessments.
  • Within 6 months: Develop a Python script to automate a recurring geospatial analysis task.
  • Within 12 months: Explore how machine learning can be applied to identify high-risk assets from geospatial features.

Quick win: Find a free, publicly available geospatial dataset related to climate (e.g., flood maps) and try to overlay it with some of our dummy asset locations in QGIS or Python this week.

Machine Learning for Climate Risk Forecasting & Optimisation

While traditional models are important, machine learning offers new ways to forecast climate-related impacts (e.g., extreme weather events, commodity price volatility) and optimise mitigation strategies (e.g., supply chain resilience). This will move us beyond 'what if' scenarios to more predictive capabilities.

Time series forecasting models (e.g., ARIMA, Proph · Regression and classification techniques for risk · Optimisation algorithms for resource allocation (e · Model interpretability and explainability (e.g., S · Handling uncertainty in ML models for climate appl

  • This month: Review basic machine learning concepts relevant to forecasting (e.g., regression, time series).
  • Next quarter: Take an online course on applying ML in Python for financial or environmental data.
  • Within 6 months: Build a simple ML model to predict a climate-related variable (e.g., energy price volatility due to weather).
  • Within 12 months: Explore how ML could optimise a specific climate mitigation strategy within our operations.

Quick win: Try using a simple linear regression or a basic time series model in Python to forecast a climate-related metric (like historical temperature anomalies or energy consumption) using publicly available data.

11Staying current once you are in

What people here do to keep up
  • Actively participate in industry working groups or professional associations focused on climate risk or sustainable finance.
  • Attend relevant conferences or webinars to stay updated on emerging trends, regulations, and methodologies.
  • Pursue advanced training in data science, geospatial analysis, or financial modelling if you're looking to deepen your technical expertise.
  • Seek out mentorship opportunities from senior leaders within the company or external experts in the field.
  • Contribute to internal knowledge sharing sessions, presenting your insights and learnings to the wider team.

12The rising capability

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.

Biodiversity & Nature-related Risk Assessment (TNFD)

Beyond climate, nature loss is becoming a critical financial risk. Regulators and investors are increasingly demanding disclosures on nature-related impacts and dependencies, with TNFD (Taskforce on Nature-related Financial Disclosures) being the next big framework after TCFD. Ignoring this is no longer an option.

  • LEAP Approach (Locate, Evaluate, Assess, Prepare)
  • Nature-related dependencies and impacts
  • Ecosystem services valuation
  • Biodiversity metrics and data sources
  • Integration with existing climate risk frameworks

Advanced Data Storytelling & Visualisation

As climate risk data gets more complex, the ability to distil it into compelling, easy-to-understand narratives and visualisations for non-technical audiences (especially the Board) becomes absolutely critical. A brilliant model is useless if no one understands what it's telling them.

  • Principles of effective data visualisation (e.g.,
  • Narrative structures for complex data (e.g., 'situ
  • Interactive dashboard design principles (Power BI/
  • Tailoring visualisations for different audiences (
  • Using animation and dynamic elements to explain cl

13What you’ll use

What you’ll use

Skills this role draws on

Technical

  • TCFD Framework Implementation
  • Climate Scenario Analysis
  • Physical & Transition Risk Quantification
  • GHG Accounting & Abatement Costing
  • Double Materiality Assessment
  • Climate Risk Integration into ERM

14The pathway

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. 1

    Climate Risk Specialist (L2) to Senior Climate Risk Manager (L3)

    2-3 years

    Skills to master

    • Taking full ownership of complex analytical tasks, beginning to design methodologies, effectively communicating findings to mid-level stakeholders, and providing informal guidance to new joiners.

    You're ready to move on when

    • Successfully delivered multiple end-to-end climate risk assessments for specific business units or risk types.
    • Proactively identified and resolved data quality issues without constant supervision.
    • Consistently received positive feedback on clarity and impact of presentations to internal teams.
    • Demonstrated initiative in learning new climate risk methodologies or tools.
  2. 2

    ESG Analyst (with Climate Focus) to Senior Climate Risk Manager (L3)

    3-4 years

    Skills to master

    • Deepening expertise in quantitative climate risk modelling, mastering TCFD reporting, and developing strong influencing skills across different business functions.

    You're ready to move on when

    • Has a strong track record in ESG reporting, with a clear focus on climate-related disclosures.
    • Can demonstrate experience in quantifying environmental impacts and translating them into business terms.
    • Has taken the lead on specific climate-related projects or workstreams within their previous role.
    • Shows a strong aptitude for analytical problem-solving and model building.
  3. 3

    Financial Risk Analyst (with Sustainability Interest) to Senior Climate Risk Manager (L3)

    3-5 years

    Skills to master

    • Gaining deep knowledge of climate science and its specific impacts, understanding GHG accounting, and learning to apply financial risk principles to climate-specific scenarios.

    You're ready to move on when

    • Proven experience in financial modelling, stress testing, and scenario analysis.
    • Demonstrated strong interest and self-study in climate change and sustainability topics.
    • Ability to quickly grasp new technical domains and apply existing analytical skills.
    • Excellent attention to detail and ability to build robust, auditable models.

15Where this role leads

The long view: This role can lead to director-level climate and ESG risk positions, or into wider enterprise risk management.

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 Senior Climate Risk Manager is actually changing.

Where it leads

Roles this leads to

How you would learn this

One to one, on the work you already do

A tutor sets the task against your own job and marks the reasoning, at your pace. There is no cohort to fall behind.

A lesson from Risk context, objectives and assessment, worked against Senior Climate Risk Manager.

Risk context, objectives and assessment Level 5

Applied to your work in Senior Climate Risk Manager

The objective of this unit is to enable learners to examine an organisation's internal and external contexts, including its strategic objectives and operating environment, in relation to risk management. Learners will understand the importance of framing objectives and KPIs, examine risks using various techniques, and establish the significance of identified risks linked to risk appetite and tolerance.

How the thinking builds
  1. 1 Remember
  2. 2 Understand
  3. 3 Apply
  4. 4 Analyse
  5. 5 Evaluate
  6. 6 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.

It is £70 a month, billed monthly. Your free first module is Future Fluency, and you can cancel any time.

See Your Progress Grow Illustration
Senior Climate Risk Manager
  • TCFD Framework Implementation
  • Climate Scenario Analysis
  • Physical & Transition Risk Quantification
  • GHG Accounting & Abatement Costing
  • Double Materiality Assessment
  • Climate Risk Integration into ERM
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.

16The 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

Senior Climate Risk Manager is a start, not a ceiling. Each step below asks for new skills and hands back more autonomy.

  1. Lead Climate Risk Strategist (L4)

    3-5 years

    This is a significant step up, moving from leading projects to architecting the entire climate risk framework and methodologies for the organisation. You'll become the go-to technical expert.

    • Enterprise-level Scenario Design Defining the company's approach to climate scenario analysis.
    • Regulatory Foresight Anticipating future regulatory requirements and building capabilities ahead of time.
    • Advanced Model Governance Establishing standards for model validation and documentation across the team.
    • Cross-functional Program Management Overseeing multiple climate risk workstreams simultaneously.

  2. Climate Risk Manager (L5)

    4-6 years

    This path shifts you into a formal people management role, owning the entire climate risk programme, budget, and team. You'll be managing other senior professionals.

    • Programme Leadership Overseeing the entire climate risk programme, not just individual projects.
    • Vendor Management Managing relationships with key climate risk platform vendors.
    • Strategic Roadmap Development Defining the multi-year strategy for climate risk management.
    • P&L Acumen Understanding the financial implications of climate risk decisions on the P&L.
Working with AI on the job

Working with AI

Where AI is starting to help

Let's be honest, a big chunk of climate risk work involves sifting through mountains of data, dense reports, and regulatory documents. It's essential, but it can be a real time sink. What if you could automate the grunt work and focus on the high-value analysis and strategic thinking? That's exactly where AI comes in.

We're not talking about replacing your brain; we're talking about giving you a superpower. Our internal AI Hub offers tools and guidance specifically tailored for climate risk professionals. You'll use AI to chew through data faster, summarise complex information, and even draft parts of your reports, freeing you up to do the deep, critical thinking that truly matters.

Scope 3 Data Harvester

Imagine using AI-powered document extraction to automatically pull emissions data, spend figures, and activity data from thousands of supplier PDFs, reports, and invoices. This radically accelerates your GHG inventory creation, turning weeks of manual work into days. You'll spend your time validating, not transcribing.

IPCC & Regulation Synthesizer

Deploy NLP models to scan and summarise those dense, 1000-page IPCC reports or new regulatory filings (like CSRD). The AI highlights the specific physical and transition risks most relevant to our industry and asset locations, giving you the key insights in minutes, not days.

Rapid Site Risk Assessor

Use an AI assistant to instantly collate location-specific climate data for a potential new factory or acquisition. It pulls historical weather events, projected sea-level rise, and local policy information in minutes instead of days, giving you a quick, comprehensive overview for initial due diligence.

Disclosure Narrative Drafter

Leverage a generative AI model, trained on best-practice TCFD reports, to create the first draft of the narrative for your annual climate disclosure. It outlines methodology, findings, and strategic responses, giving you a solid starting point for human refinement and ensuring consistency.

Common questions

Common questions

How do you become a Senior Climate Risk Manager?

Common routes in include Climate Risk Specialist to Senior Climate Risk Manager (2-3 years), ESG Analyst (with Climate Focus) to Senior Climate Risk Manager (3-4 years) and Financial Risk Analyst (with Sustainability Interest) to Senior Climate Risk Manager (3-5 years). Times vary with prior experience.

Where can a Senior Climate Risk Manager progress to?

This role can lead on to Lead Climate Risk Strategist (3-5 years) and Climate Risk Manager (4-6 years), depending on the skills you build.

What new skills matter most for a Senior Climate Risk Manager?

Increasingly, Biodiversity & Nature-related Risk Assessment (TNFD) and Advanced Data Storytelling & Visualisation. These are the skills our record of this role lists as growing.

Free tools

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17Where 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.

 More jobs in sustainability

Stay in the field you know and move sideways rather than up.
If you leave this industry

The skills in this role transfer well. Climate risk consulting, an ESG team at a financial institution, a climate tech company, or policy work for a think tank or regulator are all possible directions.

This role profile is © 2026 Growth Engineering Technologies Ltd. Built from UK occupational standards and regulated qualification data, and written for Zavmo.

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