Careers

Role
Join an innovative climate research institute dedicated to advancing the understanding and application of climate risk assessments, developing innovative methodologies.

In this role, you will design and deliver integrated, next-generation frameworks to assess climate risk in real estate, evaluating acute and chronic physical hazards, energy-efficiency performance and retrofit potential, and exposure to policy and market drivers (building codes, EPCs/labels, carbon pricing). You will also assess potential mitigants such as resilience and decarbonisation measures to translate asset-specific vulnerabilities into clear financial outcomes (CapEx/OpEx, NOI, valuation, PD/LGD, and stranded-asset risk). The methodologies and tools you build will be used by corporates and investors to quantify, price, and manage climate-related risks and opportunities at both asset and portfolio level.

You will work in a collaborative and interdisciplinary environment, leveraging scientific research to deliver methodologies and outcomes that drive decision-making across industries.

Responsibilities

• Conduct advanced research on climate risk quantification for real estate assets considering the main aspects from physical to transition risk, with a large focus on policy and market risk drivers,
• Translate technical outputs into financial metrics for lenders, insurers, and asset owners.
• Design asset-specific methodologies that quantify how physical risk, energy efficiency, and retrofit options translate into asset specific risks; adapt and improve existing numerical models (e.g., CRREM, building archetype/stock models, LCA models) to local contexts and data.
• Assist integration of developed model into reproducible pipelines (versioning, documentation, and model validation/back-testing).
• Integrate EPC label datasets; evaluate data coverage/quality and propose pragmatic substitutions or calibration strategies where needed. Explore the use of additional data such as LCA/EPD.
• Collaborate with interdisciplinary teams to create innovative tools and models for climate risk assessments that address real-world challenges.
• Engage directly with financial institutions and real-estate operators to align methods with regulatory requirements and real-world workflows.
• Publish high-impact research in scientific journals and contribute to conferences, workshops, and industry forums.
• Stay informed on emerging climate policies, technological advancements, and market trends, in relation to regulations, potential applications, and quantitative methods, to incorporate them into assessments and recommendations.

Requirements

• Advanced degree (PhD or Master’s + experience) in building/energy systems, environmental engineering, economics, data science, or a related field, with relevant components related to real estate and climate risks.
• 5+ years applying quantitative methods to the built environment/real estate (research, consultancy, finance, or industry).
• Proven expertise in transition-risk modelling for real estate, including Scope 1–3 GHG accounting and scenario analysis (e.g., NGFS/IEA/custom).
• Strong grasp of building physics & systems (HVAC, envelope, DHW, controls) and energy performance metrics (EUI, load profiles, EPC/labels).
• Hands-on with retrofit analysis: technical/economic feasibility, abatement cost curves, and sequencing of measures.
• Strong command of Python or similar languages to develop quantitative models and analyze complex datasets.
• Ability to translate technical outputs into financial impacts.
• Clear, concise communication for both technical and non-technical audiences; strong writing for methods notes and client materials.
• Demonstrated interdisciplinary collaboration (climate, engineering, economics, data engineering).

Attractive salary and bonus, healthcare and pension plan coverage.

The salary will be determined according to EDHEC's pay scale, the candidate's qualifications and experience.

To apply, please send your CV and a cover letter to: [email protected].

Role
Great opportunity to join a growing and global team that is bringing new and high-quality data and rating services to investors, focusing on the estimation of climate risks’ financial materiality. Climate physical and transition risks will be taking an increasing part of investors’ portfolios and corporates’ balance sheets in the near future, creating a need for assessing and pricing them.

We are looking for a full-stack developer skilled in NextJs, React.js, JavaScript, and TypeScript for front-end development, as well as Python for back-end development.

The role involves taking over a climate rating website, improving its existing features, and developing new functionality and contributing to its aesthetic and user experience (UX). You will be responsible for ensuring that the platform remains efficient, secure, and aligned with modern standards. Collaboration with teams to gather requirements and troubleshoot issues is essential.

Responsibilities

• Develop and maintain front-end components using TypeScript, JavaScript, React.js and NextJs within our modern stack.
• Develop APIs for CRUD operations on a MongoDB database, using Python and FastAPI.
• Write clean, efficient, and testable code using automated testing frameworks such as Jest and Cypress.
• Work closely with DevOps for application deployment and maintenance on AWS cloud infrastructure.
• Collaborate with cross-functional teams to define, design, and implement new features that align with business goals.
• Maintain and update WordPress-based content and pages, ensuring consistency with the broader product ecosystem.
• Troubleshoot and resolve production issues across the full stack to ensure optimal performance and reliability.

Requirements

• 5+ years of professional coding experience.
• Degree in Computer Science or Engineering preferred.
• Comprehensive understanding of NextJs, React.js and its core principles.
• Proficiency in JavaScript (preferably TypeScript).
• Experience with Python and FastAPI.
• Experience with Wordpress would be advantageous.
• Ability to create basic mockups using tools such as Figma would be a plus.
• Ability to adapt and perform multiple roles.
• Strong work ethic and self-management skills.
• Ability to work independently with minimal supervision.

To apply for this offer, please send a CV and a cover letter to: [email protected].

EDHEC Climate Institute is looking for a motivated and technically strong Data Science Intern to support the development of our infrastructure ratings. The successful candidate will collaborate closely with senior team members on real-world data science problems.

The production of climate risk ratings relies on:

• Sophisticated climate risk models complemented by robust analytics
• A structured, production-grade codebase supporting model simulations and the generation of ratings

The code structure must be designed with reliability, efficiency, and maintainability as core principles. The successful candidate will help improve existing code and structures, and assist in developing new ones. This requires strong coding and organizational skills.

This internship is a great opportunity to work at the interface of climate science, finance, and regulation, while developing strong analytical and coding skills.

Moreover, this internship is a potential pathway to a full-time Junior Data Scientist position, subject to performance.

Duration: 6 months

Key Responsibilities

• Assist in improving the maintainability, efficiency, and robustness of the codebase
• Assist in building and maintaining data pipelines
• Develop analytical tools to improve the traceability of results
• Support data analysis, modeling, and data processing tasks
• Produce clean, well-structured, and well-documented code
• Contribute to the documentation of methods and workflows

Required Skills & Qualifications

• Strong general programming skills, with a focus on logic, readability, efficiency, automation, and maintainability
• Solid proficiency in Python, ideally with experience in object-oriented Python
• Familiarity with common Python libraries for data science (e.g. pandas, numpy)
• Experience with collaborative version-control tools (Git)
• Meticulous and analytical mindset, with a strong interest in problem-solving
• Ability to work independently under minimal supervision
• At least a bachelor’s degree in a technical curriculum such as computer science, finance, economics, or physics

Nice to Have

• Proven experience with data science projects
• A master’s degree in a technical curriculum
• Basic knowledge of financial concepts and modelling
• Interest in climate change–related topics

Profile We Are Looking For

You are rigorous and enjoy solving concrete problems with data. You care deeply about code quality and take pride in improving your code’s readability and efficiency.

You are curious and keen to expand your knowledge in climate finance.

You want to grow as a professional data scientist, and see this internship as a solid stepping-stone towards that objective.

We value clean, production-ready code as much as correct results.

To apply for this offer, please send a CV and a cover letter to: [email protected].

Join a growing and global team focused on measuring climate risks and bringing new data and rating services to investors. As climate physical and transition risks increasingly impact investors’ portfolios and corporate balance sheets, the need for high-quality climate risk data and assessment tools is rising.

EDHEC Climate Institute is looking for a Sustainability Data Analyst Intern to support our team in collecting, processing, and analysing sustainability-related data for infrastructure assets. This internship offers a unique opportunity to gain hands-on experience in data extraction, carbon emissions analysis, and geospatial analysis.

Beyond core data processing tasks, the internship can be tailored to the candidate’s interests and expertise. This could include research projects and case studies on climate risk assessment and financial materiality analysis, allowing you to contribute meaningfully while expanding your expertise.

Duration: 3 to 6 months

Key Responsibilities

• Data Collection & Cleaning: Verify, clean, and structure sustainability- and climate-related data from reports and other sources.
• Data Quality & Accuracy Checks: Conduct detailed data validation and consistency checks to ensure high data quality across datasets.
• Accuracy Verification: Ensure the precision of extracted data, including asset attributes and boundaries.
• Geospatial Analysis: Use tools such as QGIS or ArcGIS to extract, review, and analyse asset boundaries and spatial data.
• Knowledge Management & Documentation: Support the setup and maintenance of team documentation, including Notion workspaces, internal wikis, and process guides to improve data workflows and knowledge sharing.

Ideal Candidate

We are looking for candidates who:

• Have a strong interest in sustainability, climate risks, and environmental data.
• Have some experience and/or a strong interest in climate-related research or data work.
• Are highly detail-oriented, with a strong eye for identifying data inconsistencies and errors.
• Are organised and methodical, with an interest in improving processes and documentation.
• At least a bachelor’s degree in a technical curriculum such as computer science, finance, economics, or physics
• Can work independently, take ownership of tasks, and are eager to learn new skills.
• Preferably have basic proficiency in Python for data processing or analysis.
• Preferably have prior exposure to geospatial data and tools such as QGIS or ArcGIS.
• Preferably have experience setting up or maintaining documentation tools (e.g. Notion, Confluence, or internal wikis).

What You’ll Gain

• Practical experience in sustainability data analysis and climate risk research.
• Hands-on exposure to geospatial analysis and real-world asset data.
• Experience working with data quality assurance and internal knowledge systems.
• A flexible internship experience tailored to your skills, interests, and performance.
• The opportunity to contribute meaningfully to a mission-driven and growing team.

To apply for this offer, please send a CV and a cover letter to: [email protected].