A hub for state-of-the-art sustainable finance R&D projects
Who we are

Guiding financial decision makers towards low-carbon and positive impact solutions

We are a team of ESG analysts working in tandem with the Data lab comprising a range of different technical backgrounds (corporate and market finance, climate change, social impact assessment, and more) dedicated to accelerating the allocation of financial assets to sustainable solutions. Our team aims at guiding financial decision makers towards low-carbon and positive impact solutions.
Portfolio
climate
alignment
Develop tailor made methodologies to estimate alignment of financial portfolios with climate scenarios. We co-develop strategies to drive emission reduction of investments (GFANZ commitments).
Regulation
compliance
Creating and supporting the implementation of ESG risk management techniques in compliance with sustainable finance regulation (SFDR, Taxonomy…).
Financial
engineering
for green
solutions
Support organizations searching to finance their low-carbon solutions. We integrate financial expertise and environmental sciences.
Financial
engineering
for green
solutions
Study of correlation and causality between extra-financial (ESG) criteria and financial performance of assets.
case studies

Methodology for projecting GHG emissions based on geographical data from NGFS climate scenarios

We are a team of ESG analysts working in tandem with the Data lab comprising a range of different technical backgrounds (corporate and market finance, climate change, social impact assessment, and more) dedicated to accelerating the allocation of financial assets to sustainable solutions. Our team aims at guiding financial decision makers towards low-carbon and positive impact solutions.

The ESG Lab developed a methodology to project greenhouse gas (GHG) emissions over time using geographical data from NGFS climate scenarios.

Why?
The approach links these scenarios to a defined perimeter of long-term financial assets, enabling forward-looking carbon footprint analysis. A sectoral study was integrated to capture how different industries contribute to changes in portfolio emissions.
• This required mapping between the NGFS classification and the GICS industry standard to ensure consistency in sector attribution. We combined bottom-up estimation techniques with multiple data sources, including corporate emissions databases, public ETF information, and the PCAF attribution method.
• This framework allows us to allocate projected emissions to each asset with greater accuracy. It also highlights the materiality of certain sectors in driving overall portfolio emissions. By merging spatial, sectoral, and financial data, the methodology offers a robust tool for climate scenario analysis.

The result is a granular view of potential future emissions, supporting informed decision-making on climate strategy and portfolio alignment.

Climate Taxonomy

We are a team of ESG analysts working in tandem with the Data lab comprising a range of different technical backgrounds (corporate and market finance, climate change, social impact assessment, and more) dedicated to accelerating the allocation of financial assets to sustainable solutions. Our team aims at guiding financial decision makers towards low-carbon and positive impact solutions.

We designed a simple, comprehensive Climate Taxonomy to classify economicactivities   that   significantly   contribute   to   climate   change   mitigation   andadaptation, with the aim of guiding and mobilising financial flows towards thecountry’s climate objectives.

Developed through a structured, participatory process with financial institutions,the taxonomy combines economic, social, and environmental criteria to prioritisesectors and activities.

For  mitigation,   a  multi-criteria   analysis  identified   key  sectors   based   on  GDPcontribution, employment, GHG reduction potential, and exposure to transitionrisks, followed by activity-level eligibility and alignment criteria.

For adaptation, another approach distinguishes activities that adapt themselvesto climate risks from those that enhance the resilience of others, supported bynational climate risk mapping.

The taxonomy is rooted in Tunisia’s policy priorities, aligned with its NDC andlow-carbon   strategy,   and   based   on   the   national   activity   classification   forstatistical   compatibility.   It   also   reflects   the   economic   reality   by   includingtransitional activities that can evolve towards sustainability.

case studies

Shallow Geothermal Project Finance

We are a team of ESG analysts working in tandem with the Data lab comprising a range of different technical backgrounds (corporate and market finance, climate change, social impact assessment, and more) dedicated to accelerating the allocation of financial assets to sustainable solutions. Our team aims at guiding financial decision makers towards low-carbon and positive impact solutions.

Developed a financial engineering model to estimate the investment risk return profile of geoenergy (shallow geothermal) projects for heating and cooling buildings.

Why?
To facilitate the financing of shallow geothermal installations: a lowcarbon heating and cooling solution not frequently adopted cause it is CAPEX intensive.
• Studied the different existing possibilities to finance CAPEX intensive long-term low emission energy projects.
• Developed financial engineering model to estimate projects’ risk-return profile: applying project specific thermal engineering criteria (coefficient of performance, estimated energy consumption…) and financial criteria (share of debt and equity, interest rate…) generate expected return and risk metrics under different scenarios.
• Analyzed how environmental gains (emission reduction, through an LCA approach) may benefit financing (regulation compliance and carbon credits).

videos

Watch the showreel

We are a team of ESG analysts working in tandem with the Data lab comprising a range of different technical backgrounds (corporate and market finance, climate change, social impact assessment, and more) dedicated to accelerating the allocation of financial assets to sustainable solutions. Our team aims at guiding financial decision makers towards low-carbon and positive impact solutions.
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