Théo Le Guenedal · Paris, France & Frankfurt, Germany

Research.
Intelligence.
Impact.

At the intersection of artificial intelligence, quantitative finance and climate, I turn research into tools that inform investment decisions.

Connecting disciplines. Putting complexity to work.
Head of A.I. for Investment · Amundi TechnologyPh.D. in Applied Mathematics · Institut Polytechnique de Paris
01 / Approach

Three disciplines.
One shared standard.

My work combines scientific depth, product design and hands-on development. From modelling to integration within investment teams, I build solutions that connect data, research and decision-making.

01

Artificial intelligence
for investment

AI-augmented financial analysis, natural language processing, alternative data and news analytics to support research and decision-making.

Applied AIText miningAlternative data
02

Quantitative
research

Portfolio construction, factor research, optimisation and backtesting of signals and systematic strategies.

PortfoliosModellingAlpha signals
03

Climate finance
& risk

Integrating physical and transition risks into financial models, scenarios and allocation tools.

Climate VaRStress testsESG
02 / From research to product

From ideas to tools.

AI & investment analytics · Amundi Technology

ALTO Insight

Designed and led the development of an AI-augmented platform for investment research and portfolio decision-making, with a team of 8 developers, 2 Quant/ML Ops engineers, a Product Owner and 2 IT managers.

Climate & portfolio construction · Amundi Technology

ALTO Climate

Designed and managed a module integrating climate-risk analytics into investment workflows: scenarios, stress tests, portfolio alignment and monitoring.

03 / Experience

A journey connecting
science and investment.

Head of A.I. for Investment

Amundi Technology · AI and Digital Office

Leads AI strategy and digital transformation for the Investment Business Line. Designed and leads ALTO Insight, an AI-augmented platform for investment research and portfolio decisions, with a team of 8 developers, 2 Quant/ML Ops engineers, a Product Owner and 2 IT managers.

Lead of Climate and Prospective Research

Amundi Technology · Innovation Lab

Developed ALTO Climate, climate-risk methodologies and allocation tools. Coordinated the partnership with MIT’s Center for Sustainability Science and Strategy.

Climate and Physical Risk Modeler

Institut Louis Bachelier

Contributed to CATHERINA 1.2, an open-source module for cyclone-track generation and national damage assessment.

Quantitative Researcher

Amundi Asset Management

Researched the integration of ESG and climate criteria into allocation, alternative signals, and financial modelling of transition and physical risks.

Ph.D. in Applied Mathematics

Institut Polytechnique de Paris · CREST / ENSAE / École Polytechnique

Thesis: “Financial Modeling of Climate-related Risks”, defended in December 2022. Engineering degree from Centrale Marseille and a master’s degree in mathematics from Aix-Marseille University.

04 / Research

Understand.
Model. Share.

Selected publications on climate finance, natural risks and the use of AI in financial narrative analysis.

GRASFI · 2020

Best Paper Prize

Credit Risk Sensitivity to Carbon Price

CEFGroup · 2023

Best Paper Prize

Research on climate-related stress testing.

05 / Contact

Good ideas start with a conversation.

Artificial intelligence, research, quantitative finance or climate risks: let’s explore these topics together.