ABOUT / FOUNDER
Isabelle Armanville, Ph.D.
Isabelle Armanville, Ph.D.
Isabelle Armanville, Ph.D.
Quantitative Economics | AI & Investment Strategy
More than two decades of institutional asset management, quantitative research and applied AI. Independent advice grounded in real portfolio-management experience.
20+ YEARS
Institutional asset management
Ph.D.
Quantitative Economics
AI / ML
Investment innovation
CAITL™
AI transformation leadership
Institutions that shaped our perspective
A professional journey shaped by leading institutions across asset management, insurance, energy trading and pension funds — complemented by recommendations from senior industry professionals.
THE PHILOSOPHY
Where quantitative rigour meets independent judgement.
Where quantitative rigour meets independent judgement.
Where quantitative rigour meets independent judgement.
Institutional investment experience, scientific thinking and applied AI — brought together to help organisations make clearer, more informed decisions.
From statistical theory to machine learning models deployed in live investment portfolios.
A selection of methodologies I have worked with—and the real-world decisions they were designed to support. Not a list of employers. A record of quantitative practice, implementation and accountability.
Decision Trees · Feature Engineering · Quantitative Factor Models
Stock picking · European and global equity portfolios · Sector and country allocation
Early adoption of decision-tree techniques in quantitative equity selection and institutional portfolio construction.
Decision Trees · Pattern Recognition · Systematic Signals
Equity long/short and event-driven strategies · Oil and energy trading · Portfolio hedging
Quantitative research connected directly to trading, implementation, risk management and portfolio performance.
Random Forest · Decision Trees · Macro-Financial Scenarios
ML-driven alpha generation · Tactical and medium-term asset allocation · Risk-aware portfolio decisions
Predictive models integrated into institutional investment processes and investment committee decisions.
K-Nearest Neighbours · Super Learner / Stacked Generalisation · Decision Trees · NLP
Tactical asset allocation · Sector-neutral alpha strategies · Recession scenarios · Automated market intelligence
From predictive dashboards and ensemble models to communicating quantitative findings to investment committees and clients.
Bayesian Probit · Hierarchical Momentum
Quantitative investment research · Predictive signals and portfolio decision support
Additional methodologies from my quantitative toolkit. Specific dates and applications are deliberately not assigned without further confirmation.
Model Validation · Applied Machine Learning · Data Analytics · AI Integration
Independent model audit · Investment research · AI transformation
Bringing end-to-end experience—from data and coding to live deployment, performance accountability and executive communication—to independent advisory mandates.
Large Language Models · Prompt Engineering · AI-Assisted Coding · AI Connectors · Workflow Automation · Multimodal Generation
MacroNav: AI-assisted macro research, multilingual podcasts and financial communication · Rapid website development with ChatGPT and connected tools · AI-enabled client workflows
Practical GenAI delivery: building and integrating working solutions, not simply recommending tools. This website was built in two days with ChatGPT and connected development tools—an example of the speed possible when domain expertise directs AI-assisted execution.
“I haven't just built models. I've been accountable for what they deliver.”
Six original recommendations from senior investment professionals. Use the arrows to explore their perspectives.
Delve into direct testimonies from people, companies, and institutions who've been working with us.
Delve into direct testimonies from people, companies, and institutions who've been working with us.
“We were so impressed by Isabelle’s competence, dynamic drive and achieved success, that we first created the European Equities Team and appointed Isabelle as the team leader, directly reporting to me. One year later due to her consistently outstanding performance, Isabelle was promoted to the board of directors.”
Stefan GamperHead of Asset Management, Baloise Insurance“Isabelle’s working style was characterized by the ability to prioritize with care and a strong sense of responsibility. Her extremely quick grasp of new concepts and ideas helped the team to deal with complex and difficult situations.”
Dominique Zen-RuffinenHead of Quant & Trading, Swiss Re AM“I enjoyed working with Isabelle; she brought expert knowledge in applying Machine Learning to investment strategies.”
Koen MaesHead of Private Mandates & Member of the Executive Committee, Candriam“I have greatly benefited from Isabelle’s creative ideas, wide knowledge about the market, risk management, and intellectual curiosity to explore and implement sophisticated algorithms.”
Mahmoud Hamada, Ph.DHead of Quant Research, Essent / RWE Trading“Of particular value to me as a CIO was Isabelle’s team player mind-set, enthusiastic embrace of change, ability to work with minimal supervision, and unwavering commitment to exceeding expectations.”
Frederic Methlow, Ph.D.Chief Investment Officer, Swiss Pension Fund AHV/AV“Thanks to her great knowledge of financial markets, Isabelle brought significant value to macroeconomic research, always ready to provide help and advice.”
Andrea Brasili, Ph.D.Head of European Economic Research, Amundi / PioneerWHY LOS FLAMINGOS
01 / PRACTITIONER
Advice informed by more than 20 years working inside the asset-management industry, not simply observing it from outside.
02 / SCIENTIST
A PhD in quantitative economics and a data-science background brought to model assessment, investment processes and applied AI.
03 / INDEPENDENT
Independent scrutiny of models, assumptions and implementation choices — with no incentive to validate a predetermined answer.
Request a MacroNav demonstration or discuss an independent review of your quantitative investment models and AI systems.
Schedule a conversation ↗
INDEPENDENT EXPERTISE. INSTITUTIONAL STANDARDS.
Speak with Los Flamingos Research & Advisory about quantitative model validation, investment analytics, AI transformation or MacroNav. We bring the perspective of an experienced institutional practitioner — not a generic technology vendor.
20+ years institutional investment experience · Quantitative economics PhD · Applied machine learning
From statistical theory to machine learning models deployed in live investment portfolios.
A selection of methodologies I have worked with—and the real-world decisions they were designed to support. Not a list of employers. A record of quantitative practice, implementation and accountability.
Decision Trees · Feature Engineering · Quantitative Factor Models
Stock picking · European and global equity portfolios · Sector and country allocation
Early adoption of decision-tree techniques in quantitative equity selection and institutional portfolio construction.
Decision Trees · Pattern Recognition · Systematic Signals
Equity long/short and event-driven strategies · Oil and energy trading · Portfolio hedging
Quantitative research connected directly to trading, implementation, risk management and portfolio performance.
Random Forest · Decision Trees · Macro-Financial Scenarios
ML-driven alpha generation · Tactical and medium-term asset allocation · Risk-aware portfolio decisions
Predictive models integrated into institutional investment processes and investment committee decisions.
K-Nearest Neighbours · Super Learner / Stacked Generalisation · Decision Trees · NLP
Tactical asset allocation · Sector-neutral alpha strategies · Recession scenarios · Automated market intelligence
From predictive dashboards and ensemble models to communicating quantitative findings to investment committees and clients.
Bayesian Probit · Hierarchical Momentum
Quantitative investment research · Predictive signals and portfolio decision support
Additional methodologies from my quantitative toolkit. Specific dates and applications are deliberately not assigned without further confirmation.
Model Validation · Applied Machine Learning · Data Analytics · AI Integration
Independent model audit · Investment research · AI transformation
Bringing end-to-end experience—from data and coding to live deployment, performance accountability and executive communication—to independent advisory mandates.
Large Language Models · Prompt Engineering · AI-Assisted Coding · AI Connectors · Workflow Automation · Multimodal Generation
MacroNav: AI-assisted macro research, multilingual podcasts and financial communication · Rapid website development with ChatGPT and connected tools · AI-enabled client workflows
Practical GenAI delivery: building and integrating working solutions, not simply recommending tools. This website was built in two days with ChatGPT and connected development tools—an example of the speed possible when domain expertise directs AI-assisted execution.
“I haven't just built models. I've been accountable for what they deliver.”
From statistical theory to machine learning models deployed in live investment portfolios.
A selection of methodologies I have worked with—and the real-world decisions they were designed to support. Not a list of employers. A record of quantitative practice, implementation and accountability.
Decision Trees · Feature Engineering · Quantitative Factor Models
Stock picking · European and global equity portfolios · Sector and country allocation
Early adoption of decision-tree techniques in quantitative equity selection and institutional portfolio construction.
Decision Trees · Pattern Recognition · Systematic Signals
Equity long/short and event-driven strategies · Oil and energy trading · Portfolio hedging
Quantitative research connected directly to trading, implementation, risk management and portfolio performance.
Random Forest · Decision Trees · Macro-Financial Scenarios
ML-driven alpha generation · Tactical and medium-term asset allocation · Risk-aware portfolio decisions
Predictive models integrated into institutional investment processes and investment committee decisions.
K-Nearest Neighbours · Super Learner / Stacked Generalisation · Decision Trees · NLP
Tactical asset allocation · Sector-neutral alpha strategies · Recession scenarios · Automated market intelligence
From predictive dashboards and ensemble models to communicating quantitative findings to investment committees and clients.
Bayesian Probit · Hierarchical Momentum
Quantitative investment research · Predictive signals and portfolio decision support
Additional methodologies from my quantitative toolkit. Specific dates and applications are deliberately not assigned without further confirmation.
Model Validation · Applied Machine Learning · Data Analytics · AI Integration
Independent model audit · Investment research · AI transformation
Bringing end-to-end experience—from data and coding to live deployment, performance accountability and executive communication—to independent advisory mandates.
Large Language Models · Prompt Engineering · AI-Assisted Coding · AI Connectors · Workflow Automation · Multimodal Generation
MacroNav: AI-assisted macro research, multilingual podcasts and financial communication · Rapid website development with ChatGPT and connected tools · AI-enabled client workflows
Practical GenAI delivery: building and integrating working solutions, not simply recommending tools. This website was built in two days with ChatGPT and connected development tools—an example of the speed possible when domain expertise directs AI-assisted execution.
“I haven't just built models. I've been accountable for what they deliver.”