Mario Trerotola
Versatile AI Researcher and Technology Leader with a proven track record in quantitative finance, blockchain forensics, and machine learning. Solid background in engineering and economics, supported by ongoing Ph.D. research and prior entrepreneurial experience. Skilled in designing and implementing end-to-end solutions that combine cutting-edge AI with scalable software architectures.
Professional Experience
AI Scientist
Leading AI initiatives at Italy's securities market regulator, focusing on fraud detection, market surveillance, and regulatory technology innovation.
Key Achievements
- Conducted a comprehensive analysis of existing oversight processes to design and develop an automated platform for managing consumer reports of suspected financial fraud, streamlining operational workflows.
- Architected and implemented advanced web-scraping modules with anti-bot evasion techniques for real-time verification of issuers' websites, ensuring data integrity and reliability.
- Developed NLP pipelines and AI agents for entity extraction, automated classification of reports, and regulatory report generation, significantly enhancing analytical accuracy and turnaround time.
- Presented the proof of concept to CONSOB leadership and spearheaded development of the MVP within CONSOB's secure infrastructure, in collaboration with the IT and Artificial Intelligence team to ensure compliance with stringent security requirements.
Technologies
Co-Founder & CTO
Co-founded an AI-driven platform for home renovation risk assessment and contractor matching, empowering homeowners and builders with data-driven insights.
Key Achievements
- Managed end-to-end payment workflows and developed a formal escrow deposit mechanism backed by notarial guarantee, ensuring secure custody of project funds.
- Secured a €100,000 investment from Exor Ventures in April 2023.
- Expanded partnerships to 10+ construction companies and delivered over 15 live renovation projects.
- Led the technical team in developing scalable architecture and implementing AI-driven risk assessment algorithms.
Technologies
Entrepreneur in Residence
Selected from a cohort of 40 participants in Exor Ventures' venture building program to ideate and validate new startup concepts.
Key Achievements
- Defined and tested go-to-market strategies, validating business models and key performance indicators to assess traction and growth.
- Crafted investor-ready pitch decks and financial models, contributing to the negotiation of favorable investment terms.
- Collaborated with industry experts and mentors to refine business concepts and product-market fit.
- Applied data-driven methodologies to evaluate market opportunities and competitive landscapes.
Technologies
AI Researcher
Conducted advanced research on algorithmic trading systems for blockchain markets, focusing on machine learning applications for financial signal detection.
Key Achievements
- Designed and implemented a fully automated algorithmic trading system for blockchain markets, leveraging machine learning models to detect arbitrage, momentum and mean-reversion opportunities.
- Engineered end-to-end data pipelines for on-chain data ingestion, feature extraction and real-time signal generation, integrated with backtesting and risk management frameworks.
- Achieved robust risk-adjusted performance in simulations, validating model efficacy and scalability on live market conditions.
- Published research findings in Expert Systems with Applications (Elsevier), contributing to the field of computational finance.
Technologies
Education & Expertise
Education
Ph.D. in Artificial Intelligence
Politecnico di Torino
Conducting doctoral research funded by Google for AI applications in market surveillance, integrating Large Language Models and RPA. Published in Q1 AI journals; recognized for bridging engineering, computer science, and finance.
Focus Area
Anomaly detection, blockchain asset forensics, and financial market oversight
Coursework
Visiting Researcher
HES-SO Valais-Wallis
Conceived and industrialized a multi-agent system leveraging Large Language Models to analyze services offering investment activities, financial and crypto products. Developed a fraud-detection system for flagging suspicious transactions on blockchain networks, specifically tailored to Bitcoin.
Focus Area
Multi-agent systems and blockchain transaction tracing
Coursework
M.Sc. in Data Science and Innovation Management
University of Salerno
Graduated with highest honors. Thesis on using Neural Networks for cryptocurrency trading algorithms (published in Expert Systems with Applications). Built advanced knowledge in ML, data-driven decision-making, and large-scale data management.
Focus Area
Machine learning, data-driven decision-making, and large-scale data management
Coursework
B.Sc. in Economics and Management
LUISS Guido Carli
Focused on quantitative methods and AI applications in financial markets. Thesis on AI-based portfolio management, with over 1,900 repository downloads.
Focus Area
Quantitative methods and AI applications in financial markets
Coursework
Technical Skills
Programming Languages
- Python (expert)
- TypeScript
- JavaScript
- SQL
- R
Data & AI Frameworks
- PyTorch
- TensorFlow
- scikit-learn
- FastAPI
- LangChain
- Docker
- Kubernetes
Cloud & DevOps
- Azure
- GCP
- GitHub Actions
- CI/CD
Front-End
- React
- Next.js
- Tailwind CSS
- Node.js
- Flutter
Databases & Storage
- PostgreSQL
- MongoDB
- Redis
- Prisma
- Pinecone
Quant & Analytics
- Time-series modelling
- Anomaly detection
- Blockchain forensics
Professional Competencies
Leadership & People Development
Built and coached cross-functional teams of engineers, data scientists and product managers, fostering a culture of ownership and high performance.
Strategic Thinking
Translated ambiguous business objectives into data-driven roadmaps, balancing risk, return and regulatory constraints in fast-moving environments.
Influential Communication
Conveyed complex quantitative insights to senior stakeholders and non-technical audiences, enabling informed decision-making.
Analytical Problem-Solving
Deconstructed ill-structured problems, designed robust algorithms and delivered scalable solutions under tight deadlines.
Stakeholder Management
Acted as trusted partner to executives, investors and regulators, aligning interests and driving consensus across diverse groups.
Languages
Italian
Native
English
Full Professional Proficiency (C2)