MS, Quantitative Finance
Washington University in St. Louis
GPA 4.0. Teaching Assistant for Investment Theory and Methods in Fintech.
About · Fig. 02
Lorenzo Pulcini
I work at the intersection of financial theory and software engineering. I am completing an MS in Quantitative Finance at Washington University in St. Louis; before that I was a Senior Software Engineer at Accenture, building high-frequency transaction infrastructure for a major financial institution.
Seeking Fall 2026 internships
Section 01
Education
Current
BSc, Economics
Bocconi University
Thesis: Impact of US and EU Sanctions on the Russian Economy.
Section 02
Experience
Fixed Maturities Securities Engineer Intern
RGA
Teaching Assistant
Washington University in St. Louis
- Teaching Assistant for Investment Theory and Methods in Fintech.
Data Analyst — Campus Operations
Washington University in St. Louis
- Develop reproducible Python/SQL ETL pipelines to clean and transform complex utilization datasets.
- Quantify space usage patterns to inform resource allocation and strategic planning.
Senior Software Engineer
Accenture
- Architected systems processing more than one million daily transactions for a major financial institution.
- Led the migration of a core transaction proxy from Java to Go, improving throughput by 10%.
- Engineered a RAG system for natural-language queries on internal documentation.
- Designed Kafka monitoring pipelines handling 500K+ daily messages.
Co-Founder & CTO
Raccoon Fantasy
- Designed a dynamic in-game market economy with liquidity monitoring and pricing algorithms.
- Built scalable multiplayer infrastructure supporting 150+ concurrent players.
Co-Founder & COO
Similar
- Built a personalized recommendation engine and its complete ML pipeline.
- Placed third in a startup incubator competition and attracted initial investor funding.
Section 03
Ventures & applied work
Raccoon Fantasy
Co-Founder & CTO
Blockchain-based multiplayer game with a dynamic market economy and pricing algorithms.
Similar
Co-Founder & COO
Film and TV recommendation system trained on user viewing history.
IBM Watson Insurance AI
Developer
Image-recognition application for insurance damage assessment.
Section 04