ÁLVARO SÁNCHEZ
ABOUT ME
Hi there! I’m Álvaro. I’m a jaded aerospace engineer now working as a quantitative researcher at an investment bank.
I’m interested in understanding complex financial systems and decision-making under uncertainty, using mathematical modeling, computer/data science and artificial intelligence.
I enjoy building, learning new things and continuously refining how I think and solve problems.
EXPLORE
ARTICLES, ESSAYS & BOOK SUMMARIES
RESEARCH PUBLICATIONS
PERSONAL PROJECTS
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Articles & Essays
Personal reflections on diverse topics such as health, happiness, mental models, focus, discipline, productivity…
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Scientific Research
My published journal papers, conference publications, thesis, research fields…
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Book Summaries
Personal summary reviews of my favorite books.
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Knowledge Maps
Personal collection of Mind Maps summarizing broad technical fields in a top-down, visual way.
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Personal Projects
My portfolio of personal projects, built-in tools & practical applications.
MY PROJECTS
From theoretical research to practical applications —turning complex logic into functional tools.
Math, Physics & Engineering
Computer Science
Machine Learning & AI
Quantitative Finance
AI PROJECTS COMPLETED
QUANT FINANCE PROJECTS
LINES CODED
HOURS COMPLETED
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Optimization of Lunar Trajectories & Rendezvous Strategies in Moon's Vinicity
Research project in collaboration with the German Aerospace Center (DLR) & ISAE-SUPAERO University to find optimal trajectories between the Moon and NRH Orbits.
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Data Structures & Algorithms – Github Repository Project
Structured collection of the ~100 most relevant Data Structures & Algorithms (DSA) coding problems and their solutions, including explanations of all DSA concepts.
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Pairs'24 Olympics iOS App
Developed a Swift-based iOS app replicating the Paris 2024 Olympics official app, designed for legacy unsupported iPhone devices.
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QRDE-SAT - Quant Research & Development Environment for Systematic Asset Trading
Personal Python library for quantitative research, development, backtesting and deployment of Financial Trading Strategies.
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PyFinPO - Python Financial Portfolio Optimization Library
Developed PyFinPO, a personal library aiming to provide a structured, direct and extensible infrastructure to perform Financial Portfolio Optimization in Python.
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Financial Market-Regime Identification via Gaussian Mixture & Gradient Boosting ML
Published a two-phase framework integrating unsupervised and supervised machine learning techniques to detect and predict latent regimes in financial markets.
EXPERIENCE
Academic Path
PhD Candidate
Financial Machine Learning
MSc, Space Systems
ISAE-Supaero, Toulouse
MSc, Aerospace Engineering
University of León
BSc, Aerospace Engineering
University of León / UWGB
CFA Level I
Passed — Investment Analysis
Professional Tenure
Quant Researcher
Goldman Sachs
Quant Researcher/Dev
Morgan Stanley
Satellite GNC/AOCS Engineer
Thales Alenia Space
Astrodynamics Researcher
German Aerospace Center (DLR)
AI Researcher
Startup Drotium
Math, Physics & Engineering
Probability & Statistics
Computer Science
Data Engineering & Science
AI & Machine Learning
Quantitative Finance
SKILLS
A versatile toolkit developed through academic research and professional experience to solve complex challenges
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I'm always open to discussing quantitative research opportunities, collaborative projects, or interesting technical problems. Feel free to reach out using the form below.
Álvaro Sánchez
Quantitative Researcher
Email:
alvarosf07@gmail.com