Ignacio Expósito
Model Risk Data Scientist
Madrid, Community of Madrid, Spain
Summary
👤
Senior🎓
Top SchoolIgnacio Expósito is a Model Risk Data Scientist based in Madrid with nine years of experience bridging academic AI research and regulated finance. He evaluates and validates a wide range of models—ML, autoregressive, statistical and stochastic—across fraud detection, compliance, macro forecasting and capital frameworks while ensuring alignment with EU AI Act, GDPR, ICAAP and IFRS9. Previously an AI researcher at Universidad de Granada, he published work in reinforcement learning, planning and graph neural networks, won first place in the ICAPS IPC 2020 Partial Order track, and led an industry project delivering a driver-assistance pipeline from ETL to deployed GUI. At Santander he also prototypes alternative modelling approaches, automates validation workflows, and is building a custom, low-resource AI-powered IDE with GenAI agents for document authoring. He combines rigorous, audit-focused model governance with hands-on engineering and a curiosity for reinforcement learning, computer vision and robotics.
9 years of coding experience
4 years of employment as a software developer
Master’s degree, Data Science, Master’s degree, Data Science at Universidad de Granada
English, Spanish, Japanese, French
Github Skills (16)
open-source10
pddl9
javascript9
planning8
python7
temporal7
partial7
mathematics6
data-structures6
c-programming6
java6
cpp5
functional-programming4
algorithms4
jekyll3
Programming languages (5)
Github contributions (5)
UGR-IntelligentSystemsGroup/HPDL-Planner
Apr 2022 - Jan 2023
SIADEX - An HTN planner with temporal, partial order planning
Contributions:11 commits, 2 PRs, 7 pushes in 9 months
partialpartial-ordertemporalpddlhtn
UGR-IntelligentSystemsGroup/Driver-Assistance-System
Sep 2021 - Mar 2022
Contributions:218 commits, 2 pushes in 5 months
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