Description

Applied mathematician with advanced training in mathematical modelling,

statistics, and computational methods. Experience developing analytical

pipelines and automation systems in production environments.

My work combines numerical problem-solving, Python-based system

development, and process automation to build reliable and reproducible

technical solutions. I am particularly interested in trading technology, real-

time systems, and the intersection of quantitative research and production

infrastructure.

Comfortable working in fast-paced technical environments, supporting live

systems, diagnosing issues, and improving robustness through structured

problem-solving.

Industry field of expertise

Languages

Spanish
Native or bilingual
Basque
Native or bilingual
English
Fluent

Workplace preferences

Can work on-site

San Sebastián (up to 50km)

360 Fund Insight
Software Engineer
BANKING AND INSURANCE
September 2025 - Today (10 months)
- Designed and maintained Python-based data pipelines for structured
financial data processing.
- Built modular and reproducible systems for validation,
transformation, and batch analysis.
- Automated recurring operational workflows to improve reliability and
reduce manual intervention.
- Implemented the Black-Litterman asset allocation model, combining
market equilibrium priors with subjective views through Bayesian
updating.
Python Financial Modelling SQL ETL (Extract, Transform, Load) Processes API
Eroski S. Coop
Data Scientist
December 2023 - September 2025 (1 year and 9 months)
Developed and deployed analytical models and ETL pipelines in
• • production environments. Worked on commercial optimisation projects focused on pricing, cost efficiency, and promotional strategy to support annual performance targets. Applied statistical modelling and data-driven optimisation techniques to evaluate trade-offs between margin, volume, and revenue objectives. Performed validation, monitoring, and version control of analytical systems. Collaborated with business and technical teams to integrate quantitative insights into operational decision-making.
Vicomtech
Research Intern
February 2023 - September 2023 (7 months)
Developed mathematical models and numerical simulations in Python
• • and Matlab. Designed and implemented dynamic models related to electric vehicle systems, including performance and energy efficiency analysis. Applied numerical methods for simulation and validation of system behaviour under different scenarios. Worked extensively in Linux environments for simulation, testing, and computational workflows.