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Arturo Turmo Perez

@arturoturmoperez

Quantitative Analyst at KPMG developing credit risk models and analyzing capital impacts with SQL and PySpark.

Spain
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What I'm looking for

I’m seeking new opportunities to apply my knowledge in mathematics and statistics and continue growing professionally.

At KPMG, I work as a Quantitative Analyst in Financial Risk Management, supporting strategic data infrastructure projects in the banking sector.

I analyze capital impacts using relational databases and datalake environments, including SQL and PySpark. I also develop mathematical and statistical models for credit risk.

I define, develop, and validate Data Quality processes for large information flows. I hold a double degree in Computing Engineering and Mathematics from Universidad Autónoma de Madrid and a Master’s degree in Quantitative Finance from Universidad Nacional de Educación a Distancia.

Experience

Work history, roles, and key accomplishments

KPMG logoKP
Current

Senior Quantitative Analyst

Oct 2020 - Present (6 years)

Quantitative analyst for Financial Risk Management (FRM) at KPMG. Managed and supported teams in strategic data infrastructure projects in the banking sector, exploited information and analyzed capital impacts in relational databases and datalake environments, developed mathematical and statistical models in credit risk, and defined, developed, and validated Data Quality processes for large inform

Education

Degrees, certifications, and relevant coursework

Universidad Nacional de Educación a Distancia logoUD

Universidad Nacional de Educación a Distancia

Master's degree, Quantitative Finance

2021 - 2021

Master's degree on Quantitative Finance from Universidad Nacional de Educación a Distancia in 2021.

Universidad Autónoma de Madrid logoUM

Universidad Autónoma de Madrid

Double Degree, Computing Engineering and Mathematics

2015 - 2020

Double Degree on Computing Engineering and Mathematics from Universidad Autónoma de Madrid from 2015 to 2020.

Tech stack

Software and tools used professionally

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