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Naoufal Elyoussfi

Senior Associate @ PwC
Brussels, Belgium

Multilingual data scientist and econometrics specialist with a Cum Laude degree in Applied Physics and a Master's in Quantitative Finance. Skilled in machine learning, financial modeling, and Azure cloud solutions. Passionate about languages (fluent in 7+) and global cultures, with a strong ability to leverage pattern recognition for innovative problem-solving. After taking a year off to travel the world and broaden my perspective, I am now highly motivated to bring fresh energy and insight back into the professional sphere.

Top roles

Data Analyst2 - 5 years
Project / Program Manager2 - 5 years

Back-end

SQL
Java
Python

Cloud

Azure

IDE

Eclipse

Miscellaneous

Machine Learning
Language
Native Dutch
Dutch
Native
Arabic
Native
English
Fluent
French
Fluent
Spanish
Fluent
German
Average
Portuguese
Average
Work experience
Since 2020
Senior Associate @ PwC
01 September 2022 - 31 December 2024

Led data-driven financial risk assessments using Bayesian methods.

Associate @ PwC
01 January 2020 - 31 August 2022

Developed predictive models for credit risk analytics.

manager @ Vastgoedpromotie
01 January 2016 - 31 December 2021

Oversaw real estate investment strategies.

Researcher @ ZANDERS
01 January 2020 - 31 December 2020

Built ML models for corporate default probability.

Education experience
Since 2017
Econometrics (Quantitative Finance) @ Erasmus University Rotterdam
01 September 2019 - 01 July 2020

MSc in Econometrics (Quantitative Finance) with a strong academic record.

Econometrics (Quantitative Finance) @ Erasmus University Rotterdam
01 September 2018 - 01 July 2019

Pre-Master's in Econometrics with a focus on quantitative finance.

Applied Physics @ Delft University of Technology
01 September 2015 - 01 July 2018

BSc in Applied Physics (Cum Laude) with a strong academic performance.

Applied Sciences @ University of British Columbia
01 September 2017 - 01 June 2018

Minor in Applied Sciences with a focus on quantitative analysis.

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