Yves Z., Credit Risk Quantitative Analyst

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Description

Hello,

Credit risk quantitative analyst, I handle various tools to:

- Data collection such as SAS with sas7bdat, Excel for XLSX and CSV files, and APIs

- Automation of certain calculations using VBA in Excel or SQL procedures, data step etc. in SAS and Python

- Presentations using PowerPoint

- Drafting regulatory documents using Microsoft Word, Notebook, Markdown

- Implementation of data dictionary tools in code form for automatic generation using extensions in Visual Studio Code

- Development of machine learning and scoring models related to credit risk

- Monitoring KPIs using Google Analytics or Power BI

Industry field of expertise

Languages

French
Native or bilingual
English
Native or bilingual

Workplace preferences

Remote only

Primarily works remotely

Natixis
Credit Risk Quantitative Analyst
BANKING AND INSURANCE
June 2023 - Today (3 years and 2 months)
Paris, France
Business data collection project for modelers with:
- Drafting of requirements
- Analysis of extractions
- Implementation of data flows
- Design of shared dictionaries

Project for responding to ECB Findings:
- Definition of action plans
- Discussions with business units to identify leads for each action
- Monitoring and organizing meetings

Participation in an ECB mission:
- Presentation of data architecture
- Implementation of a dataset repository
Data Analysis Microsoft Powerpoint SAS Microsoft Excel BCBS 239
Hanalytics
Fullstack Developer
SOCIAL NETWORKS
January 2021 - December 2021 (1 year)
Paris, France
Development of the website chart-studio.com to present different program snippets and associated documentation.
Implementation of multi-language support on the website to switch between English and French using react-intl.
Integration of payments using Stripe for subscriptions.
Implementation of dark mode to facilitate reading for users who prefer this mode (using CSS and JavaScript).
Management of users and their spaces using Firebase Auth.
Creation of a Node.js API and installation on AWS (Lambda) to create, delete, and update documents saved in Google Cloud.
React.js AWS Lambda AWS EC2 GraphQL Node.js

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Master's in Econometrics
University of Lille 1
2014
Mathématique et statistique appliqués à la finance et Développement d'application Sas, web