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Yacine KadhimYK

Yacine Kadhim

Credit Risk Quantitative Analyst/Statistician

€850/day
Paris, FR
8-15 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Yacine

Quantitative Analyst, Data Scientist, Statistician
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Holding a Master's degree in Statistical and Financial Engineering from Paris II Panthéon-Assas University, I have over 7 years of experience as a quantitative analyst and data scientist in finance, with expertise in credit risk management.

My skills cover the following areas:

✔️ Production and backtesting of IFRS9 parameters (PD, LGD) for the calculation of expected losses (ECL), including within the framework of internal and regulatory stress tests (EBA).
✔️ Development of default probability projection algorithms, integrating econometric relationships between default rates and macroeconomic variables.
✔️ Redesign and improvement of credit risk models to meet regulatory requirements (EBA, NDoD) and operational needs.
✔️ Programming in SAS, R, SQL, and Python

Do not hesitate to contact me to discuss your needs and see how I can contribute to their success.
  • French

    Native or bilingual

  • English

    Fluent

Can work on-site
Paris (up to 50km)

Experience

  • Groupe Crédit Agricole SA
    Credit Risk Quantitative Analyst
    October 2025 - March 2026 (5 months)
    Paris, France
    Mission to contribute to the scoping phase of Crédit Agricole's compliance with the EBA's new ESG guidelines, through an in-depth gap analysis between the Group's existing practices and the new regulatory requirements, particularly regarding risk frameworks and prudential transition plans.

    ✔️ Conducted a gap analysis between Crédit Agricole Group's existing practices and the EBA's ESG guidelines, covering all new requirements (ESG indicators, risk scopes, governance, ICAAP/ILAP).

    ✔️ Assessed the quality of the Group's ESG materiality analysis to evaluate the compliance of the methodological framework and current practices.

    ✔️ In-depth analysis of risk measurement, monitoring, and reporting frameworks to identify structural gaps and operational adjustment needs.

    ✔️ Prepared and presented reporting materials for central management to share analysis findings and facilitate the validation of orientations.

    ✔️ Developed an action plan to structure the Group's compliance trajectory, including prioritizing workstreams and proposing appropriate steering governance.
  • Confédération National du Crédit Mutuel - Direction des Risques
    Credit Risk Quantitative Analyst
    February 2025 - September 2025 (7 months)
    Paris, France
    The objective of the mission is to support the Crédit Mutuel IFRS9 team in the redesign of the IFRS9 PD model for the HDP (High Default Portfolio) scope. This redesign follows the findings made by the Statutory Auditors (CAC) during their audit.

    ✔️ Collected macroeconomic data and default rates by rating algorithm, necessary for modeling.

    ✔️ Studied the stationarity of all time series: graphical analyses and statistical tests.

    ✔️ Developed an automated tool for exhaustive model searching via linear regression on the HDP scope (Individuals, Professionals, Corporates).

    ✔️ Projected candidate models over 3 years using macroeconomic scenarios from Crédit Mutuel's economic research department.

    ✔️ Discussed projected macroeconomic scenario hypotheses with economists.

    ✔️ Performed backward rolling regressions to analyze the stability of the selected models.

    ✔️ Measured the impacts on ECL (provisions) and presented the results to management and committees.

    ✔️ Wrote the final documentation.
  • Groupe BPCE
    Credit Risk Quantitative Analyst
    BANKING AND INSURANCE
    December 2019 - December 2024 (5 years)
    Paris, France
    ✔️ Responsible for the quarterly production of IFRS9 parameters (Forward Looking PD, Forward Looking LGD, and IFRS9 Scenario Weighting). The objective is to manage all work related to the modeling and use of quantitative IFRS9 parameters to ensure the smooth running of ECL calculations.

    ✔️ Responsible for the production of risk parameters during the Internal Stress Test (STI), EBA (STEBA), and Climate (STCLI) exercises. Wrote the explanatory note for the ECB to report on the applied methodology and results.

    ✔️ Developed a projection algorithm for default probabilities using linear regression to identify econometric relationships between BPCE Group Retail and Non-Retail default rates (DR) and usual macroeconomic variables (GDP, CHMG, IPL, etc.).

    ✔️ Redesigned the IFRS9 Probability of Default (PD) projection methodology for the BPCE Group's Retail scope to take into account the new definition of default (NDoD), validation reserves, ECB recommendations, and proposals for evolution from business experts.

    ✔️ Redesigned the significant credit risk deterioration models (Stage 1/Stage 2; "S1/S2") following a "Deep-Dive: Cost of Risk" ECB mission.
    Built the Physical-Real Estate Risk model "Floods/Clay Soil" to measure economic capital (extreme losses) related to flood risk in France.

    ✔️ Backtested BPCE Group's IFRS9 models and backtested LGD, Outstanding/CHR Score models for Crédit Foncier de France, a subsidiary of BPCE Group.
    IFRS9 Data Analysis Credit Risk SAS R

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Education

  • Master ISF - Statistical and Financial Engineering
    Paris II Panthéon-Assas University
    2019
    Master ISF - Ingénierie Statistique et Financière
  • Bachelor's Degree in Economics and Management, Economic Analysis track
    Paris II Panthéon-Assas University
    2017
    Licence 3 Économie et Gestion, parcours Analyse Économique

Skill set

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