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Hamid B.HB

Hamid B.

Data Analytics | Quant Finance | Power BI | SQL

€500/day
Paris, FR
3-7 years
Statistics
Data Analysis
Power BI
SQL
quantitative analysis

Average response time: 1 hour

Freelancer profile translated to English.
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About Hamid

Data Analytics Consultant specializing in Finance & Risk, with 4 years of experience, I support business teams in the design and implementation of Data Analytics solutions, automation of processes and reporting to improve steering and decision-making with Power BI, SQL, BigQuery, Python and Excel.
Banking and Financial Services
Insurance
Consulting and Audits
Digital and IT Services

  • French

    Native or bilingual

  • English

    Fluent

  • Arabic

    Native or bilingual

  • Standard Moroccan Tamazight

    Native or bilingual

Can work on-site
Paris (up to 50km), Lille (up to 50km), Lyon (up to 50km), Marseille (up to 10km), Toulouse (up to 10km)

Experience

  • Bpifrance
    Data Analytics Consultant Finance
    BANKING AND INSURANCE
    November 2025 - Today (9 months)
    Paris, France
    Bpifrance is evolving its Finance Data tools to improve its financial risk analysis processes.
    Within the Finance & Risk teams, I am acting as a Data Analytics Consultant Finance, responsible for the migration of an analytical solution dedicated to financial risk management.

    Collaboration with:
    The finance and risk team, the technical team, and the designer.

    Key Contributions:
    Understanding business needs and familiarization with the existing system.
    Analysis of data sources, financial processes (KPIs, calculation methods), and existing reports.
    Migration from R to Python:
    • Definition of the analytical pipeline architecture.
    • Development of Python processes to automate financial calculations.
    • Improvement of the reliability and performance of the processes.
    • Implementation of quality controls and validation rules.
    • Automation of data flows (collection, transformation, control).
    • Development of visualizations and monitoring indicators (Interface).
    • Testing, acceptance, and deployment of the solution.
    Documentation of the solution and user training.

    Results:

    Reliability of financial analyses thanks to automated controls.
    Reduction of processing time through pipeline optimization.
    Time savings for business users through automation and simplified visualizations.

    Tech Stack:
    Python (Pandas, NumPy, SciPy, Seaborn, Matplotlib), BigQuery, R, Git, Advanced Excel, VBA
    Python RStudio Power BI BigQuery Git
  • Crédit Agricole CIB
    Data & Model Risk Analyst Finance
    BANKING AND INSURANCE
    September 2023 - October 2025 (2 years and 1 month)
    Paris, France
    Context:
    Crédit Agricole, a European leader in banking and financial services, has undertaken a process of simplification and
    validation of its risk model processes.
    Within the Risk Department, I implemented an analytical solution to automate the validation
    of market abuse detection models.

    Collaboration with:
    The Model Risk Management team, the technical team (Data Eng, Designer).

    Key Contributions:
    Implementation of an analytical solution dedicated to the validation and monitoring of financial risk models.
    Understanding business needs and familiarization with the existing system: analysis of validation processes, data
    sources, and existing reports.
    Analysis and evaluation of risk models:
    • Methodological analysis of models and assumptions used.
    • Performance of backtesting and model robustness tests.
    • Automation of stress tests and sensitivity calculations.
    • Review and quality control of input data.
    Definition and monitoring of performance indicators (Generated Alerts, False Positive Rate, Performance Scores, etc.).
    Collection, preparation, transformation, and modeling of financial data.
    Development of Power BI dashboards for monitoring indicators and supporting business decisions.
    Execution of acceptance, validation, and deployment phases of the solution.
    Documentation of the solution and user training.

    Results:

    Simplified and reliable validation process.
    50% reduction in validation time through automation.
    Tech stack:

    Power BI, BigQuery, SQL, DAX, Python, Advanced Excel.
    Python SQL Power BI Big Query DAX
  • AttijariWafa Bank CIB
    Data Analyst Finance | Management Control
    BANKING AND INSURANCE
    February 2022 - June 2023 (1 year and 4 months)
    Casablanca, Morocco
    Management Control & Performance Steering

    • Collection, validation, and structuring of expense data (logistics, payroll, depreciation)
    • Cost modeling using the ABC method and automation of the model in Valoptia.ABC
    • Definition and monitoring of KPIs (cost/m², cost/employee, expense allocation)
    • Development of interactive dashboards in Power BI for cost monitoring and decision support.
    **Tech stack**: Power BI, Excel, Valoptia.ABC, Python.
    Python Power BI Valoptia ABC Method excel

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Education

  • Master Data Analytics & Financial Engineering
    Paris 1 Panthéon Sorbonne University
  • Engineer in Modeling and Scientific Computing
    Mohammadia School of Engineers
    Ingénieur en Modélisation et Informatique Scientifique

Certifications

  • Power BI
    Coursera
    2020
  • Machine Learning Foundations: A Case Study Approach
    University of Washington
    2020

Skill set

Risk Management
Data Visualization
Credit Risk
Counterparty Risk
model validation
stress test
Basel III
Pricing
Stochastic Calculus
quantitative analysis
FRTB
Monitoring and analysis of market risks
CCR Risk Modeling :(PD, LGD, EAD), CVA(PFE, EEPE)
Python
C++
PowerBI
Stochastic diffusion models
Dataiku

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