Jonathan Phan

Quantitative Developer

Salaire / Taux journalier

New York, État de New York, États-Unis

Freelance, ouvert au CDI

Expertises

PythonMachine LearningData AnalysispandasGitRESTful APIsJiraNumPyscikit-learnC++Gestion des risquesETL

À propos

Introduction

Experienced Quantitative Developer and Data Analyst with a strong background in financial engineering, machine learning, and data processing. Proficient in Python for automating risk monitoring, building data pipelines, and developing analytical tools in financial services.

Liens

Expérience de travail

Quantitative Developer

Société Générale

mars 2025 - mars 2026

1 an 1 mois

New York, État de New York, États-Unis

– Monitor the Bank risk exposure using Python by automating the computation of risk metrics on Fixed Income and Equity derivatives e.g Stress Tests, VaR, SVaR – Built trading volume monitoring system for corporate bonds to evaluate liquidity risk and support mark-to-market position decisions – Built monitoring tool via Bloomberg API, flagging intraday moves above 10% and cross-referencing desk positions for risk reporting to upper management – Contributed to the development of a crypto risk management tool automating stress tests, limit monitoring and risk sensitivity calculation to support trading and risk control operations

Data Analyst

Société Générale

sept. 2023 - sept. 2024

1 an 1 mois

Paris, France

– Developed data processing pipelines handling large-scale datasets with Python, implementing efficient ETL workflows for market activities monitoring – Built automated REST API integrations for XML/JSON data extraction and processing, reducing manual data collection efforts – Created automated dashboards and reporting tools using Python for Initial Margin calculation and monitoring


Formation

University of Paris 10

Master's Degree, Finance

2023 - 2024

1 an 1 mois

– Focus: Financial Engineering, Statistics, Econometrics, Machine Learning, Programming ( Python )

University of Paris 10

Bachelor's Degree, Applied Mathematics

2019 - 2022

3 ans 1 mois

– Focus: Advanced Probability, Applied Statistics, Programming( Python, C++ )


Licences et certifications

Machine Learning Specialization

Délivré le : janv. 2024

Certifié par Coursera – DeepLearning.AI / Stanford University

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