Open to opportunities

Yunjing Jiang

@yunjingjiang

Message

Data scientist skilled in ML, NLP, and scalable data pipelines for trading and risk.

France

Message

What I'm looking for

I seek roles where I can apply ML and NLP to financial or trading problems, work cross-functionally, build scalable data pipelines, and deliver insights to senior stakeholders while growing technically.

I am a data scientist with hands-on experience building machine learning models, NLP solutions, and performant ETL pipelines across finance and consulting. I have reduced ETL execution time by 83%, developed credit risk scoring models that improved accuracy by 20%, and delivered dashboards and analyses used by senior management.

My background combines a Master in Data Sciences & Business Analytics with practical internships and projects using Python, PyTorch, SQL, Azure and Databricks. I prioritize data quality, cross-functional collaboration, and clear communication to turn data into actionable business impact.

Experience

Work history, roles, and key accomplishments

Data Scientist Intern

AXA Investment Managers

Aug 2024 - Feb 2025 (6 months)

Enhanced ETL data structures and optimized queries to reduce execution time by 83%, researched NLP methods for an internal summarization tool, and designed dashboards used by top management to improve counterparty data quality and trading KPIs.

Python SQL ETL NLP Dashboarding Data Engineering KPI Analysis Tableau Pandas

Research Scientist

Cofidis Group

Jan 2023 - Jun 2023 (5 months)

Developed credit risk scoring models with feature engineering and model evaluation, improving accuracy by 20% and integrating 20 open data sources through a data pipeline to better identify high-risk loan applicants.

Credit Scoring Random Forest AUC Evaluation Data Pipelines Python SQL data preprocessing

Data Analyst

Towers

Jul 2021 - Aug 2021 (1 month)

Performed time series analysis for a global logistics client to uncover seasonality and improve budget forecasts, and built consumer behavior models for a food delivery company to identify drivers of ratings and retention.

Time Series Analysis Python Machine Learning Feature Importance Data Exploration Forecasting Pandas

Research Analyst

Dahua Management Partnership

Apr 2019 - Dec 2019 (8 months)

Analyzed financial KPIs such as inventory turnover across firms to inform investment assessments and built dashboards for in-depth financial reporting and portfolio management.

Financial Analysis KPIs Dashboarding SQL Excel Data Visualization Portfolio Management Python

Education

Degrees, certifications, and relevant coursework

ESSEC & CentraleSupélec

Master in Data Sciences & Business Analytics, Data Sciences & Business Analytics

2021 -

Master in Data Sciences & Business Analytics with coursework in machine learning, SQL, business intelligence, big data algorithms, forecasting, optimization, statistics, deep learning, and NLP.