Jialin Du

Financial data professional with an MSc in Data Science & Business Analytics and a BBA in Applied Economics. Hands-on experience in crypto risk analytics, financial data analysis, machine learning, anomaly detection, and quantitative strategy research. Strong in Python and SQL, with practical experience translating market and user-level data into risk signals, predictive models, monitoring systems, and backtested investment strategies.

Risk Data Analyst at Global Commerce Technologies PTE LTD (Coins.ph) (2024-06 – 2025-05)

• Designed user-profit calculation methodology using SQL and Python to identify abnormal profit growth and potential hacking activity; collaborated with engineering to deploy risk-control rules.
• Analyzed Account Takeover incidents with decision-tree modeling and engineered 10+ risk features; achieved 99%+ detection accuracy across tens of thousands of events.
• Led leveraged-trading risk monitoring across position concentration, leverage distribution, margin levels, forced-liquidation volume, and long/short trading volume, providing early warnings for emerging market/user risk.
• Built automated validation workflows with n8n and LLM-assisted daily risk analytics, improving the efficiency of risk-rule validation and anomaly investigation.
• Supported financial risk strategy and ad hoc analysis using trading and user-level data.

Wealth Manager at China Everbright Securities (2025-12 – 2026-03)

• Acquired approximately RMB 1.5M in new client assets within two months through outbound calls, client visits, and referrals; developed practical exposure to securities products and client investment needs.

Data Scientist Intern at Golden Gate Ventures (2023-09 – 2024-01)

• Built a startup-success prediction model using company descriptions, founder backgrounds, investors, and funding raised; applied Word2Vec, one-hot encoding, and standardization.
• Compared and tuned Random Forest, XGBoost, CatBoost, and ANN models; screened 30 high-potential startups from 1,633 Southeast Asian companies, with 17 subsequently developing successfully and hit rate improving from 0.20 to >0.50.

Sales Data Support Intern at Airwallex (2021-06 – 2021-08)

• Built Python/Excel VBA reporting automation that reduced processing time by ~80%; used Tableau for data preparation, visualization, and decision support.

MSc in Data Science & Business Analytics – ESSEC Business School & CentraleSupélec (2022-08 – 2024-01)

BBA in Applied Economics – The Chinese University of Hong Kong, Shenzhen (2018-09 – 2022-05)