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Jie YU

@jieyu

I’m a data-driven financial technology graduate building market and quantitative models to improve risk-adjusted decisions.

China
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What I'm looking for

I’m looking for a finance role where I can combine quantitative modeling and market research with strong risk controls, improve client outcomes using data, and grow through hands-on ownership of strategy and analysis.

I’m a Financial Technology master’s graduate from The Hong Kong University of Science and Technology, and I’m currently a Graduate Trainee at China Construction Bank in Shanghai. I focus on turning data into practical outcomes for client acquisition, relationship building, and decision quality.

At CCB, I marketed 25 credit cards and facilitated RMB 500K insurance referrals, strengthening asset allocation capability for high-net-worth clients. I advise clients on rates, limits, and risk matching, and I’ve ranked top 10 in the branch for corporate WeChat add-rate and engagement through integrated offline-to-online client management.

Previously, as a Nonferrous Metal Industry Market Research Intern at SDIC Securities, I updated and corrected industry databases and built valuation models for 15+ listed companies. I also wrote 2 in-depth copper-sector reports with forecasts and investment suggestions based on mining dynamics and historical data, supporting 12 roadshows with strategy and slides.

In quantitative roles, I interned at AGILE (Shanghai) Trading Technologies, where I developed a unified 5-minute candlestick pipeline from Upbit and Binance and built a dual-market hedging strategy using Kimchi Premium mean-reversion. I implemented an event-driven backtest framework with grid search for Sharpe ratio maximization and ran rolling-window robustness tests to validate adaptability across market regimes.

Experience

Work history, roles, and key accomplishments

CB
Current

Graduate Trainee

China Construction Bank

Aug 2025 - Present (10 months)

Marketed 25 credit cards and drove an RMB 500K insurance referral, advising HNW clients on rates, limits, and risk matching to improve conversion rates and engagement. Ranked top 10 in the branch for corporate WeChat add-rate and exceeded 100% of monthly targets through data-driven strategy optimization.

AL

Quantitative Research Intern

Agile (Shanghai) Trading Technologies Co., Ltd.

Sep 2023 - Dec 2023 (3 months)

Built a unified 5-minute candlestick data pipeline from Upbit and Binance with time-zone alignment, currency conversion, and dataset splitting for high-frequency arbitrage backtesting. Developed a dual-market hedging strategy using Kimchi Premium mean reversion and implemented an event-driven backtest framework with grid search threshold optimization and rolling-window robustness tests.

Education

Degrees, certifications, and relevant coursework

Hong Kong University of Science & Technology logoHT

Hong Kong University of Science & Technology

Master of Science in Financial Technology, Financial Technology

2024 - 2025

Grade: GPA: 3.387/4.3

Master of Science in Financial Technology (Sep 2024 – Jul 2025), with GPA 3.387/4.3.

Tongji University logoTU

Tongji University

Bachelor of Economics, Economics

2020 - 2024

Grade: GPA: 4.1/5.0

Bachelor of Economics (Sep 2020 – Jun 2024), with GPA 4.1/5.0.

Tech stack

Software and tools used professionally

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