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Open to 2027 graduate opportunitiesHong Kong SAR

Jingxuan Wei / Vincent

Mathematical thinking.
Financial impact.

Mathematics postgraduate at CUHK with internships across quantitative research, bank technology risk and insurance finance. I use Python, Spark/Hadoop and machine learning to turn complex operational and financial data into decisions people can act on.

Download CVExplore selected work
Python•Spark / Hadoop•Machine Learning•Risk & Controls

About

Rigorous models.
Practical decisions.

I combine quantitative methods with a working understanding of financial operations, controls and technology risk.

I work at the intersection of quantitative modelling, data systems and financial operations — with a bias toward clear assumptions, measurable outcomes and practical delivery. My experience spans insurance finance, bank technology risk and quantitative research — giving me both the analytical toolkit and the operational context to work across middle- and back-office teams.

Build

Data pipelines & models

Understand

Risk, controls & finance

Deliver

Clear, usable decisions

Selected work

Six projects. One bias: make complexity usable.

From quantitative research and distributed data systems to optimisation and applied AI. Each case study focuses on the problem, my contribution and the measurable result.

Experience

Finance, risk and research — seen from the inside.

Three internships across insurance finance, bank technology operations and quantitative research.

01

Dec 2025 – Feb 2026

Generali China Life Insurance

Finance Intern

Jiangsu Branch

Finance operationsControlsExcelReconciliation

Finance operations, expense controls and monthly close support.

  • Processed 1,200+ accounting vouchers and 800+ invoices/receipts, maintaining reconciliation across ledgers, vouchers and physical records.
  • Reviewed 600+ expense claims against policy, returned 30+ non-compliant claims and created a standardised review checklist for the team.
  • Supported three monthly closes and investigated 50+ general-ledger versus sub-ledger variances using Excel PivotTables.

02

Jun – Sep 2025

OCBC Bank — China Head Office

Intern, Operations & Technology

China

Technology riskChange managementCVE remediationIT controls

Technology risk, change control and IT internal-control reviews.

  • Triaged 10,000+ daily IT operation-log entries covering approximately 1,000 servers across Singapore and Malaysia.
  • Reviewed 300+ monthly change requests against approved scope and maintenance windows, flagging unauthorised changes and tracking remediation.
  • Monitored 200+ high-risk CVEs against internal SLAs and performed 60+ configuration baseline checks against the bank’s ITMP policy.

03

Jan – Mar 2025

Chengdu Zhengfu Institute of Financial Engineering

Quantitative Research Intern

Chengdu

PythonQuant researchEnsemble MLBacktesting

Systematic trading research, feature engineering and ensemble modelling.

  • Independently researched a multi-factor timing strategy, coding and backtesting Bollinger Band, ADX and EMA signal rules.
  • Built a stacking ensemble combining XGBoost, LightGBM, Random Forest and LSTM with decision-threshold optimisation.
  • Used grid search and K-means clustering of SuperTrend performance to support adaptive parameter updates.

Research

Published work with a preference for difficult, messy systems.

Two sole-first-author IEEE papers, alongside a dissertation on physics-informed learning for complex soliton systems.

Sole first author

The Study of Network Connectivity and Traffic Impact Based on Random Walk Algorithm and Monte Carlo Simulation

ICAACE 2025 · IEEE · EI-indexed

01
Read on DOI

Sole first author

Heterogeneous Ensemble Learning Model for Time Series Processing Based on Multi-Dimensional Indicator Feature Engineering

AINIT 2025 · IEEE · EI-indexed

02
Read on DOI

Toolkit

Technical depth, framed for the business.

Tools are only useful when they make a decision more reliable or a process easier to control.

Programming

01
PythonJavaMATLABSolidity

Data & platforms

02
Hadoop (HDFS/YARN)HBaseSpark (RDD/DataFrame)DockerMaven

Modelling

03
Machine learningEnsemble methodsTime-series analysisOptimisationPINNs

Finance & risk

04
Financial analysisIT controlsChange managementReconciliationExpense controls

Education

A mathematical foundation, applied outward.

01

Sep 2026 – Jul 2027 (expected)

The Chinese University of Hong Kong

MSc in Mathematics

Computational Mathematics · Machine Learning · Game Theory · Financial Analysis · Stochastic Analysis

02

Jul – Aug 2024

Harvard University (Extension School)

Innovation Management & Decision Thinking

Summer Programme · Grade A

03

Sep 2022 – Jun 2026

Nanjing University of Information Science and Technology

BSc in Information & Computing Science

GPA 87.22/100 · Ranked 2/47 (top 4%) · School of Mathematics & Statistics

Recognition

Selected awards & distinctions.

  • Meritorious Winner, 2025 Mathematical Contest in Modeling (MCM/ICM)
  • Second Prize, 2024 Asia-Pacific Mathematical Contest in Modeling (APMCM)
  • First Prize, 21st “May Day” National Collegiate Mathematical Modelling Competition
  • Second Prize (East China), 2025 China Collegiate Computing Contest — AIGC Innovation Challenge
  • National Merit Award, 2024 China Collegiate Computing Contest — AIGC Innovation Challenge
  • First-Class University Scholarship · Outstanding Student Leader · Merit Student