Jingxuan Wei / Vincent
Mathematics.
Made operational.
CUHK Mathematics postgraduate with internships across quantitative research, bank technology risk and insurance finance. I combine mathematical modelling, hands-on software development and end-to-end project delivery to turn complex financial and operational problems into practical, usable systems.
Mathematics
CUHK MSc · modelling, probability and stochastic analysis
Code & data
Python · Spark/Hadoop · machine learning · data systems
Project delivery
21 project packages · 2 IEEE first-author papers
Internships
Finance · technology risk · quantitative research
Approach
Rigorous models.
Operational reality.
I combine quantitative modelling, data engineering and financial-operations experience to turn complex problems into measurable, usable solutions.
Explore
Choose where to go next.
A searchable library and six focused case studies.
Project Library.
Reports, competition papers, presentations, source code and technical notes across 21 project folders.
39 unique files · searchable · CV-linked
Selected Work.
Quant research, Spark, Hadoop/HBase, logistics optimisation, PINNs and TalentLink.
Download CV.
Education, internships, publications, awards and technical toolkit.
Contact card.
Email, phone numbers, location and availability.