Cai Wenguang

Drove sales lead conversion across the entire cycle, from initial engagement and needs analysis to Demo development and business implementation, onboarding multiple top-tier financial clients from 0 to 1.

Streamlined client requirements into abstract baseline solutions, collaborating with R&D to develop and continuously iterate an AI document training platform and parsing solutions.

Managed front-line project delivery, including comprehensive planning, implementation, acceptance, and maintenance, ensuring successful deployment for several key client projects.

Defined and iterated Project Delivery SOPs, overseeing team performance and key milestones to guarantee overall delivery quality and client satisfaction.

Tested and validated international market interest rate derivative pricing models including Vasicek, SABR, and SVBGM, covering Linear, Non-linear, and Hybrid product categories.

Contributed to the development of benchmark derivative pricing models utilizing C++, enhancing the accuracy and robustness of financial valuations.

Developed a Python-based model testing tool library and managed collaborative project development, streamlining the testing process.

Assisted in the development and optimization of a quantitative trading system for the domestic bond market, enhancing trading efficiency and strategy execution.

Developed and implemented quantitative arbitrage trading strategies, specifically focusing on Pair Trading, to generate returns for the student investment fund.

Analyzed market data and identified statistical arbitrage opportunities, enhancing the fund's diversified portfolio.

Conducted quantitative research utilizing machine learning to predict financial fraud in listed companies, identifying key risk indicators.

Analyzed industry stock return factors, contributing to a deeper understanding of market dynamics and investment strategies.