Jivin Wang
Quant at ChangSheng Fund Management
Beijing, China
Summary
🤩
Rockstar🎓
Top SchoolJivin Wang is a quantitative professional with a decade of experience blending financial engineering and software development, currently applying his skills as a Quant at ChangSheng Fund Management in Beijing. He holds advanced degrees from HKUST and the Chinese Academy of Sciences and a B.S. from Peking University, combining rigorous math, CS and electronics training. Jivin has a strong systems and programming background—C/C++, SQL, MATLAB and VBA—and practical experience in derivatives, fixed income pricing and risk analysis. He also contributed to NVIDIA’s open-source HugeCTR project, improving embedding plugin and data-loading code for high-efficiency GPU CTR training, reflecting a rare cross-cutting expertise in both quant models and production ML infrastructure. Colleagues describe him as analytical, creative and effective at managing projects and teams across technical domains.
10 years of coding experience
1 year of employment as a software developer
B.S, Electronics Engineering, B.S, Electronics Engineering at Peking UniversityM.S, Financial Mathematics and Statistics, M.S, Financial Mathematics and Statistics at Hong Kong University of Science and TechnologyM.S, Computer Science, M.S, Computer Science at Chinese Academy of Science
Github Skills (6)
cuda10
c-language10
cprogramming-language10
tensorflow9
machine-learning8
data-engineering7
Programming languages (5)
Github contributions (5)
NVIDIA-Merlin/HugeCTR
Sep 2019 - Sep 2022
HugeCTR is a high efficiency GPU framework designed for Click-Through-Rate (CTR) estimating training
Role in this project:
Back-end Developer
Back-end DeveloperContributions:25 releases, 3 reviews, 1621 commits in 3 years
Contributions summary:Jivin's contributions focus on cleaning and restructuring the embedding plugin code within the HugeCTR repository. They merged multiple branches to integrate bug fixes and clean-up of existing code. The changes include modifying code in main.cpp, data_reader_worker.hpp, and session.cpp, reflecting a focus on enhancing the data loading and training process. They also worked on an existing DCN model, and a pre-processing tool with NVTabular data reader.
cudapytorchcppgpu-accelerationdeep-learning
zehuanw/CPP_PROGRAMMING
Dec 2017 - Jul 2020
Contributions:1 release, 6 pushes, 1 branch in 2 years 7 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.