Hilko Chang
Mathematician, data scientist and quantitative researcher. Experienced in designing and implementing end-to-end systems, including LLM-based applications.
About
Mathematician, data scientist and quantitative researcher. Experienced in designing and implementing end-to-end systems, including LLM-based applications. Bridging research with production-grade software engineering. I translate business challenges into scalable, high-impact solutions.
In my work, I combine rigorous research with practical engineering, leading data science and quantitative research initiatives across trading desks and financial services. Skilled in Python, C++, React, and modern ML frameworks to empower decision-makers with trustworthy analytics.
- 19 years' experience
- Joined April 2026
Skills· 13
Languages
- EnglishFluent
- DutchFluent
Industry experience
- Financial Services
- Software & Internet
- Professional Services
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Work experience· 7 roles
Research and data analysis in Python for systematic trading. Projects include sentiment analysis of news with LangChain/LLMs, developing a sentiment-based trading signal, backtesting a Retail Flow strategy, and building systematic signals such as Carry Scanner, Bond Demand, and Futures Volume monitors with dashboards (React front-end). Modelled the impact of interest rate movements on stock indices using multivariate regression and Gaussian Mixture Models.
Within a PM pod worked on two global macro systematic strategies (cross-currency swaps and FX spot). The strategies rebalance daily. Managed the team’s research process for signals from idea through backtesting to production deployment. Developed a new relative value signal based on PCA residuals. Performed transaction cost analysis and optimization; researched mathematical methods for portfolio allocation.
Developed quantitative pricing models within the firm’s cross-asset C++ quant library. Implemented pricing for rates and FX products. Integrated these models and the library into Python codebase and Excel add-ins to empower the business. Supported PMs in their use of the quant library and mentored junior team members.
Education· 5
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