{"data":{"jobs":{"edges":[{"node":{"frontmatter":{"title":"Software Engineer - AI/ML","company":"Christofferson Robb & Company","location":"New York City, NY","range":"June 2024 - Present","url":"https://www.christoffersonrobb.com/"},"html":"<ul>\n<li>Built multi-threaded NLP pipelines to extract signals from unstructured financial text, integrating chunking, embedding generation, vector indexing, and SPLADE search to support research across millions of documents.</li>\n<li>Developed an internal LLM-driven research assistant using RAG, hybrid dense/sparse retrieval, and on-demand prompt orchestration, enabling avg 10ms semantic lookup and accelerating internal research workflows.</li>\n<li>Developed credit transition–matrix models from multi-million–record loan tape datasets to estimate borrower migration, delinquency paths, and downgrade/default probabilities, providing inputs for credit-risk assessment and fixed-income portfolio valuation.</li>\n<li>Optimized Monte Carlo simulation workflows for risk analysis via parallelized computation with Numba and Cython, achieving 15× runtime improvement and 100× speed-up over Excel benchmarks.</li>\n</ul>"}},{"node":{"frontmatter":{"title":"Graduate Consultant","company":"Bain & Company","location":"New York","range":"October 2023 - May 2024","url":"https://www.bain.com/"},"html":"<ul>\n<li>Designed and developed a regression-tree-based evaluation framework integrating quantitative performance metrics to assess and rank AI-driven investment strategies.</li>\n<li>Published an internal white paper detailing methodology and implementation, which was adopted into the firm’s systematic strategy selection workflow</li>\n</ul>"}},{"node":{"frontmatter":{"title":"Software Engineer Intern","company":"Christofferson Robb & Company","location":"New York City, NY","range":"May 2023 - May 2024","url":"https://www.christoffersonrobb.com"},"html":"<ul>\n<li>Optimized and maintained an in-house electronic trading platform, managing full-stack web components and backend Linux services; enabled PHP opcache optimization to improve system performance by 25%.</li>\n<li>Engineered low-latency Python socket servers for real-time Bloomberg market-data streaming and customized a C++ QuickFIX engine to support order routing and execution.</li>\n<li>Independently designed and implemented website pages for a company portal based on Ext.JS and PHP</li>\n</ul>"}},{"node":{"frontmatter":{"title":"Founder/Developer","company":"Apply.AI","location":"Hong Kong","range":"April 2023 - April 2024","url":"https://applyai.azurewebsites.net/"},"html":"<ul>\n<li>Apply.AI is a ChatGPT-based platform designed to improve the efficiency of job seekers in applying for jobs</li>\n<li>Architected a hybrid AI query workflow inspired by Retrieval-Augmented Generation (RAG), pre-caching user embeddings via NLP for sub-10 ms context retrieval and dynamically selecting relevant historical context; built scalable full-stack infrastructure with Spring Boot, Django, and Redis</li>\n</ul>"}},{"node":{"frontmatter":{"title":"Quant Strat & Software Engineer Intern","company":"Gousen Securities","location":"GuangDong, China","range":"July 2018 - Augest 2018","url":"https://www.guosen.com.cn/gs/index.html"},"html":"<ul>\n<li>Constructed and validated multi-factor stock selection models integrating momentum indicators and fundamental factors under the Barra Risk Model by Python, with extra factor exposure analysis, and back-testing.</li>\n<li>Implemented a Q-learning–based RL model to dynamically enhance trading signal robustness for single-stock strategies, achieving ~3% higher annualized return while maintaining the same Sharpe ratio as the baseline strategy.</li>\n</ul>"}}]}}}