Quant strategy development intern building Python/QMT trading-data workflows across A-share candidate screening, call-auction monitoring, live dashboards, execution-plan validation, QMT order-submission support, and research-to-execution checks.
I also support macro quant research at SUFE with financial-data cleaning, event-study/DID pipelines, matched controls, and robustness checks. My public GitHub work is a sanitized project map of the same operating style: turn noisy market, research, and product data into reproducible datasets, dashboards, validation gates, and decision workflows.
Open to Quant Developer, Trading Data Analyst, Research Engineer, Data Analyst, and crypto/trading analytics roles in Singapore, Hong Kong, and remote APAC teams.
| Project | Signal for recruiters/interviewers | What to inspect |
|---|---|---|
| quant-trading-system | Full-stack quantitative research workspace with FastAPI, React, backtesting, realtime market monitoring, industry heatmaps, and paper-trading workflows. | Backtest engine, realtime dashboards, industry analysis, CI, browser regression assets. |
| super-pricing-system | Asset-pricing and macro mispricing research system with research workflow orchestration, alternative-data clusters, and Quant Lab experiments. | Pricing models, macro-factor pipelines, public summaries, E2E research tests. |
| index-inclusion-research | Empirical-finance research toolkit with event studies, matched controls, permutation tests, clustered SE, and an honest null-result narrative. | Research design, reproducible pipeline, robustness tables, dashboard, limitations docs. |
| altdata-brief | Multi-market alternative-data brief generator with scheduled validation, public-source adapters, RSS/Pages publishing, and quality gates. | Source adapters, strict validation, GitHub Actions, bilingual brief generation. |
| etf-512400 | Local-first ETF research console for realtime quotes, NAV/fallback checks, factor signals, source health, and strategy validation. | React/Vite research surface, realtime fallback contract, snapshot health CLI. |
| yieldwise | Secondary analytics project showing geospatial data modeling, PostGIS workflows, maps, candidate review queues, and local decision memos. | FastAPI/PostGIS schema, staged refresh jobs, spatial analysis, local-first data boundary. |
Python, SQL, Pandas, NumPy, QMT/xtquant, FastAPI, React/TypeScript, PostgreSQL/PostGIS, TimescaleDB, Redis/Celery, GitHub Actions, Playwright, event studies, causal inference, backtesting, data validation, dashboard QA.
- Start from a concrete research or trading workflow, then make the data path inspectable.
- Keep source freshness, schema contracts, and fallback behavior visible instead of hiding uncertainty.
- Prefer small, reproducible loops: define the hypothesis, build the pipeline, test the signal, expose the assumptions, and make the result easy for another person to review.
Private/company code is not published here. Public repositories are self-owned, sanitized projects intended to show engineering judgment, research discipline, and end-to-end execution.