CV

Education

University of Warwick, MSc in Statistics (expected Distinction)(Expected Sep 2026) — United Kingdom
National University of Singapore - School of Computing, BSc in Business Analytics with Honours (Distinction)(May 2025) — Singapore

Bastion Trading · Proprietary Trading Firm, Quant Intern(Jul 2025 - Sep 2025) — Singapore
Maven11 · Digital Asset Hedge Fund, Data Analyst Intern(Sep 2023 - Jul 2024) — Amsterdam, The Netherlands
Stablecorp · Stablecoin Payment Infrastructure, Data Analyst Intern(Aug 2022 - Jul 2023) — Toronto, Canada
Micron Technology · Semiconductor Manufacturing, Analyst Intern(May 2021 - Aug 2021) — Singapore
- Part of Smart Manufacturing and AI group (SMAI).

(Jan 2025 - Mar 2025) — Built a Monte Carlo risk model for leveraged BTC perpetual futures using Python (pandas, numpy, scipy), fitting Pearson Type III distributions to hourly funding-rate and return data and simulating 3-month P&L paths under 2x leverage.
Automotive Supply Chain Aggregator using LLMs(Aug 2024 - Dec 2024) — Partnered with Xeptagon to build an automotive supply-chain aggregator for component sourcing.
(Aug 2024 - Dec 2024) — Developed a market-cap-weighted RSI mean-reversion strategy across 49 QQQ constituents and automated model selection by evaluating 4,368 portfolio combinations across 3 RSI windows.
Lancer(Jan 2023 - June 2023) — A freelance aggregator platform to streamline freelance hiring process. Awarded $10,000 SGD from the NUS Venture Initiation Programme. Attended Collision 2023 under the Alpha Startup Programme.
(Jun 2023 - Jun 2023) — Web3 analytics dashboard to evaluate the credit of on-chain wallets. Won 1st Prize from Airstack and 3rd Prize from MakerDAO at ETHWaterloo 2023.
(Jan 2022 - May 2022) — Utilized NLP techniques to analyze Twitter and Reddit sentiment towards Houston Rockets and identified key factors using Latent Dirichlet Allocation (LDA) to provide recommendations for NBA team Houston Rockets.
(Jun 2021 - Jun 2021) — Participated in NUS Enterprise The Hangar Booster Programme. Pitched startup idea of FitTogether, a Flutter based fitness coach application.

(2025) — Ryan Tan. Research on applying reinforcement learning to dynamically execute basis arbitrage.
(2025/2026) — Ryan Tan. MSc Statistics. ST961, ST963, ST413, ST407, ST411, ST420, ST405, ST964.
(2023) — Stablecorp Team. Researched exploit risk across DeFi protocols and developed a proprietary risk score.

Hackathons — NUS Venture Initiation Programme ($10,000 SGD), ETHWaterloo2023 ($3,000 USD)
Languages — English (Fluent), Mandarin (Native), Spanish (Conversational)
Coding Languages — Python (Pandas, Polars, NumPy, scikit-learn), Java, SQL, Bash.
Technical Stack — Databases: PostgreSQL, MongoDB; Infrastructure: AWS EC2, Docker, Git, Linux; LLM Agent Tools: Claude Code, Codex, LangChain, Openclaw.
Interests — Long Distance Running (Half Marathon PB: 1:25), Hiking and Camping, Ultimate Frisbee and Japanese Anime