Quant Researcher  ·  Singapore  ·  NUS '28

DANIEL / 俊德 (Jun De)
QIAN

Patience, Humility, Dedication.
Math × CS × QF at NUS.
Finding alpha in the noise.

Quant Analyst Fintech Developer Optimization/Machine Learning Researcher Problem-Solving Point Guard🌹 Hiphop beat making Piano Explorer ...
Daniel hiking in the mountains
Daniel speaking at a ceremony
Daniel performing music on stage

// about

Who I am.

I'm a Year 2 student at NUS majoring in Mathematics (Operations Research & Data Analytics) with a second major in Computer Science and a minor in Quantitative Finance. Enrolled in the NUS College, Special Programme in Mathematics, with exchange at King's College London.

During the day I'm doing quant research and fintech development. After hours: hip-hop, piano, basketball, lifting weights, Go.

My track record spans WorldQuant (alpha mining, US + CN equities), Heritage Capital (high-frequency algo + DeFi), Eureal (ETF/index options), and Optiver's FutureFocus program — where I built up the fundamentals of options trading and excelled in challenges.

University

NUS · BSc(Hons) Mathematics

Standing

First Class Hons (Highest Distinction)

Exchange

King's College London (SEP)

CAP

4.63 / 5.00

Coursework

Fundamental QF · Probability · Stochastic Processes · Numerical Analysis · DSA · AI Planning · Software Engineering

Outside the markets

Basketball · Piano · Hip-hop beats · Go · Weights

Languages

English · Mandarin

Based in

Singapore 🇸🇬


// experience

Where I've traded, built & researched.

Jun 2026 – Present

BRAIN Research Consultant

WorldQuant · Contracted & Compensated

Developing institutional-grade equity alphas across US and CN markets using 125,000+ data fields — price-volume, fundamentals, options, and NLP news-sentiment. Systematically mining and refining alphas to meet live thresholds: Sharpe > 1.25, Fitness > 1, sub-universe Sharpe > 0.66, turnover, etc.

May 2026 – Present

Agentic AI Developer

Heritage Capital Management · Intern

Developed agentic AI chatbot for ETF and structural product investment recommendations for clients. Built an agentic AI mobile app for planning credit card payment choice to maximise rewards — formulated as a multi-period MILP optimizer using PuLP by COIN-OR.

May 2026 – Present

Quantitative Researcher

Heritage Capital Management · Intern

Researching trend-following-with-seasonality, Johansen-contrarian strategies, vol prediction and portfolio optimization. Implementing Deep Momentum Network with Changepoint Detection using LSTM and transformer. Extracting blockchain data on perpetual futures and spots from Hyperliquid API for prediction and algo trading strategies.

Dec 2025 – Jan 2026

Quantitative Researcher

Eureal Investment · Intern

Implemented gamma scalping on index and ETF options using dynamic rehedging thresholds optimized for transaction costs, enhanced with dynamically computed VIX and SKEW for volatility regime adaptation.

Jan 2025 – Present

Quantitative Reasoning & Computation Clinic Assistant

NUS College · Part-time

Providing guidance to students on statistics and data reasoning — building foundational skills in quantitative thinking. Facilitating individual and group sessions, channelling queries into structured discussions to deepen conceptual understanding.

Aug 2025 – Apr 2026

Quantitative Researcher

NUS Investment Society · QF Department

Received structured training in investment fundamentals, strategy robustness, model optimization, and alpha discovery. Calibrated jump-diffusion and Heston parameters to market option data with assessment of hedging performance vs. Black-Scholes delta hedging. Explored trend-following, contrarian, and ML-driven alpha strategies. Completed semester project: EMOT-Guided Leverage Management via Market-Consistent Path Measures.

Aug 2025

Quantitative Research Participant

Optiver · Trading & Research FutureFocus Program

Top 5 finisher across trade-athon, commodity trading, algo trading among 26 participants. Researched volatility forecasting — GARCH / HAR / LSTM vs. implied vol — and backtested delta-neutral strategies including straddles, variance swaps, and volatility arbitrage under high-frequency execution on Optibook.


// research

What I've been working on.

Deep RL · Hedging · Active

Deep Reinforcement Learning for Cost-Optimal Option Hedging

PPO-based deep hedging framework reducing transaction costs while maintaining hedging accuracy. Custom OpenAI Gym environment with realistic market microstructure; trained on 50,000+ simulated episodes across volatility regimes, with emergent no-trade zones that optimize rebalancing frequency vs. hedging error.

Stochastic OT · Leverage · Complete

EMOT-Guided Leverage Management via Market-Consistent Path Measures

Dynamic leverage system for QQQ via Entropic Martingale Optimal Transport — recovering RND from live options chains via Breeden–Litzenberger, calibrating a Schrödinger bridge path measure, and deriving ever-drawdown probabilities as a proportional leverage rule. Benchmarked against passive QQQ, historical CVaR, and GARCH(1,1) signals, demonstrating superior Sortino ratio, Max DD, and Calmar ratio.

View Report →

Meta-Learning · Algo Optimization · UROP · Active

Isomorphic Dataset for Algorithm & Parameter Optimization

Introduced an isomorphism-quotient framework for meta-learning that uses exact functional-graph invariants of nearest-neighbor datasets as principled meta-features; reframing synthetic-data coverage as covering isomorphism classes to bound the minimum meta-dataset size. Building a benchmark aiming to show they outperform standard statistical meta-features for algorithm selection.

Causal Inference · Published

IPW & Doubly Robust for ITE Estimation on Sepsis Antibiotics

Causal inference framework with pseudo-mini-batch re-weighting to mimic RCTs. Applied IPW + DR estimator on ~100K real-world EHR records; model-recommended antibiotic timing narrowed 30/60-day mortality gap below 3%. Published in Applied and Computational Engineering.

Read Publication →

// projects

Things I've built.

AI · Fintech · SingHacks

AI-Powered Conversational Travel Insurance Assistant

Agentic AI concierge automating policy comparison and in-chat purchase via WhatsApp/Telegram in a multi-agent Manager–Worker architecture. XGBoost claims risk scoring engine combining actuarial factors; document intelligence pipeline converting raw PDFs to structured taxonomy.

View Repo →

Oral History · GIS · Community

Urbanization of North Penang & Case Studies of Paramount Fishermen

Documented oral histories, cultural practices, and socioeconomic impacts of land reclamation through community collaboration. Designed and launched an interactive cultural map visualizing reclaimed-coastline impacts, with multimedia exhibits. In partnership with NGO JEDI.

View Website →

// stack

Tools of the trade.

Python Stochastic Calculus Deep Learning Options Pricing Alpha Research Reinforcement Learning Backtesting GARCH / HAR / LSTM Causal Inference Portfolio Optimization Market Microstructure R SQL Java C++ Lingo MATLAB Bash Git Power BI Excel
// libraries
NumPy pandas PyTorch / TensorFlow scikit-learn statsmodels OpenAI Gym PuLP QuantLib Jupyter

// awards & certs

Recognition.

🏆

MCM Finalist — Global Top 25

The Mathematical Contest in Modelling · 2025

🃏

Jane Street Estimathon — 3rd Place

Jane Street · NUS

🥇

British Physics Olympiad — Gold Award

BPhO

📐

AMC12 Honor Roll — Global Top 2.5%

American Mathematics Competition

WorldQuant Challenge — Gold Level

WorldQuant · 2026

📊

Bloomberg Market Concepts & Spreadsheet Analysis

Bloomberg · 2025

📈

Kaggle Certifications: Advanced SQL · Time Series · Feature Engineering

Kaggle · 2025–2026

🎯

Akuna Options 101

Akuna Capital · 2026

Quant Pathway Completion

AmplifyMe · 2026


// contact

Let's talk markets.

Or beats. Or basketball. Open to quant, trading, and fintech roles in Singapore, Hong Kong, Shanghai and beyond.