Alaric Neo

I am a Quantitative Finance student at NUS with a strong interest in markets, trading, and client-facing investment work. I have built experience through HSBC Life, where I supported structured analysis, careful data handling, and product-related discussions, and through a research attachment at A*STAR, where I worked in a rigorous environment that required accuracy and discipline. I am also currently setting up a cross-faculty UROPS project with NUS Mathematics and NUS Medicine on using AI, R, and Python with event-driven data to study biotech stock price reactions.

Outside school, I follow markets closely through Bloomberg and Yahoo Finance, spend time learning options, hedging, and structured products, and have been building trading exposure through Topstep and alpha research. I work quickly, learn fast, and take ownership seriously. In group settings, if something needs to get done, I make sure it gets done.

Wealth Management Sales Intern at HSBC Life (2025-09 – 2026-03)

• Generated S$150K+ in investment-linked policy sales within first month through cold calling, pitching and client portfolio reviews.
• Prospected 600-700 clients weekly and built a 50+ client base across insurance, investment and retirement planning needs.
• Researched JPMorgan, BlackRock and other fund solutions to support market outlook, risk profile and allocation discussions.
• Built a private product-document chatbot that reduced manual contract lookup time and improved client-query response accuracy.

Quantitative Alpha Research Participant at WorldQuant BRAIN (2025-01 – Present)

• Submitted 11x US equity alpha strategies focused on momentum and mean-reversion signals across simulated market datasets.
• Developed an accepted one-day reversal alpha to capture temporary price dislocations after short-term liquidity shocks.
• Track failed and improved alpha iterations in Excel and Notion, evaluating turnover, robustness and predictive quality.

Funded Futures Trader at Topstep (2026-01 – Present)

• Passed Topstep evaluation within one month and secured a US$150K funded account trading NASDAQ and gold futures.
• Earned payout while trading under strict drawdown, position sizing and risk-management limits.

Research Intern at A*STAR, Institute of Molecular and Cell Biology (2023-05 – 2023-08)

• Conducted 19 CRISPR-related zebrafish experiments and analysed 50+ data points using Excel, Python and statistical methods.
• Presented findings that contributed to follow-up experimental direction, strengthening hypothesis testing and data accuracy.

UROPS Trading Researcher at NUS Mathematics x NUS Medicine (2026-01 – 2027-12)

Selected for cross-faculty AI-driven biotech trading research under Prof. Shi Hai, analysing 500+ clinical, FDA and corporate event data in Python to study short-term stock price reactions.

Business Development & Project Lead at My Secret Hacks (2021-11 – 2025-10)

• Co-secured S$300K+ in partnerships through proposal decks, stakeholder pitches and client negotiations.
• Managed campaign budgets exceeding S$150K and reduced overspending by close to 15% through tighter budget tracking.
• Worked directly with clients including Mediacorp, CNA, The Straits Times, Singapore Polytechnic and Lifelong Learning Institute.

Mathematics Olympiad Tutor at Think Academy (2025-09 – Present)

• Teach 80+ students across six Olympiad and SASMO-preparation classes, explaining quantitative concepts under time pressure.

BSc in Quantitative Finance (Honours) – National University of Singapore (2025-08 – 2028-08)

Diploma in Chemistry with Mathematics (Merit) – Singapore Polytechnic (2020-04 – 2023-04)