Varsity Tech – Experienced Quant Trader – Live Portfolio Management

We are building an AI-first quantitative trading and research platform focused on systematically discovering and executing trading strategies. Our trading arm runs fully automated strategies in US equities, with a focus on small/mid-cap inefficiencies, intraday trading and data-driven edge discovery. We combine proprietary backtesting infrastructure, quantitative research workflows and AI-assisted (multi-agent) strategy development.

About the role
We’re looking for an experienced quantitative trader with a proven live-trading track record to join Varsity Tech. This role is for someone who has traded real capital, understands execution and portfolio risk, and can demonstrate results beyond backtests.
The successful candidate will be given a live portfolio to manage, within agreed risk limits and oversight.

What you’ll do
- Develop, validate and trade systematic strategies using real capital.
- Manage portfolio exposure, position sizing, drawdowns and execution quality.
- Monitor live performance and investigate differences between backtested and actual results.
- Work with our researchers and engineers to improve data, trading infrastructure and monitoring.
- Maintain clear records of strategy decisions, performance and risk.

What we’re looking for
- Hands-on experience running quantitative or systematic strategies in live markets.
- A verifiable live-trading track record showing returns, drawdowns, capital traded and the period covered.
- A sound understanding of transaction costs, slippage, liquidity, leverage and portfolio risk.
- Strong research and programming skills, preferably in Python.
- The discipline to follow risk limits and explain when a strategy should be reduced, paused or retired.
- Clear ownership of your contribution to any team or fund results you present.

What you’ll gain
- A live portfolio to manage, with an opportunity to demonstrate your trading ability on real capital.
- Collaboration with an AI-focused quantitative research and engineering team.
- The opportunity to help shape strategy development and trading systems.

Salary
S$1,000–2,000 monthly. Final salary is negotiable.

How to apply
Please submit your CV and a brief overview of your live-trading experience, including markets traded, strategy types, length of track record, capital managed, returns and maximum drawdown. Explain your personal role in developing and running the strategies.
An anonymised performance summary is welcome for the initial application. Please don’t share confidential employer information, account credentials or proprietary strategy code. Backtests and paper-trading results may support your application, but do not replace a live-trading track record.