CO-FOUNDER / PARTNER — QUANTITATIVE TRADING

CO-FOUNDER / PARTNER — QUANTITATIVE TRADING

Remote | Global | Toronto, New York & Abu Dhabi

A newly launching quantitative trading fund is looking for a Co-Founder / Partner to take ownership of a live trading book and help build the fund from the ground up.

This is not a research-only role.

You will own an AUM sleeve and lead a trading pod, with responsibility for strategy development, live positions, execution, risk and P&L. You’ll have the autonomy to make trading decisions while working alongside an experienced founding team to scale the broader platform.

What you’ll be responsible for

• Own a live trading sleeve and its P&L
• Lead a pod from research → strategy design → deployment → execution → risk management
• Make decisions around sizing, parameters, overrides and de-risking
• Develop and deploy systematic/quantitative trading strategies
• Work closely with engineering to bring strategies into production
• Recruit and help build additional trading pods
• Contribute to shared infrastructure, risk systems and investment processes
• Support investor diligence and capital formation as the platform grows
• Communicate trading decisions, performance and drawdowns clearly to senior stakeholders

Key requirements

• We are looking for a trader first and a quant second.
• Proven experience personally owning live trading positions, drawdowns and P&L
• A track record of deployable, live trading strategies
• Strong background in quantitative trading / systematic strategies
• Strong mathematics, statistics, quantitative research and/or ML foundations
• Deep understanding of trading systems, execution and risk controls
• Ability to work effectively with engineering teams to deploy strategies
• Strong traditional financial markets background is highly desirable
• Digital assets experience is valuable
• Existing strategy IP / research that can be deployed is a strong advantage
• Comfortable making independent trading decisions and taking accountability for outcomes
• Strong communication skills — able to explain performance, risk and drawdowns clearly
• AI-native approach to research and trading, including practical use of LLMs, agents and modern research tools
• Entrepreneurial mindset and willingness to help build the fund beyond your own book
• Prior experience helping build or scale a fund is advantageous

This is a genuine partner-level opportunity with significant autonomy and economics tied directly to performance.