CO-FOUNDER / PARTNER — QUANTITATIVE TRADING

Job summary

Own a live trading sleeve and its P&L, leading a trading pod through research, strategy design, deployment, execution, and risk management. Help scale the fund by building additional pods and shared infrastructure, supporting capital formation, and communicating performance and risk to stakeholders.

Job details

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.

What you’ll do

Own a live trading sleeve and its P&L, leading a trading pod through research, strategy design, deployment, execution, and risk management. Help scale the fund by building additional pods and shared infrastructure, supporting capital formation, and communicating performance and risk to stakeholders.

Requirements

The role requires a proven record of personally managing live positions, drawdowns, P&L, and deployable quantitative strategies, alongside strong quantitative foundations and knowledge of trading systems, execution, and risk controls. Candidates should be comfortable making independent decisions, collaborating with engineering, communicating outcomes clearly, and contributing entrepreneurially to the fund; traditional markets experience is highly desirable, while digital assets experience and deployable strategy IP are advantages.

Listed skills

• Risk Management · Preferred
• Machine learning · Preferred
• Communication · Preferred
• Team Leadership · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Quantitative Trading
• Systematic Trading Strategies
• Live Trading
• Strategy Development
• Trading Execution
• Risk Management
• P&L Ownership
• Quantitative Research
• Mathematics
• Statistics
• Machine Learning
• Trading Systems
• Strategy Deployment
• Team Leadership
• Investor Diligence
• Communication

Job areas

• Finance & Accounting
• Management & Leadership
• Data & Analytics
• Science & Research