[Hiring] Senior Quantitative Trader @Weekday AI

Role Description

We are seeking a Senior Quant Trader with 5 to 8 years of experience and a demonstrated track record in creating and implementing systematic trading strategies. The ideal candidate should possess strong skills in alpha generation, statistical modeling, and risk management across various asset classes, including equities, derivatives, crypto, or global macro markets.

• Design, backtest, and implement quantitative trading strategies.
• Consistently generate alpha by leveraging statistical and machine learning models.
• Perform comprehensive data analysis and research to identify market inefficiencies.
• Enhance execution strategies while minimizing slippage.
• Develop and maintain robust risk management systems.
• Work closely with technology and research teams to improve trading infrastructure.
• Oversee live trading strategies and continuously optimize their performance.

Qualifications

• 5–8 years of experience in proprietary trading, hedge funds, or quantitative trading environments.
• Proficient programming skills in Python, C++, or comparable languages.
• Strong knowledge of probability, statistics, time-series analysis, and financial mathematics.
• Experience with backtesting tools and trading platforms.
• In-depth understanding of derivatives, market microstructure, and execution tactics.
• Proven history of developing profitable trading strategies.

Requirements

• Background in high-frequency or mid-frequency trading.
• Familiarity with machine learning methodologies.
• Expertise in portfolio construction and capital allocation.
• Capability to excel in a fast-moving, results-oriented environment.

Benefits

• Substantial capital allocation tied to performance.
• Opportunity to join as an early team member.
• Competitive compensation linked to profit and loss.
• Direct interaction with company leadership.
• Chance to create and scale trading strategies with ownership.