Quantitative Trading Strategist

Company Description

Founded with a mission to empower traders, Ant Investment stands out as industry veterans who understand the problems of trading and execution. We provide financial assistance to ace traders and firms, supported by very patient capital and a long-term association with brokers for executional superiority.

Role Description

This is a contract based profit sharing role for a Funded Algo / Quant Trader at Ant Investments. The trader will focus on designing, testing, and executing algorithmic trading strategies. The role includes analyzing datasets to identify profitable signals, optimizing trading performance, and adapting algorithms to evolving market conditions. Collaboration with quantitative researchers, risk managers, and other team members is also expected to improve strategy effectiveness and ensure compliance with trading regulations.

Qualifications

• Strong expertise in Market Making and Trading Strategies
• Proficiency in Quantitative Investing and Trading
• Experience with Quantitative Analytics and data-driven decision-making
• Proven analytical and mathematical problem-solving skills
• Proficiency in programming languages such as Python, R, or C++
• Ability to work independently and collaboratively in a remote, fast-paced environment
• Strong understanding of financial markets and instruments
• Bachelor's or advanced degree in Mathematics, Economics, Computer Science, Finance, or a related field