We're looking for skilled systematic traders who can develop, implement, and manage quantitative trading strategies across equities and derivatives . This is a contractual position offering unparalleled profit sharing opportunities for proven performers. Key Responsibilities Develop and optimize systematic trading algorithms and strategies Conduct rigorous back testing and statistical analysis of trading models Monitor real-time trading performance and risk metrics Implement risk management protocols and position sizing methodologies Collaborate with our technology team to enhance trading infrastructure Maintain detailed documentation of trading strategies and performance Requirements Proven track record in systematic/algorithmic trading with verifiable results Deep understanding of quantitative finance, statistical modeling, and risk management Experience with market microstructure, execution algorithms, and latency optimization Bachelor's degree in Finance, Mathematics, Computer Science, Physics, or related field Professional experience at hedge funds, prop trading firms, or investment banks preferred What We Offer Profit sharing up to 70% for established track records 100% profit sharing option available at fixed cost of capital Access to substantial trading capital based on performance State-of-the-art trading infrastructure and low-latency execution Flexible remote work arrangements Professional development opportunities and continuous learning environment No desk fees
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