Two Sigma
Two Sigma Securities, Software Engineer
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Position Summary
Two Sigma is a leading quantitative investment management and trading firm. The company applies a scientific approach to investing, combining cutting-edge technology, artificial intelligence, data science, and quantitative research with rigorous human inquiry to capitalize on market opportunities and deliver alpha for investors.
Our team of engineers, quantitative researchers and data scientists looks beyond the traditional to test hypotheses and develop creative solutions to some of the world’s most complex economic problems.
Two Sigma Securities brings a scientific approach to systematic trading and risk management to make markets more efficient. Our team trades over 10,000 US equities and 4,000 listed options, leveraging our high performance trading system to execute over 850 million shares per day. Two Sigma Securities is entering an exciting growth phase. We value the insights of our colleagues and encourage them to innovate and shape their own work agenda. New joiners use our proprietary platform to work on diverse projects. From building next generation trading technologies and researching novel AI and machine learning techniques to enhancing our strategies and deploying automation, our team is pushing the frontier in systematic trading.
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We are looking for a Software Engineer to join our Wholesale Market Making (WMM) Engineering team. This role will involve building trading systems and research infrastructure for a market-making business that provides liquidity to retail brokerages, working at the intersection of high-performance engineering and quantitative finance. This is a high-impact opportunity on a small, focused team with clear and measurable outcomes, where the engineer will help shape a modern trading platform from the ground up while collaborating daily with top-tier researchers and traders.
You Will Take On The Following Responsibilities
Design, build, and optimize a next-generation, low-latency, high-throughput trading platform Develop and maintain research infrastructure supporting strategy development and analysis Collaborate closely with quantitative researchers, modelers, and traders to solve pivotal business problems Deliver engineering work that directly impacts trading performance and revenue
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You Should Posses The Following Qualifications
Minimum 1 year of experience in software engineering required; 5+ years in cutting-edge software engineering preferred A Bachelor's degree with Honours in a relevant discipline required, or a Master's degree in Computer Science, Engineering, or a related field Proficiency with Python, Java, C, or C++ Interest in distributed, high-performance, and low-latency systems Ability to collaborate effectively with technical and business stakeholders Experience in trading, financial systems, or other latency-sensitive domains is a plus but not required
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