C Programming, C++, Cloud computing, Data science techniques, Java Programming, Machine learning techniques, MATLAB Programming, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow
Two Sigma is a financial sciences company, combining data analysis, invention, and rigorous inquiry to help solve the toughest challenges in investment management, insurance technology, securities, private equity, and venture capital. Our team of scientists, technologists, and academics looks beyond the traditional to 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. 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.
We are seeking an experienced quantitative researcher to join our Market Making & Intraday Alpha (MMIA) team in London to develop new tactics leveraging our high performance proprietary trading platform across futures, ETFs and equities products. Ideal candidates will have industry experience researching, developing, testing, and deploying systematic short-horizon trading strategies, with a particular focus across European futures and equity markets to increase volumes traded and business profitability.
You will take on the following responsibilities:
You should possess the following qualifications:
Preferred qualifications:
Two Sigma is a financial sciences company, combining rigorous inquiry, data analysis, and invention to solve the toughest challenges in investment management, securities, private equity, insurance technology and venture capital. Our modelers and engineers develop ideas backed by information and improved by iteration. Empowered by extraordinary computing power and vast amounts of data, we build sophisticated predictive models.
London, UK
2-4 year