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.
As a Software Engineer in our Modeling Engineering group, you will play a meaningful role in improving the efficiency of our modelers. Your expertise will allow Two Sigma quantitative researchers to rapidly explore and implement innovative trading strategies across global financial markets.
You’ll quickly engage with new research areas, deepen your expertise with Two Sigma data and tools, maintain high coding standards, and identify impactful projects in a complex and critical field.
Responsibilities
* Partner with quantitative researchers and traders to discover and monetize the hidden value of data through data science and software engineering
* Build and maintain a suite of analysis tools that enable their quantitative research
* Develop and extend our trading platform to support new markets and asset classes, ensuring seamless integration and operation.
* Analyze trading performance to inform strategic improvements and decision‑making.
* Build technologies that bolster our trading businesses and drive productivity enhancements, teamwork, and risk reduction across the company.
Qualifications
* Minimum 1 year of experience required; 5+ years of experience in cutting‑edge software engineering preferred
* A Bachelors with Honours in a relevant discipline is required or a MS degree in Computer Science, Engineering, or a related field.
* An understanding of data structures and algorithms
* Experience with Python, Java, C or C++
* Strong understanding of distributed systems, networking, and market microstructure knowledge is highly preferred.
* Experience in trading or finance is a plus
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