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. Technology drives our business — it's our main advantage — and software engineers play a pivotal role. Software engineers at Two Sigma focus on analysis, experimentation, design, and elegant implementation. They build the scalable tools the organization needs to explore data's possibilities and act on our findings – to mine the past and attempt to predict the future. As a Two Sigma engineer, you'll champion the rigorous, collaborative, scientific approach that allows us to meet business needs. You'll join a forward-looking, future-reaching organization to build software that will scale with the company. You'll have opportunities to learn from others and share your expertise. We attract engineers with a real passion for data. We seek individuals who want to build for today and invent for tomorrow. We value curiosity and insight, balanced with pragmatism and practicality. We recognize both the small steps, as well as the broad vision. As a student, you will be hired into a general Software Engineering role and matched to a specific team 2-3 months before you start. Depending on the Engineering area you join, you will take on the following responsibilities: • Building the underlying infrastructure that virtually every other engineering team at Two Sigma uses, such as our distributed storage and public and private cloud environments. • Ensuring the reliability of “mission critical” products and systems vital to Two Sigma, such as our main trading system. • Using a suite of open source and proprietary tools to build the environments that test and deploy our quantitative strategies, also known as models. • Building and maintaining the low-latency, high-performance infrastructure and systems responsible for executing trades. • Building and scaling the infrastructure used to ingest data from 10,000+ sources daily. • Partnering with our Corporate teams to develop tools, systems and products responsible for increasing productivity and efficiency across the organization. Wondering if this is the right role for you? You should possess the following qualifications: • A Bachelor’s, Master’s, or PhD degree in a technical or quantitative field. • Experience with Java, C, C++, Python, Ruby, Perl, or other languages that target the JVM. • Experience in large-scale systems. • Exceptional programming skills. • Strong analytical, organizational, and interpersonal skills. • A passion of building quality software. • We are open-minded in our search for critical thinkers who are passionate about technology. While we analyze the data-rich domain of finance, financial experience is not a requirement.