Quantitative Software Engineer Intern — Hybrid NYC

Two Sigma; New York (NY); On-site; USD 8,991,000 - 9,937,000; Full time

Benefits offered by this job

Onsite gym and wellness facilities

Hybrid work policy

Job summary

Two Sigma in New York City is offering a 10-week software engineering internship in our Soho office. You will be hired into a general Software Engineering role and matched to a specific team 2-3 months before you start, collaborating with engineers, quantitative researchers, and data scientists.

You will contribute to building scalable infrastructure, ensuring reliability of critical trading systems, and using open source and proprietary tools to test and deploy models, while gaining hands-on

Qualifications

• Coursework towards 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.
• Open-minded in search for critical thinkers who are passionate about technology; financial experience not required.

Responsibilities

• Building the underlying infrastructure used by multiple engineering teams (distributed storage, public/private cloud environments).
• Ensuring reliability of mission-critical products and systems (e.g., main trading system).
• Using open source and proprietary tools to build environments that test and deploy quantitative models.
• Building and maintaining low-latency, high-performance infrastructure for trade execution.
• Scaling infrastructure to ingest data from 10,000+ sources daily.
• Partnering with Corporate teams to develop tools and systems to increase productivity and efficiency.

Skills

Programming languages

Education

Bachelor/Master/PhD coursework

Job description

Two Sigma in New York City is offering a 10-week software engineering internship in our Soho office. You will be hired into a general Software Engineering role and matched to a specific team 2-3 months before you start, collaborating with engineers, quantitative researchers, and data scientists.

You will contribute to building scalable infrastructure, ensuring reliability of critical trading systems, and using open source and proprietary tools to test and deploy models, while gaining hands-on