Two Sigma
Posted 178 days agoVerified live 6h ago
Quantitative Software Engineer
Brief overview
New York, United StatesIn-person
UndergradOr in progress
$165k–$250k/yrStated range
1+ yrsMinimum
261 H-1B approvalsDept. of Labor
77 green cardsCertified filings
Quantitative software development.Scientific computing.Algorithm development.Python programming.NumPy, SciPy, scikit-learn.Machine learning and deep learning.Mathematical and statistical modeling.System architecture design.Performance optimization.Scalability improvement.Distributed systems development.Real-time systems development.
About the company
Two Sigmatwosigma.com
Two Sigma's technology-driven team streamlines the use of machine learning, distributed computing and research to guide its endeavors.
Visa sponsorship history
4 years sponsoring, last filed FY2026
Data powered by U.S. Department of Labor. This does not guarantee sponsorship for this specific role.261H-1B approved
100%approval rate
83new H-1B hires
77PERM certified
$220,000median wage / yr
H-1B Petition ApprovalsVisas USCIS actually granted: the strongest sign the company sponsors.
202385
202471
202596
20269
LCA Certified ApplicationsAn early filing step, not a visa approval: it signals intent, not confirmed sponsorship.
202321
202418
202525
20265
Green Card (PERM) FilingsCertified green card filings: a long-term commitment to international hires.
202312
202420
202541
20264
Top sponsored roles
Quantitative ResearcherSoftware EngineerQuantitative Software EngineerQuantitative ResearcherData Scientist
Sponsored employees from
ChinaIndiaSouth KoreaCanadaColombia
Job description
Summary
Two Sigma is a leading quantitative investment management and trading firm that utilizes cutting-edge technology and data science to capitalize on market opportunities. They are seeking a Quantitative Software Engineer to develop innovative solutions and collaborate with research partners to enhance their quantitative systems and tooling.
Responsibilities
- Become an authority for the systems underpinning our research areas (ML, Finance, and/or quantitative algorithms) and help evolve these components
- Work closely with our research partners to conceptualize and iterate within new areas of research and development
- Model development: prototyping, testing, and implementing models utilized across Two Sigma
- Quantitative systems: designing new architectures and/or developing systems that power research and trading activities at Two Sigma
- Quantitative tooling: developing and scaling the tools, frameworks, and libraries that are used by our teams to conduct research and build models - improving performance optimization and scalability of these capabilities
Skills
- BS in Computer Science, Applied Mathematics, or related technical field
- Minimum 1 year of experience required; 3-10 years of experience preferred
- Professional experience building quantitative software across at least one of the following areas: quantitative finance, math/stats/numeric methods, and machine learning/deep learning
- Experience applying technologies and libraries such as NumPy, SciPy, or scikit-learn
- Experience with scientific computing and algorithm development
- Knowledge of scripting languages such as Python
- A background in building large-scale, real-time, and distributed applications is desired
Qualifications
Must Haves
- BS in Computer Science, Applied Mathematics, or related technical field
- Minimum 1 year of experience required; 3-10 years of experience preferred
- Professional experience building quantitative software across at least one of the following areas: quantitative finance, math/stats/numeric methods, and machine learning/deep learning
- Experience applying technologies and libraries such as NumPy, SciPy, or scikit-learn
- Experience with scientific computing and algorithm development
- Knowledge of scripting languages such as Python
Nice to Haves
- A background in building large-scale, real-time, and distributed applications is desired
Benefits
- Fully paid medical and dental insurance premiums for employees and dependents
- Competitive 401k match
- Employer-paid life & disability insurance
- Onsite gyms with laundry service
- Wellness activities
- Casual dress
- Snacks
- Game rooms
- Tuition reimbursement
- Conference and training sponsorship
- Generous vacation and unlimited sick days
- Competitive paid caregiver leaves
- Flexible in-office days with budget for home office setup
More jobs like this