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. Quantitative Engineers can have a diverse mandate including:
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
Requirements
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
While we analyze the data-rich domain of finance, financial experience is not a requirement
Additional Instructions
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. Quantitative Engineers can have a diverse mandate including:
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
Perks and Benefits
Core Benefits: Fully paid medical and dental insurance premiums for employees and dependents, competitive 401k match, employer-paid life & disability insurance
Perks: Onsite gyms with laundry service, wellness activities, casual dress, snacks, game rooms
Learning: Tuition reimbursement, conference and training sponsorship
Time Off: Generous vacation and unlimited sick days, competitive paid caregiver leaves
Hybrid Work Policy: Flexible in-office days with budget for home office setup
