Quantitative Software Engineer: Quantitative Components

Position SummaryTwo 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.In Quantitative Components, we own the systems that drive Two Sigma’s ability to make reliably profitable portfolios in a world of uncertainty. Our team builds the core components at the heart of Two Sigma’s forecasting, simulation and optimization. These systems are critical for the success of Two Sigma and touch all parts of the research, modeling, and trading environments. Engineers working on Quantitative Components will be directly responsible to our core business and are expected to understand, build, iterate, and expand on the research done by our world class research groups. Our engineers engage with research topics and cover new domains quickly; build deep expertise with Two Sigma data and tools; apply high standards to the code and develop an ability to identify highly impactful projects in a complex and mission critical domain.The ideal candidate is someone with a strong engineering and quantitative background - we work at the intersection of engineering and quantitative research.You Will Take On The Following ResponsibilitiesWork closely with our research partners to ideate and iterate within new areas of research. Engineers prototype implementations, craft new architectures and productionalize research insightsPerform quantitative analysis to characterize and understand the quantitative impact of their work on Two Sigma’s trading models to drive discussions with researchers, engineers and business leadersBecome a technical expert for the systems underpinning these research areas and help evolve these componentsDevelop a deep understanding in multiple research domainsYou Should Possess The Following QualificationsMinimum 1 year of experience required; 5-10 years of experience preferred in software engineering and quantitative analysisBS in Computer Science, Applied Mathematics, or another technical/quantitative fieldKnowledge of statistical methods, mathematical optimization (convex), numerical methods, computing performance optimization and finance and market structures are beneficialExcellent communication skillsYou Will Enjoy The Following BenefitsCore Benefits: Fully paid medical and dental insurance premiums for employees and dependents, competitive 401k match, employer-paid life & disability insurancePerks: Onsite gyms with laundry service, wellness activities, casual dress, snacks, game roomsLearning: Tuition reimbursement, conference and training sponsorshipTime Off: Generous vacation and unlimited sick days, competitive paid caregiver leavesHybrid Work Policy: Flexible in-office days with budget for home office setupThe base pay for this role will be between $165,000 and $300,000. This role may also be eligible for other forms of compensation and benefits, such as a discretionary bonus, health, dental and other wellness plans and 401(k) contributions. Discretionary bonus can be a significant portion of total compensation. Actual compensation for successful candidates will be carefully determined based on a number of factors, including their skills, qualifications and experience.We are proud to be an equal opportunity workplace. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity/expression, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristics.Two Sigma is committed to providing reasonable accommodations to qualified individuals in accordance with applicable federal, state, and local laws.If you believe you need an accommodation, please visit our website for additional information.