Quantitative Software Architect: Quantitative Components

• Understand the business purpose of our systems. Use that understanding to prioritize technical work and resolve tradeoffs
• Drive innovation, standard methodologies, and architectural framework within the team
• Encourage consensus to achieve high-level goals
• Identify technical risks and architectural opportunities, develop a technical strategy to address them, and act as technical director for implementation of that strategy. Provide recommendations to balance immediate business goals with strategic architectural goals
• Become a technical expert for the systems underpinning our research areas and help evolve these components
• Mentor senior engineers

• Minimum 7 years of experience required in software engineering, with experience in financial or quantitative software; 10+ years of experience preferred
• BS in Computer Science, Applied Mathematics, or another technical/quantitative field
• Knowledge of both modern quantitative and data science technologies, especially in the python ecosystem, and OO programming languages and paradigms (Java preferred)
• Financial domain knowledge, especially in portfolio-related topics such as portfolio construction, risk and market impact, is preferred
• Strong relationship and communication skills, both verbally and in writing. Empathy for management and product considerations

• 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

The 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.

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. 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.