Equity Options Quantitative Researcher

Job Description

Two Sigma is a financial sciences company, combining data analysis, invention, and rigorous inquiry to help solve the toughest challenges in investment management, insurance technology, securities, private equity and venture capital. . Since 2001, we have used data science and technology to derive insights that forecast the future and discover value in markets worldwide. When you work with us, you tackle tough problems alongside other scientists and engineers. People who will challenge your ideas. Who you can really learn from, and collaborate with. And you’ll be doing work that matters to a lot of people, too. Our team of scientists, technologists and academics looks beyond traditional finance to understand the bigger picture and develop creative solutions to some of the world’s most challenging economic problems. Two Sigma Securities bring a scientific approach to systematic trading and risk management to make markets more efficient. Our focus is on providing liquidity through our systematic trading strategies across asset classes, which we offer through our three core business activities: equity market making, options market making and client trading. Our options market making business leverages our high-performance proprietary options platform alongside sophisticated forecast research to make markets on all US options exchanges. As an equity options quantitative researcher focused on volatility fitting and pricing you will be involved in applying sophisticated statistical and quantitative methods to generate robust option theoretical prices, Greeks and implied volatilities for US equity options. You will take on the following responsibilities:

• Improve real-time volatility fitting and options pricing
• Collaborate with other quantitative researchers and traders to optimize existing volatility fitting and pricing models
• Apply sophisticated statistical methods for volatility surface fitting and modeling
• Contribute from idea generation to production implementation of new volatility fitting models
• Evaluate predictive power of option theoretical prices and implied volatilities
• Work closely with engineers to improve the simulation environment for repricing options and volatility fitting replay
• Mentor junior quantitative researchers

You should possess the following qualifications:

• 3+ years of experience in a quantitative research role with a focus on options pricing, volatility surfaces and risk management
  
• Advanced degree (MS, PhD or equivalent) in a technical or quantitative discipline like Mathematics, Physics, Statistics, Finance, Engineering or Computer Science
  
• Expertise in detailed implementation of numerical pricing for American options
  
• Deep understanding of practical considerations on robust volatility fitting and options pricing for options market making business decisions
  
• Experience in equity derivatives including electronic option trading and strong knowledge and practice of options pricing models
  
• Passion, interest and drive to take a leading role in a growing options market making business
  
• Ability to independently and creatively approach data analysis
  
• Strong verbal and written communication skills and a collaborative working style
  
• Experience in analyzing large (such as high frequency market data) and multi-faceted data sets using a modeling language like Python
  
• Experience in writing production code and familiarity with software engineering workflows and systems
• Relevant programming experience, preferably in C++

You will enjoy the following 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

The base pay for this role will be between $165,000 and $325,000. 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.