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Position Summary
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.

Our team of scientists, technologists, and academics looks beyond the traditional to develop creative solutions to some of the world’s most complex economic problems.
Two Sigma Securities brings a scientific approach to systematic trading and risk management to make markets more efficient. Our team trades over 10,000 US equities and 4,000 listed options, leveraging our high performance trading system to execute over 850 million shares per day. Two Sigma Securities is entering an exciting growth phase. We value the insights of our colleagues and encourage them to innovate and shape their own work agenda. New joiners use our proprietary platform to work on diverse projects. From building next generation trading technologies and researching novel AI and machine learning techniques to enhancing our strategies and deploying automation, our team is pushing the frontier in systematic trading.
We are seeking an experienced quantitative trader, to be based in either Chicago or New York, to join our newly formed CME options market making team.
You will take on the following responsibilities:
  • Trade, build, operate and optimize the options trading desk and manage portfolio return and risk of the options market making strategy
  • Collaborate with quantitative researchers to develop systematic strategies for trading, pricing and risk management
  • Build analytical tools to create insights into our trading and market opportunities to generate new ideas and deliver improvement across strategies
  • Work with our Risk team to guide portfolio through market stress events
  • Analyze low-latency market microstructure data to gain insight into how our tactics interact with the market and how to improve them further
  • Drive technology adoption across our networking, market data and FPGA teams, helping to direct and prioritize development work
You should possess the following qualifications:
  • 2-4 years of experience trading US options, preferably CME options
  • A degree in an analytical or quantitative discipline such as Statistics, Mathematics, Physics, Electrical Engineering, or Computer Science
  • Excellent analytical and quantitative skills
  • Ability to program or script in Python or another language
  • Thrive in a highly dynamic and fast-paced environment
  • Display an ability to manage uncertainty and have strong decision-making skills even with sometimes incomplete information
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.

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.