Proprietary Trading
Software Engineer, Trading Engineering
at Two Sigma
ExperiencedNo visa sponsorship
Posted 7 days ago
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This role involves building and optimizing trading platforms for simulation and live markets, focusing on high-performance programming and algorithmic trading. You will work with quantitative models and analyze system performance to enhance trading capabilities, requiring experience in systems-level development, C/C++/Rust, and quantitative environments. Benefits include competitive salary, comprehensive benefits, and flexible work arrangements.
- Compensation
- $165,000 – $250,000 USD
- City
- New York
- Country
- Not specified
Currency: $ (USD)
Full 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, 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.
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.
You will be joining a team responsible for ensuring the firm has access to robust, highly performant means of trading as well as working with our modeling teams to optimize our trading systems. In this role, you will use your knowledge of market structure and high performance programming techniques to improve our platform and capabilities. You'll quickly engage with new research areas, deepen your expertise with Two Sigma data and tools, maintain high coding standards, and identify impactful projects in a multifaceted and critical field! If this sounds like an exciting role, we encourage you to apply today!
You will take on the following responsibilities:
- Build platforms for simulation and live trading of different financial markets, instruments, and trading algorithms.
- Extend trading platforms to cover new markets and new asset classes, accounting for the financial details of those securities; review software code for errors and improvements.
- Analyze performance of software and other quantitative measures to inform decision making regarding the design and improvements of the trading systems.
- Design, engineer, and implement various financial trading and measurement software applications.
- Provide software support to traders implementing their portfolio orders.
You should possess the following qualifications:
- Minimum 1 year of experience required; 2–6 years of experience preferred in systems-level development.
- BS or MS degree in Computer Science, Engineering, or a related field.
- Experience with C, C++, or Rust is required.
- A high-level understanding of data structures and algorithms.
- Experience in deploying and optimizing quantitative models in production environments is a strong plus.
- Experience in large-scale systems is desirable.
- Familiarity with Python is a plus.
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 $250,000. 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.
