Job Specifications
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, 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.
As a Software Engineer in our Modeling Engineering group, you will play a meaningful role in improving the efficiency of our modelers. Your expertise will allow Two Sigma quantitative researchers to rapidly explore and implement innovative trading strategies across global financial markets. 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 complex and critical field.
You Will Take On The Following Responsibilities
Partner with quantitative researchers and traders to discover and monetize the hidden value of data through data science and software engineering
Build and maintain a suite of analysis tools that enable their quantitative research
Develop and extend our trading platform to support new markets and asset classes, ensuring seamless integration and operation.
Analyze trading performance to inform strategic improvements and decision-making.
Build technologies that bolster our trading businesses and drive productivity enhancements, teamwork, and risk reduction across the company.
You Should Posses The Following Qualifications
Minimum 1 year of experience required; 2-5 years of experience in cutting-edge software engineering preferred
BS or MS degree in Computer Science, Engineering, or a related field.
An understanding of data structures and algorithms
Experience with Python, Java, C or C++
Strong understanding of distributed systems, networking, and market microstructure knowledge is highly preferred.
Experience in trading or finance 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. 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.
About the Company
Two Sigma is a financial sciences company that combines advanced technology and data science with rigorous human inquiry to solve the toughest challenges in finance. Two Sigma aims to generate alpha for its clients and deliver differentiated solutions in investment management, securities, private equity, real estate, venture capital, portfolio analytics, and insurance. Founded in 2001 by David Siegel and John Overdeck, Two Sigma employs over ~1,700 curious minds, and is headquartered in New York with offices around the globe...
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