Develop and maintain software, analysis tools, and trading-platform capabilities that help quantitative researchers explore and implement trading strategies. Partner with researchers and traders to analyze data and performance, support new markets and asset classes, and improve productivity, risk reduction, and trading operations. The role requires strong software engineering fundamentals and programming experience in Python, Java, C, or C++.
Position Summary
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.
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:
You should posses the following qualifications:
You will enjoy the following benefits:
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.
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.
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.
Similar Jobs at Two Sigma
Fintech • Software • Financial Services
Design, develop, and maintain simulation orchestration, quantitative research, financial analytics, and experiment management software. Build scalable distributed systems, testing frameworks, visualization tools, and performance-monitoring solutions. Modernize software infrastructure supporting data-driven trading decisions, debug complex systems, analyze bottlenecks, and improve accuracy, computational performance, reliability, and cost efficiency.
Top Skills:
JavaLinux/UnixPythonRelational DatabasesSQL
Fintech • Software • Financial Services
Monitor systematic trading strategies and identify portfolio and operational risks. Investigate anomalies, coordinate root-cause resolution with trading, modeling, and engineering teams, and perform statistical analysis of strategy behavior. Build Python-based analytical tools, dashboards, alerts, automated workflows, and reporting systems. Maintain data profiling platforms, test code, troubleshoot Linux-based processes, document risk procedures, and communicate findings to investment and investor-facing stakeholders.
Top Skills:
LinuxNumpyPandasPython
Fintech • Software • Financial Services
Develop and evaluate quantitative equity investment models and trading signals using statistical and machine learning techniques. Engineer features from large financial datasets, conduct empirical and cross-sectional research, and build scalable Python research pipelines using distributed computing and cloud infrastructure. Evaluate signal quality and portfolio performance through backtesting, risk analysis, attribution, and transaction-cost modeling. Collaborate with portfolio managers, domain experts, and engineers to implement investment ideas in production systems.
Top Skills:
Cloud ComputingDistributed ComputingMachine LearningPythonVersion Control
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
