Two Sigma Logo

Two Sigma

Quantitative Systematic Risk Associate

Posted 2 Hours Ago
Be an Early Applicant
Hybrid
New York, NY, USA
165K-275K Annually
Junior
Hybrid
New York, NY, USA
165K-275K Annually
Junior
Monitor systematic trading strategies, identify portfolio and investor risks, and escalate issues to trading, portfolio management, engineering, and modeling teams. Develop automated alerts, reporting, and quantitative analysis tools; investigate root causes; analyze strategy behavior and risk; document and improve operational risk processes; and collaborate on initiatives across diverse partner teams.
The summary above was generated by AI
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.
We are looking for a strong problem solver with solid math and technical skills and a self-starter attitude to join Risk Management. In this high-tempo role, you will be tasked with managing and improving an array of operational processes for our Systematic Trading Strategies, with daily opportunities to add measurable impact. Responsibilities will include developing new tools and automation, performing data analysis tasks, leading root-cause investigations, creating insightful reports, and writing clear and helpful documentation.
You will take on the following responsibilities:
  • Develop a deep understanding of Two Sigma's systematic modeling and trading platforms and the global markets they operate in
  • Monitor daily trading strategy behavior and proactively identify issues that may present risks to Two Sigma's investors and portfolios. A successful candidate will join the team's Risk Support Rotation which is responsible for escalating issues in real-time to Two Sigma's trading businesses, portfolio managers, and engineering and modeling partners
  • Develop and maintain alerts, tools, and automated reporting for the Risk department and its partners
  • Build tools for quantitative strategy analysis and use these tools to prepare, review, and present reporting on systematic strategy behavior and risk
  • Improve our businesses by collaborating regularly on initiatives with partners including modelers, portfolio managers, traders, and investor-facing teams and proactively analyzing data
  • Document, perform, and improve operational Risk processes, with an eye towards automation

You should possess the following qualifications:
  • Minimum 1 year of experience required; preferred 3 - 10 years of experience in an analytical role
  • At a minimum, BA/BS in computer science, applied mathematics, or another technical discipline
  • Experience using programming to solve hard problems, preferably using Python
  • Strong data analysis skills, preferably in Pandas
  • Knowledge of or curiosity about Risk Management, Operational Excellence, Finance, and Markets
  • Strong Communicator, preferably with experience in documentation and process design
  • Demonstrated ability to think and work independently and with diverse partner teams, comfortable with regular context switching, managing open project scopes and open questions
  • Observant, High Attention to Detail, Gets Results

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 $275,000. 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.
HQ

Two Sigma New York, New York, USA Office

100 Ave of the Americas, New York, New York, United States, 10013 1689

Similar Jobs at Two Sigma

2 Hours Ago
Hybrid
New York, NY, USA
125K-200K Annually
Senior level
125K-200K Annually
Senior level
Fintech • Software • Financial Services
Provides middle-office operational support for trading desks, including trade-break resolution, reconciliations, corporate actions, locates, buy-ins, risk controls, and operational data integrity. Coordinates cross-functional projects, supports new strategies, and improves tools, workflows, dashboards, and controls. Requires broad understanding of the trade lifecycle across equities, futures, and options, strong analytical and communication skills, and experience with Excel and Bloomberg.
Top Skills: AlteryxBloombergExcelLarge Language Models (Llms)PythonSQLTableau
2 Hours Ago
Hybrid
New York, NY, USA
165K-300K Annually
Senior level
165K-300K Annually
Senior level
Fintech • Software • Financial Services
Build and scale production-grade AI/ML systems for quantitative research. Responsibilities include translating research prototypes into maintainable software, optimizing GPU training and inference pipelines, designing data-loading and batching infrastructure, extending research libraries for agentic workflows, and improving codebase quality, testing, and scalability. The role partners closely with machine learning researchers and requires strong Python engineering, GPU systems experience, and familiarity with modern ML frameworks and agent technologies.
Top Skills: Agent FrameworksAi Coding ToolsCi/CdCudaGpuHugging FacePythonPyTorchRlhfRlvrTensorFlowTesting FrameworksVersion Control
2 Hours Ago
Hybrid
New York, NY, USA
6K-6K Annually
Internship
6K-6K Annually
Internship
Fintech • Software • Financial Services
Conduct quantitative research using the scientific method to develop investment models, analyze large datasets with machine learning, test investment ideas, and collaborate with engineers. The 10-week summer internship includes mentorship, academic engagement, a dedicated project, and a final presentation. Candidates should have quantitative technical training, programming experience, real-world research experience, strong analytical thinking, and clear communication skills.
Top Skills: Artificial IntelligenceCC++Data ScienceJavaMachine LearningPython

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account