Similar Jobs at IMC Trading
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Fintech • Machine Learning • Software • Financial Services
Performance Engineer Interns conduct quantitative research on exchange and network technologies, design optimization strategies for electronic trading, develop AI agents, ETL pipelines, and Python algorithms, and reverse-engineer and stress-test low-latency systems. They collaborate with traders and hardware and software engineers to improve liquidity-taking, quoting, and ultra-low-latency trading strategies.
Top Skills:
Etl PipelinesMachine LearningNetwork ProgrammingPythonStatistical ModelingSystems Programming
Fintech • Machine Learning • Software • Financial Services
Conduct quantitative research on exchange technology and large datasets, design strategies for ultra-low-latency trading, and develop AI agents, ETL pipelines, and Python algorithms. Reverse-engineer and stress-test network and systems technologies, collaborating with traders and hardware and software engineers to optimize liquidity-taking and quoting strategies.
Top Skills:
Artificial IntelligenceETLMachine LearningNetwork TechnologyPythonQuantitative ResearchStatistical ModelingSystems Programming
Fintech • Machine Learning • Software • Financial Services
The Quantitative Developer will develop systems from research to production, build simulation infrastructure, manage feature pipelines, and troubleshoot issues in quantitative trading environments.
Top Skills:
PandasPolarsPython
Polar Operations LLC (dba IMC Markets) has multiple openings for Python Software Engineer (REQ#4461661101) in Chicago, IL and Brooklyn, NY.
Your Core Responsibilities
Partial telecommuting permitted. Multiple positions available. Requisition #: 4461661101
Your Skills and Experience
This position requires a Bachelor's degree, or foreign equivalent, in Computer science, Computer Engineering, or a similarly quantitative and technical field and one (1) year of experience in the job offered or a related occupation.
Must have at least one (1) year of experience in each of the following skill(s):
#LI-DNI
Your Core Responsibilities
- Implement software features and components for IMC's trading systems (25%).
- Design software solutions independently and make architectural decisions (10%).
- Debug and fix software issues in trading systems (5%).
- Identify complex multi-component issues, perform root cause analysis, and implement preventative solutions (5%).
- Ensure code quality and system reliability through comprehensive automated testing (10%).
- Contribute to the automated testing framework, own critical trading system components, and ensure reliability, performance, and scalability across regions (5%).
- Participate in code reviews (10%).
- Monitor system performance and trading operations (5%).
- Collaborate with traders and other teams to understand requirements and deliver solutions (10%).
- Participate in planning, estimate complexity of tasks, and help balance technical debt with feature development (5%).
- Mentor and guide junior developers and interns, helping them understand IMC's systems and development practices (10%).
Partial telecommuting permitted. Multiple positions available. Requisition #: 4461661101
Your Skills and Experience
This position requires a Bachelor's degree, or foreign equivalent, in Computer science, Computer Engineering, or a similarly quantitative and technical field and one (1) year of experience in the job offered or a related occupation.
Must have at least one (1) year of experience in each of the following skill(s):
- Applying analytical and engineering techniques to solve complex problems programmatically;
- Programming with Python;
- Developing and implementing algorithms and data structures;
- Software development lifecycle and best practices;
- Designing and developing software applications in a collaborative, cross-functional environment;
- Experience with DevOps, databases, big data, or frontend frameworks;
- Experience with Docker, Kubernetes, and Linux environments;
- Experience working with financial data;
- Foundational knowledge of quantitative trading concepts and equity/index options;
- Exposure to web/API frameworks such as FastAPI and React;
- Experience with automated testing and CI/CD pipelines;
- Experience collaborating with trading desks and developing software for use in a quantitative trading environment;
- Experience with the following tools: Team City, JIRA ticket management, Gerrit code review tool, GitLab, uv, Gitlab CI, py-spy, memray, and Python Packaging; and
- Experience with the following libraries: Pandas, Polars, NumPy, Tensorflow, Scikit, scikit-learn, cvxpy, and Pytest.
#LI-DNI
IMC Trading New York, New York, USA Office
IMC Trading New York City Office
New York, New York, United States, 10017
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
