Having the best technology drives our business. As a Software Engineer at IMC, you will drive the development of our cutting-edge trading algorithms. You will be responsible for spotting new opportunities, solving problems and developing innovative technologies. Software development here is innovative, pragmatic and fun, even as complexity grows.
Your Core Responsibilities: - Build and maintain our trading platform and software stack
- Bring our trading strategies and technology platform to the next level
- Collaborate with Traders, Quant Researchers and other Engineers both locally and globally
- Develop expertise within the entire software development lifecycle
- Learn new technologies and programming languages in a dynamic environment
Your Skills and Experience: - 1-3 years of full-time professional work experience post-graduation
- BA/BSc/MA/MSc in Engineering, Computer Science or related degree
- Must have strong knowledge of algorithms and data structures
- Proficiency in a programming language is required (Java or C++ preferred)
- Strong analytical skills and interest in solving complex problems programmatically
- Desire to interact and work closely with non-engineers in a dynamic environment
- Interest in the financial markets; previous knowledge is NOT required
The Base Salary range for the role is included below. Base salary is only one component of total compensation; all full-time, permanent positions are eligible for a discretionary bonus and benefits, including paid leave and insurance. Please visit Benefits - US | IMC Trading for more comprehensive information.
Base Salary: $200,000
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About UsIMC is a research-driven trading firm where quantitative modeling, machine learning, and engineering shape how modern markets are traded. A stabilizing force in markets since 1989, we provide liquidity across trading venues, delivering the best outcome in value and risk management to investors. Using our own technology and capital, we build proprietary systems and algorithms that operate across global markets. Our researchers, traders, and engineers work as a collective, combining rapid experimentation, advanced infrastructure, and real-time feedback to turn insight into execution and execution into advantage.
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