Software Engineer - Risk Technology
At a glance
Mid-level Software Engineering role at IMC. Chicago · $175,000–$225,000 base.
techroles summary, based on the employer's posting.
What you'll do
- Build tools that show Risk Managers portfolio exposures, stress scenarios, capital use and emerging risks
- Create dashboards and visualizations for stakeholders around the world
- Develop data pipelines that store, retrieve and analyze large risk datasets
- Turn Risk Managers’ ideas into production systems, coordinating with global risk developers and other teams
- Take projects from initial concept through deployment, improving existing platforms or creating new tools
What you bring
- At least three years of professional software engineering experience
- Strong ability to develop in Java, Python or both
- Experience building and supporting systems used in production
Who this fits
This role suits a software engineer interested in financial markets, risk, data science and quantitative analysis, with the initiative to own projects. You’ll work with Risk Managers and teams across engineering, trading, research, operations and data. The position is based in Chicago.
From the employer
We are seeking a Software Engineer to help build the technology and analytical frameworks used to understand, measure, and optimize risk across the firm's trading businesses.
Working directly with Risk Managers and software engineers globally, you will develop systems that help the firm analyze exposures, scenarios, capital, liquidity, and other risk factors across all asset classes. You will have significant autonomy to improve existing platforms, build new tools, and pursue opportunities that make the risk organization more effective.
This role is ideal for someone who enjoys combining software engineering, data science, and financial markets to solve complex, high-impact problems.
Your Core Responsibilities:
- Design and build analytical tools that help Risk Managers understand portfolio exposures, stress scenarios, capital usage, and emerging risks
- Build high-end dashboards and visualization tools for stakeholders globally.
- Work with large data sets, data pipelines that support storage, retrieval, and analysis across the risk organization.
- Partner directly with Risk Managers to identify opportunities and rapidly translate ideas into production systems while collaborating within the firm's global risk development organization.
- Collaborate with engineering, trading, quantitative research, operations, and data teams across the firm
- Take ownership of projects from concept through production deployment
Your Skills and Experience:
- 3–5+ years of professional software engineering experience
- Strong development skills in Java and/or Python
- Experience building and supporting production systems
- Interest in financial markets, risk management, data science, and quantitative analysis
- Strong analytical and problem-solving skills
- Self-starter with a high degree of ownership and initiative
- Distributed systems and service-oriented architectures
- Kubernetes and containerized applications
- React and modern web development
- PostgreSQL, ClickHouse, and analytical databases
- Parquet, Hadoop, and large-scale data platforms
- Data pipelines, ETL frameworks, and APIs
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.
Salary Range$175,000—$225,000 USDAbout Us
IMC 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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