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Software Engineer - Risk Technology

IMC Trading · Chicago, IL · Development (Group)

Posted Sep 30, 2026 · We last checked this listing on Oct 6, 2026

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Likely interview questions for this role

Written from this job description, not a generic list. Each one notes what the interviewer is really checking.

About your past

Tell me about a dashboard you built that people actually used every day. What made it stick?

What they are checking: Whether they design for the user's real decisions instead of just displaying data.

You have a lot of autonomy here. Tell me about a time you spotted a problem nobody asked you to fix and fixed it.

What they are checking: Self-direction and judgment about which opportunities are worth pursuing.

Tell me about working with a teammate in another time zone on a shared system.

What they are checking: Communication habits for a global risk development organization.

What would you do

The risk numbers on your dashboard look wrong during a volatile day. How do you handle it?

What they are checking: Urgency, clear communication and a careful debug process when wrong numbers could drive bad decisions.

A Risk Manager wants a feature tomorrow, but doing it right takes a week. What do you do?

What they are checking: Balancing speed with correctness and being honest about tradeoffs with stakeholders.

About the work

A Risk Manager asks for a tool to see how the firm's portfolio would look if equities fell 20 percent overnight. How would you build it?

What they are checking: Whether they can turn a stress scenario request into data flows, calculations and a usable view.

How would you design a data pipeline that pulls positions from trading systems around the world and keeps them consistent?

What they are checking: Thinking about time zones, late data, reconciliation and correctness, which risk numbers depend on.

What's the difference between market risk, credit risk and liquidity risk, in plain terms?

What they are checking: Enough financial understanding to talk with Risk Managers and build the right tools.

How do you make a query over billions of rows of exposure history fast enough for interactive use?

What they are checking: Practical knowledge of storage formats, aggregation and caching for large analytical datasets.

How do you test code whose output is a risk number nobody can check by hand?

What they are checking: Approaches like known-answer cases, invariants and reconciliation against independent sources.

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The full job description

As published by IMC Trading.

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 USD About 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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