Risk Analytics Engineer – Build Trading Risk Tools

Tradermath; Chicago (IL); Hybrid; USD 175,000 - 225,000; Full time

Job summary

IMC Trading seeks a Software Engineer to design analytics tools and dashboards that help risk managers understand exposures across asset classes. You will work with risk managers and engineers globally to translate ideas into production systems, using Java or Python, and contribute to data pipelines and visualization efforts.

The role emphasizes ownership, autonomous problem solving, and collaboration with trading, research, and data teams to drive high-impact solutions across the firm.

Qualifications

• 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.
• Self-starter with ownership and initiative.

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 and data pipelines for storage, retrieval, and analysis.
• Collaborate with Risk Managers to translate ideas into production systems.
• Partner with engineering, trading, quantitative research, operations, and data teams.
• Take ownership of projects from concept through production deployment.

Skills

Java

Python

3–5+ years exp

Production systems

Analytical thinking

Tools

Kubernetes

PostgreSQL

ClickHouse

Parquet

Hadoop

ETL frameworks

APIs

Job description

IMC Trading seeks a Software Engineer to design analytics tools and dashboards that help risk managers understand exposures across asset classes. You will work with risk managers and engineers globally to translate ideas into production systems, using Java or Python, and contribute to data pipelines and visualization efforts.

The role emphasizes ownership, autonomous problem solving, and collaboration with trading, research, and data teams to drive high-impact solutions across the firm.