Risk Analytics Software Engineer

IMC B.V.

Chicago (IL)

On-site

USD 175,000 - 225,000

Full time

14 days+

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Benefits offered by this job

Discretionary bonus
Benefits including paid leave and保险

Job summary

IMC B.V. is 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.

You will work with Risk Managers and software engineers globally to develop systems that analyze exposures, scenarios, capital, liquidity, and other risk factors across asset classes. The role combines software engineering, data science, and financial markets to solve high-impact problems.

Qualifications

  • 3–5+ years of professional software engineering experience.
  • Strong development skills in Java and/or Python.
  • Interest in financial markets, risk management, data science, and quantitative analysis.

Responsibilities

  • Design and build analytical tools to 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 supporting storage, retrieval, and analysis across the risk organization.
  • Partner with Risk Managers to translate ideas into production systems within the 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.

Skills

Java
Python
Software engineering
Data analysis
Ownership

Tools

Kubernetes
React
PostgreSQL
ClickHouse
Parquet
Hadoop
ETL frameworks
APIs

Job description

IMC B.V. is 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.

You will work with Risk Managers and software engineers globally to develop systems that analyze exposures, scenarios, capital, liquidity, and other risk factors across asset classes. The role combines software engineering, data science, and financial markets to solve high-impact problems.

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