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Financial Services, Proprietary Trading, FinTech

Software Engineer – BP&A

Chicago, ILOnsiteFull Time$130,000–$180,000 /yrPosted 1 month agoVisa sponsorship available

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Required skills

  • Python
  • SQL
  • CI/CD
  • Kubernetes
  • Docker
  • AWS
  • Agentic Coding Tools
  • Claude Code
  • Codex
  • Cursor

Nice to have

  • React
  • AI/ML Engineering
  • Finance Processes
  • UI/UX
  • Dashboards
  • Data Pipelines

Role summary

IMC Trading is seeking a Software Engineer for their BP&A team, focusing on back-end development to build and maintain tools and systems that support finance, trading, and operations. The role involves owning system development, process improvement, automation, and working with large datasets and data pipelines. Responsibilities include collaborating with BI developers and finance teams, building efficiency-boosting tools, and creating global dashboards. The ideal candidate has 2-5 years of software engineering experience with strong Python and SQL skills, experience in CI/CD, containerized environments, and cloud platforms. Exposure to finance processes or AI/ML engineering is a plus.

The BP&A Team sits at the heart of our operations, partnering closely with finance, trading, and middle office teams. We serve as the business intelligence and analysis function for IMC to turn complex data into insights that drive real decisions. This role also connects you with colleagues across Chicago, Amsterdam, and Sydney, all part of a truly global team reporting into a Global Lead. We're looking for a Software Engineer who loves back-end development and wants to help build the tools and systems that power our business - front-end or UI/UX experience is a bonus.

Your Core Responsibilities:

  • Own meaningful pieces of system development, maintenance, process improvement, and automation, plus dig into database and front-end work along the way
  • Team up with BI developers to shape best practices, and partner directly with finance, operations, and trading teams to keep the BP&A ecosystem running smoothly, reporting to the local lead
  • Build tools that make things faster and smarter - boosting efficiency, streamlining data processing, and cutting load times
  • Build high-end dashboards and visualization tools for stakeholders globally
  • Work with large data sets and data pipelines that support storage, retrieval, and analysis across the finance organization

    • Your Skills and Experience:

  • Degree in Computer Science, Mathematics, Statistics, Econometrics, or another quantitative field
  • 2–5 years software engineering experience, ready to make an immediate impact
  • Strong Python and SQL skills; React experience is a plus
  • Hands-on experience with agentic coding tools (e.g. Claude Code, Codex, Cursor)
  • Comfortable with CI/CD pipelines (e.g. GitLab CI, Jira)
  • Experience working in containerized environments (e.g. Kubernetes, Docker)
  • Cloud experience required - AWS a plus
  • Exposure to finance processes or AI/ML engineering a plus
  • The ideal candidate thrives in a dynamic, fast-moving environment and enjoys the challenge of things changing quickly; they also blend technical depth with business savvy, have sharp analytical instincts and the interpersonal skills to bring people along with them

    • Please note that immigration sponsorship is not offered for this specific opening.

    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$130,000—$180,000 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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