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Salary
$130k – $180k per year
Location
In office (Chicago)
Seniority
Junior · 2+ years exp
Visa
No sponsorship (stated in the posting)
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 1, 2026. First seen by Alion on Sep 15, 2026. IMC Trading scores A on the Alion truth index.

Overview
Company
Impact
Profile match
IMC Trading is a proprietary trading firm and market maker headquartered in Amsterdam that trades its own capital, providing liquidity across more than 120 trading venues with in-house trading systems, low-latency infrastructure and machine learning models. Founded in 1989 by two traders on the floor of the Amsterdam equity options exchange, it now employs over 2,000 people of more than 70 nationalities in ten offices, including Chicago, New York, London, Zug, Sydney, Mumbai, Seoul and Hong Kong. It recruits quantitative researchers and traders, software, Python and systems engineers, machine learning researchers, and graduates and interns for its campus programmes.

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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