Jobs at IMC Trading

Develop and automate verification solutions for complex hardware systems. Collaborate with RTL and software teams, create system- and block-level testbenches, use UVM and EDA tools, automate regression testing, and track coverage metrics through verification closure in a Linux environment.

Provides in-house corporate legal support for an international proprietary trading organization. Responsibilities include advising on corporate law, entity structures, intracompany transactions, tax matters, and organizational actions; drafting and negotiating agreements; preparing legal memoranda; and supporting contracts, regulatory safeguards, and cross-functional business objectives.

Chief of Staff serving as a strategic and operational partner to trading leadership. Coordinates cross-functional initiatives, manages milestones and stakeholders, supports budgeting, vendor oversight, staffing, strategic planning, communications, and process improvement. Performs daily PnL reconciliation checks and escalates discrepancies. The role requires strong analytical, financial, organizational, communication, and stakeholder-management skills, with an in-office presence in Chicago four days per week.

Conduct research on low-latency machine learning inference and hardware acceleration. Architect and implement an ML research project, collaborate with hardware engineers, evaluate neural architecture search and quantization methods, and deploy solutions on FPGAs or custom ASICs. Present findings and deliver a prototype or benchmark while assessing performance, engineering costs, and industry impact.

Own global strategic sourcing for storage infrastructure and SaaS categories, including vendor strategy, renewals, license optimization, consolidation, negotiations, consumption-based spend governance, and supplier relationships. Partner with engineering, infrastructure, security, and finance teams on storage and software investments. Lead vendor evaluations, monitor market trends, mitigate risk, and coach sourcing teams.

Own global hardware sourcing strategy across GPUs, servers, networking, storage, and enterprise equipment. Manage executive relationships with strategic vendors representing $300M-$500M+ in annual spend, negotiate complex supply agreements, secure constrained GPU and component allocations, optimize costs and total cost of ownership, and mitigate supply-chain risks. Partner with engineering, finance, and capacity planning leaders on infrastructure roadmaps and investment decisions while coaching sourcing teams globally.

Conduct quantitative research to design, implement, and deploy mathematical trading models. Build custom tools for exploratory analysis, apply rigorous quantitative techniques to solve complex problems, and collaborate with traders and developers to productionize models while maintaining best practices.

Develop and maintain backend systems, automation, databases, data pipelines, dashboards, and visualization tools supporting finance, trading, and operations teams. Improve processing efficiency, system performance, and data accessibility across a global business intelligence environment. Collaborate with BI developers and business stakeholders while working with large datasets. The role requires Python, SQL, cloud, containerization, CI/CD, and agentic coding tool experience.

Interest form for students who want to learn more about the 2027 US Chess Academy. Applicants join a prospect list and may receive information about upcoming opportunities, program updates, and how to play.

Build, operate, and scale large-scale data storage platforms (Hadoop, S3-compatible, enterprise storage). Tune Linux for I/O performance, automate deployments with Ansible/Puppet, implement observability with Prometheus, and partner with engineers on storage- and Kafka-focused data solutions. Familiarity with Kubernetes and development in Java/Python required.

Recruiter responsible for full-cycle hiring across technology and business operations. Partners with hiring managers, develops sourcing strategies, builds talent pipelines, assesses candidates, manages recruitment agencies, delivers strong candidate experiences, and improves recruiting processes using data and market insights.

Performance Engineer Interns conduct quantitative research on exchange and network technologies, design optimization strategies for electronic trading, develop AI agents, ETL pipelines, and Python algorithms, and reverse-engineer and stress-test low-latency systems. They collaborate with traders and hardware and software engineers to improve liquidity-taking, quoting, and ultra-low-latency trading strategies.

Conduct quantitative research on exchange technology and large datasets, design strategies for ultra-low-latency trading, and develop AI agents, ETL pipelines, and Python algorithms. Reverse-engineer and stress-test network and systems technologies, collaborating with traders and hardware and software engineers to optimize liquidity-taking and quoting strategies.

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The Quantitative Developer will develop systems from research to production, build simulation infrastructure, manage feature pipelines, and troubleshoot issues in quantitative trading environments.

As a Software Engineer, you will build AI systems to enhance developer workflows, implementing agents and servers, and ensuring code reliability through evaluation pipelines.

Design, build, and operate big-data and streaming platforms (Kafka, Hadoop, Dremio). Develop, deploy, and monitor data pipelines using Java, Python, Spark/Flink; collaborate on data modeling and ingestion, ensure data integrity and availability, act as a Big Data SME, and perform root-cause analysis.

Design and verify next-generation ASICs for latency-sensitive trading systems. Responsibilities include RTL development in SystemVerilog, verification and testing, debugging, integration, tooling and automation, and cross-team collaboration to meet performance and reliability goals.

Lead end-to-end IT audits globally to assess design and operating effectiveness of internal controls across technical platforms. Provide actionable recommendations, drive change, write clear reports, build relationships, and travel internationally (~25%).

Design, implement, and deploy ML inference engines on custom FPGA/ASIC hardware. Perform HW/SW co-design with traders and researchers, optimize neural networks for low latency, and build quantization/compression tools to translate ML frameworks to RTL for rapid production deployment.