IMC is looking for an Accounting Manager to join the US Accounting team. The Finance team operates closely with our Trading and Technology teams to manage the liquidity required to run a high-performance organization.

Key Responsibilities

• Take ownership of the monthly close process by delivering consistent and accurate closings.
• Prepare monthly journal entries and reconciliations for multiple entities.
• Assist and back up in the accounts payable, accounts receivable, and treasury management functions.
• Analyze account fluctuations at the entity level on a monthly and ad-hoc basis.
• Identify automation opportunities within the accounting and finance functions to implement improvement initiatives and support efficiency improvements.
• Manage inter-company recharges and allocations.
• Update and maintain procedural documentation.
• Collaborate with mid-office, procurement, and financial planning and analysis teams to produce reliable and timely reporting.
• Facilitate process improvement to reduce closing cycle time.
• Document and deliver support for various regulatory and financial audits.
• Assist with annual audit and work with external audit team.
• Ensure timely, accurate completion of related special project and analysis work and other ad hoc tasks as requested by other senior members of finance.

Required Qualifications

• Bachelor’s degree in accounting or finance; CPA certification preferred
• 5+ years of experience in the financial services or technology industry
• Series 27 and experience with broker dealer regulatory reporting a plus
• Experience with Workday preferred
• High proficiency in Excel required, AI tools experience a plus
• Strong attention to detail and effective communication skills (oral and written) at all organizational levels
• Strong interpersonal, organizational, problem-solving, and timemanagement skills
• A proactive attitude and an out-of-the-box thinker who is comfortable working in a fast-paced environment

As a Senior Data Analyst, you will join our Financial Planning & Analytics (FP&A) team and partner closely with HR, Finance and Talent Acquisition stakeholders to deliver data analysis and reporting that drives people-related decisions across the organization.

This is a hands-on, technical role. You will spend most of your time building dashboards, writing code, engineering data pipelines, and translating stakeholder requirements into production-ready analytics solutions. You will also serve as a key analytical partner to HR leadership — providing actionable insights on workforce trends, talent acquisition, compensation, employee engagement, and organizational effectiveness. The ideal candidate is a strong data analyst who is equally comfortable working with HR and financial data, can operate independently, and thrives in a fast-paced environment with extensive ad-hoc reporting requirements.

Your Core Responsibilities: 

• BI Development & Data Engineering
  • Design, develop, and maintain dashboards and reports for HR, Talent Acquisition, and FP&A stakeholders using Qlik or similar BI tools (Tableau, Power BI)
  • Build and maintain Python-based ETL pipelines to extract, transform, and load data from HRIS, ATS, finance systems, and other internal sources into the analytics database
  • Own the full product delivery cycle for analytics solutions: requirements gathering, design, development, testing, and deployment to production
  • Extend and optimize the analytics database to support new data sources and evolving reporting needs
  • Ensure data quality, consistency, and reliability across all pipelines and reporting assets
  • Build and automate reporting workflows to reduce manual effort and improve scalability
• HR Reporting & Analytics
  • Develop and maintain standard HR metrics and recurring reports covering headcount, attrition, diversity & inclusion, compensation equity, and employee engagement
  • Build and support recruitment dashboards to track recruitment-funnel progress, pipeline characteristics, and time-to-fill metrics
  • Partner with HR Business Partners (HRBPs) to translate data requests into clear reports and visualizations
  • Conduct ad hoc analyses on people data to support HR and business decision-making
  • Leverage SQL and Python to query large HR datasets, perform statistical analyses, and develop predictive models (e.g., attrition risk, flight risk scoring)
• FP&A & Workforce Planning Support
  • Support FTE forecasting and headcount budgeting processes by building and maintaining models and reports in partnership with Finance and HR/Recruitment teams
  • Contribute to annual HR planning cycles, including headcount forecasting, workforce cost modeling, and scenario analysis
  • Track and manage FTE movement against budget
  • Analyze workforce trends to identify patterns and risk areas relevant to financial planning
• Stakeholder Partnership & Communication
  • Act as a trusted analytical advisor to HR and Finance to understand their needs and proactively surface findings
  • Present data, trends, and insights to both technical and non-technical audiences in clear, concise formats
  • Collaborate with other BI Developers and Engineers within BP&A to maintain shared data standards, governance practices, and documentation
  • Demonstrate curiosity in understanding business context, using that understanding to deliver solutions that balance standardization with practical requirements

Your Skills and Experience: 

• 5+ years of experience as a Data Analyst, BI Developer, Financial Analyst, or similar analytics role
• Demonstrated proficiency in Python and SQL, including writing clean, production-ready code; experience working with large datasets
• Proven experience building reporting and dashboard solutions in Qlik, Tableau, Power BI, or a comparable BI tool
• Demonstrated experience developing and maintaining ETL pipelines and data architecture
• Working knowledge of at least one HRIS platform (Workday, SAP SuccessFactors, Oracle, ADP, or equivalent)
• Excellent communication and interpersonal skills; ability to work directly with non-technical stakeholders and present findings clearly
• Self-driven and comfortable working independently in a dynamic environment with shifting priorities and heavy ad-hoc reporting needs
• Familiarity with data privacy regulations as they apply to employee and people data
• Bachelor's degree in Computer Science, Finance, Statistics, Information Systems or other quantitative field
• Exposure to FP&A processes such as headcount budgeting, FTE forecasting, or workforce cost modeling preferred
• Experience working with HR data including HRIS, ATS, compensation, and headcount data is a plus
• Familiarity with HR metrics frameworks, people analytics best practices, and DEI reporting preferred

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

Polar Operations LLC (dba IMC Markets) has multiple openings for Software Engineer- Data (REQ#4461663101) in Chicago, IL and Brooklyn, NY.

Your Core Responsibilities

• Implement software features and components for IMC's trading systems (25%).
• Design software solutions independently and make architectural decisions (10%).
• Debug and fix software issues in trading systems (5%).
• Identify complex multi-component issues, perform root cause analysis, and implement preventative solutions (5%).
• Ensure code quality and system reliability through comprehensive automated testing (10%).
• Contribute to the automated testing framework, own critical trading system components and ensure reliability, performance, and scalability across regions (5%).
• Participate in code reviews (10%).
• Monitor system performance and trading operations (5%).
• Collaborate with traders and other teams to understand requirements and deliver solutions (10%).
• Participate in planning, estimate complexity of tasks, and help balance technical debt with feature development (5%).
• Participate in planning, estimate complexity of tasks, and help balance technical debt with feature development (5%).
• Mentor and guide junior developers and interns, helping them understand IMC's systems and development practices (10%).

Partial telecommuting permitted. Multiple positions available Requisition Number: 4461663101

Your Skills and Experience

This position requires a Bachelor's degree, or foreign equivalent, in Computer science, Computer Engineering, or a similarly quantitative and technical field and one (1) year of experience in the job offered or a related occupation.

• Must have at least one (1) year of experience in each of the following skill(s):
• Applying analytical and engineering techniques to solve complex problems programmatically;
• Programming with Java, C/C++, or Python;
• Developing and implementing algorithms and data structures;
• Software development lifecycle and best practices;
• Designing and developing software applications in a collaborative, cross-functional environment;
• Experience building Kafka streaming applications and maintaining Kafka clusters;
• Experience building applications/pipelines with Big Data backends (such as S3, HDFS, Databricks, or Iceberg);
• Experience with Apache Spark or Apache Flink; (9) Experience with common data-science toolkits;
• Experience with Kubernetes and Docker;
• Experience with monitoring tools such as Prometheus/Grafana, Alert Manager, Alerta and OpsGenie; and
• Unix scripting experience (such as bash or python).

#LI-DNI

Polar Operations LLC (dba IMC Markets) has multiple openings for C++ Software Engineer (REQ#4461662101) in Chicago, IL and Brooklyn, NY.

Your Core Responsibilities

• Implement software features and components for IMC's trading systems (25%).
• Design software solutions independently and make architectural decisions (10%).
• Debug and fix software issues in trading systems (5%).
• Identify complex multi-component issues, perform root cause analysis, and implement preventative solutions (5%).
• Ensure code quality and system reliability through comprehensive automated testing (10%).
• Contribute to the automated testing framework, own critical trading system components, and ensure reliability, performance, and scalability across regions (5%).
• Participate in code reviews (10%).
• Monitor system performance and trading operations (5%).
• Collaborate with traders and other teams to understand requirements and deliver solutions (10%).
• Participate in planning, estimate complexity of tasks, and help balance technical debt with feature development (5%).
• Mentor and guide junior developers and interns, helping them understand IMC's systems and development practices (10%).

Partial telecommuting permitted. Multiple positions available Requisition Number: 4461662101

Your Skills and Experience

This position requires a Bachelor’s degree, or foreign equivalent, in Computer science, Computer Engineering, or a similarly quantitative and technical field and one (1) year of experience in the job offered or a related occupation.

Must have at least one (1) year of experience in each of the following skill(s):

• Applying analytical and engineering techniques to solve complex problems programmatically;
• Programming with modern C++ in a low-latency environment;
• Developing and implementing algorithms and data structures;
• Software development lifecycle and best practices;
• Designing and developing software applications in a collaborative, cross-functional environment;
• Experience with software development for hardware platforms;
• Experience collaborating with trading desks and developing software for use in a quantitative trading environment;
• Experience with the following tools: C++ standard library, Bazel, Team City, JIRA ticket management, Gerrit code review tool, Clang / GCC, GDB, MagicTrace/perf, Valgrind, and Compiler Sanitizers; and
• Experience with the following libraries: GMock/Gtest and Clang / GCC.

#LI-DNI

Polar Operations LLC (dba IMC Markets) has multiple openings for Python Software Engineer (REQ#4461661101) in Chicago, IL and Brooklyn, NY.

Your Core Responsibilities

• Implement software features and components for IMC's trading systems (25%).
• Design software solutions independently and make architectural decisions (10%).
• Debug and fix software issues in trading systems (5%).
• Identify complex multi-component issues, perform root cause analysis, and implement preventative solutions (5%).
• Ensure code quality and system reliability through comprehensive automated testing (10%).
• Contribute to the automated testing framework, own critical trading system components, and ensure reliability, performance, and scalability across regions (5%).
• Participate in code reviews (10%).
• Monitor system performance and trading operations (5%).
• Collaborate with traders and other teams to understand requirements and deliver solutions (10%).
• Participate in planning, estimate complexity of tasks, and help balance technical debt with feature development (5%).
• Mentor and guide junior developers and interns, helping them understand IMC's systems and development practices (10%).

Partial telecommuting permitted. Multiple positions available. Requisition #: 4461661101

Your Skills and Experience

This position requires a Bachelor’s degree, or foreign equivalent, in Computer science, Computer Engineering, or a similarly quantitative and technical field and one (1) year of experience in the job offered or a related occupation.

Must have at least one (1) year of experience in each of the following skill(s):

• Applying analytical and engineering techniques to solve complex problems programmatically;
• Programming with Python;
• Developing and implementing algorithms and data structures;
• Software development lifecycle and best practices;
• Designing and developing software applications in a collaborative, cross-functional environment;
• Experience with DevOps, databases, big data, or frontend frameworks;
• Experience with Docker, Kubernetes, and Linux environments;
• Experience working with financial data;
• Foundational knowledge of quantitative trading concepts and equity/index options;
• Exposure to web/API frameworks such as FastAPI and React;
• Experience with automated testing and CI/CD pipelines;
• Experience collaborating with trading desks and developing software for use in a quantitative trading environment;
• Experience with the following tools: Team City, JIRA ticket management, Gerrit code review tool, GitLab, uv, Gitlab CI, py-spy, memray, and Python Packaging; and
• Experience with the following libraries: Pandas, Polars, NumPy, Tensorflow, Scikit, scikit-learn, cvxpy, and Pytest.

#LI-DNI

We are looking for a commercially driven OTC Crypto Trader to join our team in Zug. In this role, you will be directly responsible for growing the desk’s PnL and executing block trades across digital asset markets. You will be entrusted with large ticket sizes and expected to operate with professionalism, discretion, and a sharp commercial instinct.

Your Core Responsibilities: 

• Manage risk effectively on large ticket transactions, ensuring best execution and competitive pricing
• Monitor markets and maintain awareness of macro and crypto-specific developments affecting trading
• Collaborate with internal teams including technology, compliance, and operations

Your Skills and Experience: 

• Minimum 2 years of trading experience, ideally on a flow or block trading desk
• Traditional finance or non-crypto trading backgrounds welcome; crypto trading experience is a strong plus
• Demonstrable track record of handling large notional trades with sound risk management
• Intermediate Python skills — comfortable with data analysis, scripting, and trade tooling
• Commercially driven with a strong client-facing mindset
• Trustworthy, reliable, and able to exercise independent judgment under pressure
• Work nonstandard weeks i.e. cover weekends and evening shifts as required in exchange for off days on other weekdays

What We Offer: 

• Competitive base salary and performance-linked bonus structure
• Exposure to a fast-growing, high-conviction crypto trading operation
• Access to deep liquidity and a broad institutional counterparty network
• Collaborative environment with the team in Zug, one of Europe’s premier crypto hubs
• Opportunity for significant career progression as the firm scales

We are looking for a data-focused engineer with a strong operational focus to support the Performance Team’s data platform at IMC. This role is responsible for the reliability, correctness, and performance of data systems that directly support performance analysis and decision-making.

The role is production-facing and works closely with the Performance team and aligned stakeholders to ensure data workflows are robust, observable, and efficient.

What you’ll do:

• Own the operational health of the Performance Team’s data platform
• Monitor and maintain ETLs and data pipelines for correctness, timeliness, and stability
• Design and maintain data quality checks, reports, and alerting specific to performance data
• Investigate and resolve data issues and pipeline failures, driving problems to root cause
• Own and troubleshoot GitLab CI/CD pipeline issues related to performance data workflows
• Monitor workloads and resource usage; identify and resolve imbalances and bottlenecks
• Build and maintain operational tooling, automation, and runbooks
• Continuously tune data pipelines and workloads to improve performance and resource efficiency

What you bring:

• 3+ years of experience in software engineering or data engineering with an operational or production focus
• A Bachelor’s Degree in Computer Science or a related field is strongly preferred
• Proficiency in Python, with hands-on experience using PySpark and Pandas
• Experience supporting production ETL or data processing systems
• Familiarity with Git-based development workflows and CI/CD systems (GitLab preferred)
• Strong analytical skills and attention to detail
• Comfortable taking ownership in a performance- and reliability-critical environment

Nice to Have

• Experience working with performance-critical or high-throughput systems
• Exposure to workload scheduling, resource management, or cluster-based compute

What Success Looks Like

• Performance data pipelines are reliable, observable, and trusted
• Issues are detected early and resolved quickly with clear root-cause ownership
• Workloads are well-balanced and systems run efficiently

At IMC, our trading tools are the environment traders and researchers live in all day. As a Lead UX Designer, you will help define how users understand the market, explore data, and make decisions in real time. This role combines deep workflow design with thoughtful, high quality user experience.

IMC is making a significant reinvestment in its trading platform, rethinking core tools, workflows, and interaction patterns from the ground up. You will be on the ground floor of that effort, with real influence over how the platform evolves and how great UX shows up across the firm.

You will work closely with traders, quantitative researchers, and engineers to design interfaces that are fast, intuitive, and well crafted. The goal is tools that feel natural under pressure, support complex decision making, and are genuinely good to use day after day.

Your Core Responsibilities

• Collaborate with traders, quantitative researchers, and engineers to design interfaces that support core trading behavior
• Develop a deep understanding of user needs, workflows, and day to day usage through research and observation
• Translate complex requirements into intuitive, coherent, and visually clear designs
• Design information-dense, high-reliability interfaces for expert power users, where speed, accuracy and clarity under pressure are critical
• Balance efficiency with usability and visual quality across critical workflows
• Lead the evolution of shared design systems and interaction patterns
• Advocate for user centered design and usability testing throughout the product lifecycle
• Partner with engineering to ensure designs are feasible, scalable, and well implemented
• Navigate conflicting feedback and propose thoughtful tradeoffs aligned with user and business goals
• Help define and drive a UX vision aligned with the platform’s future direction

Your Skills and Experience

• Experience designing systems that are the central focus of a user’s entire day to day
• A strong portfolio demonstrating both interaction design and visual craft
• Experience working with complex or technical products in fast paced environments
• Strong intuition for designing tools used under time pressure
• Fluency in wireframing, prototyping, and communicating design intent
• Ability to collaborate deeply with engineers and understand implementation constraints
• Clear and effective communicator across disciplines
• Pragmatic mindset that values simplicity, consistency, and quality

We are seeking a highly skilled Backbone Network Engineer to join our global network team. In this role, you will design, implement, and optimize the backbone infrastructure that underpins our global trading operations. You’ll work closely with engineers worldwide to ensure our network continues to deliver the ultra-low latency, high availability, and robust security required to maintain our competitive edge.

Core Responsibilities:

• Design and optimize backbone infrastructure for high-speed, low-latency data transmission and scalability.
• Deploy and configure high-performance routing and optical hardware to minimize congestion and maximize availability.
• Engineer low-latency routing paths between data centers, trading venues, and counterparties.
• Proactively detect, troubleshoot, and resolve network issues using advanced monitoring and analysis tools.
• Plan and scale backbone capacity to support global growth.
• Partner with trading, development, and infrastructure teams to integrate network changes seamlessly into production.
• Collaborate globally to maintain documentation, policies, and operational standards.

Skills and Experience:

• 5+ years of experience in network engineering, with a focus on backbone or large-scale infrastructure.
• Deep knowledge of routing protocols (BGP, IS-IS, MPLS, PIM, Segment Routing) and traffic engineering.
• Expertise with routers, switches, and optical networking technologies (DWDM/ONS).
• Strong troubleshooting skills across LAN, unicast/multicast routing, and packet-level analysis.
• Experience with network automation and scripting (Python, Bash, Ansible).
• Proven ability to solve complex problems quickly and effectively.
• Strong communication skills for cross-team collaboration.
• Willingness to participate in on-call rotations during trading hours and critical events.

While this is a hybrid position, we expect an in-office presence in our Chicago office 3-4 times per week

We are looking for a multi-talented and passionate Trading Systems Engineer to join our execution development team.

In this role, you will take ownership of systems that sit directly in the critical path of live trading, handling everything from hardware and network connectivity to application performance and exchange interactions.

This is not a pure support role — and it’s not purely project-based engineering either. It’s intentionally both. You will split your time between:

• Operational support of live trading systems, ensuring stability and rapid resolution of production issues.  This portion of the role is fast-paced, highly visible and requires strong troubleshooting instincts, clear communication, and the ability to remain calm under pressure.  If you enjoy solving real-time problems and seeing immediate impact from your work, this is for you.
• Project-based engineering work, improving the reliability, performance, and automation of those same systems.  The goal is simple: fewer incidents, faster recovery, more proactive monitoring, and stronger systems over time. We believe production ownership and engineering improvement go hand in hand — the best way to improve a system is to deeply understand how it behaves under real-world pressure.

Our execution systems are fundamental to our success and require dedicated ownership to ensure continuity throughout the trading day. You will play a key role in both optimizing today’s trading and building a continuously better platform for tomorrow.

You’ll join a team of experienced engineers committed to rigorous operational excellence and continuous improvement, with a high degree of responsibility over complex, real-time system interactions across trading and technology.

Your Core Responsibilities:

• Participate in structured support rotations to provide real-time coverage for critical execution systems
• Ensure continuity of trading operations, prioritizing and resolving system issues with urgency and composure
• Diagnose novel production incidents, often coordinating across trading, development, infrastructure, and external exchanges
• Monitor system performance and proactively identify risks before they impact trading
• Build automation tools for system orchestration and operational efficiency
• Eliminate recurring issues through root cause analysis and durable fixes
• Partner with technology and trading teams to refine and deploy system architecture
• Enhance monitoring, observability, and resiliency
• Support and optimize core market connectivity

Your Skills and Experience:

• Passion for problem solving and new technologies.
• 2-5+ years of experience in Site Reliability Engineering, Systems Integration, Production Engineering, or a related role in a heavily on-prem environment
• 2-5+ years of hands-on experience with Linux operating systems, network configuration, and server management
• Strong understanding of network fundamentals, including routing protocols, TCP/UDP, multicast, network offload, and kernel bypass technology
• Proficiency in Python and Bash
• Demonstrated curiosity and hands-on experimentation with technology—whether through personal projects, home labs, open source contributions, or deep-dive exploration of operating systems and networking
• Bachelor’s degree in Computer Science, Information Technology, or related engineering discipline (or equivalent practical experience)

Preferred Experience:

• Experience with MySQL, MongoDB, and NoSQL technologies

What You'll Gain:

• Deep exposure to cutting-edge, low-latency trading infrastructure
• Direct impact on live trading—your work matters immediately
• Broad technical growth across hardware, networking, systems, and application layers
• Collaboration with elite traders and engineers
• Ownership and autonomy over critical systems

We are deploying machine learning directly onto custom hardware – and we want you to help drive it from the ground up. This is an initiative where you'll have the rare opportunity to architect solutions from scratch, influence technical research direction, and see your work drive real impact in one of the most demanding computing environments in the world.

We build the hardware, the software, and the infrastructure, so when you hit a bottleneck, you can fix it - there's no vendor to wait on and no abstraction layer you're not allowed to touch. If you've ever wanted to push the boundaries of what's computationally possible, this role is for you. We're looking for researchers and experienced engineers from any background. Trading experience is a bonus, not a prerequisite.

Your Core Responsibilities

• Architect and co-design ML models with traders, quant researchers, and software engineers, treating hardware constraints (latency budgets, resource limits, numerical precision) as first-class design inputs
• Shape our custom hardware roadmap by translating ML model requirements into concrete architectural decisions
• Work hands-on with hardware engineers to implement, verify, and deploy ML inference solutions from proof-of-concept through production
• Track and evaluate emerging research in neural architecture search, machine learning systems and quantization methods, and determine what translates to measurable improvements in our systems

Your Skills and Experience

• Solid understanding of hardware constraints and design trade-offs (e.g., pipelining, resource utilization, fixed-point arithmetic) that shape how ML models can be efficiently mapped onto FPGAs or custom ASICs
• Experience with hardware fundamentals, whether through VHDL/SystemVerilog development, HLS tools, or ML-to-hardware frameworks like hls4ml, FINN, or Vitis AI
• Understanding of machine learning fundamentals – neural network architectures, inference optimization, quantization techniques, ML frameworks such as PyTorch/TensorFlow
• Proficiency in Python, C++, or similar languages for tooling, testing, and simulation
• Strong communication skills and ability to work collaboratively across disciplines with both technical and non-technical teams

Nice to Have

• Exposure to ML compiler infrastructure such as MLIR, TVM, XLA, or similar tools for lowering and optimizing models for hardware targets
• Background in latency-sensitive or resource-constrained systems including high-frequency trading, particle physics data acquisition, real-time signal processing, or similar domains
• Familiarity with functional verification methodologies (for example SystemVerilog, UVM, Cocotb)
• Advanced degree (MS or PhD) in EE, CS, Physics, or related field, or equivalent depth through industry or research experience

Your Core Responsibilities

• Collaborate with Traders to evaluate and enhance the performance of IMC’s existing proprietary trading models using advanced mathematical and analytical methods.
• Design quantitative methods to gather and analyze historical market data, trading statistics or new data sources and use the result of that research as the basis for new trading strategies.
• Translate trading strategies into mathematical models, algorithms, and other complex computational programs to realize the combined vision of the trading team.
• Build custom computational data analysis tools to explore new quantitative research ideas; design mathematical models to test, visualize and refine trading ideas before implementation.
• Apply rigorous analytical and quantitative techniques to solve complex problems presented by new and existing proprietary trading strategies.
• Coordinate with developers to implement new and improved quantitative trading models and launch them into production on IMC’s proprietary trading platform
• Conduct all quantitative trading research, development, and implementations according to internal best practices to keep IMC’s trading ecosystem logical and consistent.

Partial telecommuting permitted. Multiple positions available.

Quantitative Researcher (Requisition ID: 4453347101)

Your Skills and Experience

This position requires a PhD, or foreign equivalent, in Finance, Financial Mathematics, Financial Engineering, Statistics, Computational Mathematics or similarly quantitative and mathematical field.

Must have demonstrated experience in each of the following skill(s):

• Application of analytical and quantitative techniques to solve complex problems;
• Designing and implementing mathematical models and algorithms, including linear modeling, convex optimization, and numerical methods for large-scale data and parameter estimation;
• Developing and using computational data analysis tools for research;
• Statistical programming techniques (including Python or C++) and designing and executing independent quantitative research projects, including formulation of hypotheses, development of models, empirical testing, and clear documentation of results;
• Time series analysis, applied statistics, and theoretical mathematics (such as probability, measure theory/real analysis, and linear algebra);
• Implementing algorithms, conducting data analysis, and building research pipelines using numerical and scientific computing libraries (such as NumPy, pandas, SciPy) and version control (such as Git);
• Experience with time series modeling and forecasting, including stochastic processes and state-space or related frameworks, such as applied to real-world data; and
• Conducting literature reviews and replicating and extending prior work with methodological rigor and reproducibility.

#LI-DNI

Your Core Responsibilities

• Collaborate with Traders to evaluate and enhance the performance of IMC’s existing proprietary trading models using advanced mathematical and analytical methods.
• Design quantitative methods to gather and analyze historical market data, trading statistics or new data sources and use the result of that research as the basis for new trading strategies.
• Translate trading strategies into mathematical models, algorithms, and other complex computational programs to realize the combined vision of the trading team.
• Build custom computational data analysis tools to explore new quantitative research ideas; design mathematical models to test, visualize and refine trading ideas before implementation.
• Apply rigorous analytical and quantitative techniques to solve complex problems presented by new and existing proprietary trading strategies.
• Coordinate with developers to implement new and improved quantitative trading models and launch them into production on IMC’s proprietary trading platform.
• Conduct all quantitative trading research, development, and implementations according to internal best practices to keep IMC’s trading ecosystem logical and consistent.

Partial telecommuting permitted. Multiple positions available. Requisition Number: 4453348101

Your Skills and Experience

This position requires a Masters degree, or foreign equivalent, in finance, financial mathematics, financial engineering, computational mathematics or similarly quantitative and mathematical field and six (6) months of experience in the job offered or a quantitative and mathematical role or a related position.

Must have demonstrated experience in each of the following skill(s): 

• Application of analytical and quantitative techniques to solve complex problems
• Design and implementation of mathematical models and algorithms;
• Development and use of computational data analysis tools for research
• Statistical programming techniques and best practices;
• Financial theory, financial mathematics, or financial engineering.

Skills can be gained concurrently or as part of education curriculum, co-op, or internship.

#LI-DNI

We're looking for a motivated Workday Financials Specialist to join our Global Finance Automation team and help shape the future of finance at IMC. In this global-facing position, you'll collaborate with our Finance Automation Team in Amsterdam and Finance teams across the globe. You'll be hands-on in configuring, testing, and deploying Workday Financials modules while continuously aligning system capabilities with evolving business needs. Your focus will be on delivering smart, scalable solutions that drive automation and continuously optimize our finance processes.

At IMC, we move fast and think forward. We foster a dynamic, tech-driven environment where experimentation is encouraged, feedback loops are tight, and everyone contributes ideas - regardless of job title. This role is ideal for a tech-savvy finance professional who's eager to learn, thrives in global, collaborative settings, and is excited about driving change through automation and technology.

Your core Responsibilities:

• Partner with regional stakeholders and the Global Finance Automation team to roll out automation initiatives across finance operations
• Support and maintain global Workday Financials modules
• Configure, enhance, and optimize Workday Financials solutions, including Accounting Center, Allocations, and reporting frameworks
• Collaborate closely with Finance teams to understand end-to-end processes
• Transform automation ideas into practical solutions using modern tools
• Align business requirements across regional and global teams

Your Skills and Experience:

• 2-4 years of experience with Workday Financials
• A solid understanding of finance and accounting fundamentals
• Consulting experience in Workday Financials: FDM & Accounting, Business Processes, Reporting, Allocations, Integrations, Supplier Account modules, and Accounting Center
• A passion for learning about finance technologies and automation
• Self starter with strong analytical skills and clear, effective communication
• Proactive mindset with the ability to quickly learn and adapt in cross-functional teams
• Willingness to travel to other IMC offices
• Exposure to finance Python, ETL concepts and BI platforms is a plus

We are looking for Senior Legal Counsel with 10+ years of legal experience in U.S. financial and/or cryptocurrency regulation to join our team in Chicago. In this role, you will be responsible for advising on cryptocurrency, digital assets, and tokenization rules and strategies. You will also review and negotiate cryptocurrency market-maker and related agreements, as well as draft internal policies, prepare registration applications, and review proposed investments in digital assets. The ideal candidate will bring a strong background in digital assets and relevant U.S. federal securities laws.

Your Core Responsibilities

• Advise on regulations governing cryptocurrencies, blockchain, and digital assets, including European and U.S. regulations.
• Draft and negotiate agreements involving token market-making, issuances, partnerships, and digital asset transactions.
• Support the organization’s compliance efforts, including advising on AML/KYC matters, conducting due diligence reviews, and identifying relevant licensing requirements.
• Monitor legislative and policy developments in crypto regulation and provide proactive legal strategies.
• Identify potential legal risks and proactively propose solutions.
• Advise senior business, finance, and compliance leaders on commercial, legal, and regulatory risks to support informed decision-making.
• Collaborate with team members (legal, compliance, finance) across regions to identify regional legal or regulatory risks and propose potential solutions or mitigation actions.

Your Skills and Experience

• Minimum of 10+ years of relevant legal experience at an exchange, regulator, law firm, and/or as in-house legal counsel.
• Regulatory & Compliance Expertise – Knowledge of relevant U.S. and international crypto regulations.
• Corporate & Transactional Skills – Experience structuring crypto-related agreements, token market-making agreements, and other digital asset transactions.
• Strong leadership and team-management abilities.
• Excellent negotiation, communication, and analytical skills.
• Juris Doctor.
• Experience working on cross-functional or cross-regional projects.

While this is a hybrid position, we expect an in-office presence in our Chicago office four times per week.

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

IMC is entering an exciting phase of global growth. As we continue expanding our trading, technology, and research capabilities worldwide, building leadership and technical capability at scale has never been more critical.

We’re looking for an experienced Learning Experience Designer to join our global Learning & Development team. You will lead the creation and development of innovative learning solutions that accelerate performance, strengthen leadership capability, and support IMC’s growing global workforce. This is not a traditional content production role. You will manage end-to-end learning design projects, collaborate with business leaders, and partner with subject matter experts to diagnose needs, design evidence-based solutions, and facilitate engaging learning experiences across regions.

Your Core Responsibilities:

• Lead the design and adaptation of learning programs for diverse audiences, applying best practices in adult learning and personalization strategies
• Use feedback and program evaluation methods to systematically refine experiences
• Conduct needs analysis and discovery sessions to identify performance gaps, learning opportunities, and recommend AI-driven learning analytics solutions
• Develop a range of learning assets & experiences—including eLearning modules, practice labs, immersive workshops, multi-day experiential learning programs, job aids, one-pagers, assessments, and facilitator guides— from concept to deployment, ensuring accessibility and inclusivity
• Collaborate with cross-functional teams and subject matter experts to ensure content accuracy, relevance, and instructional quality
• Manage project timelines, deliverables, and stakeholder communications for multiple concurrent projects, demonstrating adaptability and influence
• Ensure all learning content adheres to organizational learning philosophy, technical specifications, and brand guidelines, with a focus on global audiences
• Stay current with emerging learning technologies, tools, and trends, and recommend innovative approaches

Your Skills and Experience

• Minimum 5 years of experience learning or instructional design with proven ability to conduct thorough needs assessments to inform solution design; experience supporting diverse or global audiences is an asset
• Bachelor's Degree in Instructional Design, Human Performance Improvement, Learning Technology, or a related field is required; equivalent professional experience will also be considered
• Advanced proficiency with digital authoring tools (e.g., Articulate Storyline, Rise, or equivalent), AI video creation tools (e.g. Synthesia), and learning management systems (e.g. Docebo)
• Proven ability to align learning solutions with business outcomes, especially in performance-driven environments
• Strong communication, organization, and project management skills to manage multiple priorities and stakeholders, with demonstrated adaptability and stakeholder influence
• Demonstrated curiosity and initiative in exploring emerging learning technologies, tools, and design trends (e.g. microlearning, gamification, adaptive learning).
• Portfolio of work demonstrating measurable impact and innovation in learning design
• Facilitation experience - Proven ability to facilitate engaging sessions for groups of 10-50 people across different formats (e.g. in-person workshops, virtual sessions, hybrid experiences)
• Learning science foundation - Working knowledge of adult learning principles (e.g. andragogy, social learning theory, cognitive load theory) and ability to apply them to program design
• Evaluation mindset - Experience using feedback, surveys, and learning analytics to assess program effectiveness and drive iterative improvement
• Ability to thrive in a dynamic, high-output, and occasionally ambiguous environment

You Are

• A learner-centered designer. You start with understanding your audience – their prior knowledge, their needs, their anxieties – and design backwards from the outcomes they need to achieve.
• Evidence-informed. You make design decisions based on learning science research and data, not just intuition or convention, and can articulate the "why" behind your approaches.
• Low ego and execution-focused. You value impact over visibility, take pride in enabling others' success, and deliver high-quality work consistently.
• You understand that effective development experiences aren't just information transfer; they're about building confidence, connection, and capability through evidence-based design
• You can articulate why spaced practice matters, design for cognitive load, and translate complex organizational knowledge into engaging learning experiences.

The Global Learning & Development (L&D) Program Manager will lead the design, governance, and execution of IMC’s global learning portfolio across regions. You will partner closely with global business leaders, HR, and regional stakeholders to translate IMC’s strategic priorities into scalable learning programs that build leadership capability, accelerate time-to-productivity, and strengthen organizational performance.

Through your leadership, you will collaboratively develop and manage a portfolio of global learning programs to address gaps and build future capability. You will play an integral role in delivering learning programs that are largely custom to IMC: practical, repeatable, and sustainable. Our ideal candidate will be passionate about growing our people and ensuring our programs connect to global strategy, are consistently delivered and well-received across the organization.

Your Core Responsibilities:

• Own and evolve IMC’s global L&D portfolio, ensuring programs align with business strategy and future capability needs
• Own, optimize, and manage the operations of global L&D programs, including needs analysis, resource allocation, delivery, communications, evaluation, reporting, content evolution, and vendor relationships
• Drive cross-regional execution, ensuring timelines, milestones, and dependencies are managed effectively
• Oversee vendors and internal partners to ensure high-quality, on-time delivery
• Use data and feedback to continuously refine and scale high-impact solutions
• Execute with strong project management skills, including monitoring work plans and managing against milestones, knowing what to prioritize and why, keeping key people informed, and escalating as needed
• Ensure policies, programs, and guidelines are followed and manage exceptions and escalations
• Contribute to additional HR and IMC initiatives as needed

Your Skills and Experience:

• Bachelor's Degree; Minimum 5+ years of experience in L&D, talent development, or related program leadership roles
• Significant experience managing complex, multi-regional programs in a matrixed, high-growth environment
• Strong stakeholder management and influencing skills across levels and geographies
• Solid grounding in adult learning principles and instructional design
• Exceptional project management, prioritization, and execution discipline
• Analytical mindset with the ability to translate data into insight and action
• Established track record for taking a consultative approach to designing and delivering (training yourself and partnering with trainers) learning programs with measurable business results that meet stakeholder needs
• Significant program management experience in successfully planning, managing, and delivering multiple, concurrent, and complex work streams in a matrixed organization with tight timelines
• Proven ability to communicate ideas and insights in person, virtually, and in writing, concisely and with impact, understanding what is relevant versus what isn't
• Outstanding interpersonal skills that build relationships at all levels across the organization with the ability to influence, collaborate, and build consensus
• Strong critical thinking skills to identify interdependencies between complex issues, data, and outcomes
• Ability to produce quality deliverables:
  • Aggregate data, complete analysis, and display results visually
  • Translate data into insights and tell a clear, concise, and compelling story tailored to your audience; make asks clear and easily actionable
  • Create clear, concise, professional written communications with a user-friendly layout that readers can follow

This role operates at a global level and will require meaningful international travel. You should expect to travel 25%-30% of the year with trips ranging from 1-3 weeks. The ability and willingness to spend extended time in regional offices is essential to building trusted partnerships and ensuring successful enterprise-wide implementation

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

We are deploying machine learning directly onto custom hardware – and we want you to help drive it forward. This PhD internship is an opportunity to work on research that has direct impact on IMC's work tackling open problems at the frontier of low-latency ML inference and hardware acceleration.

You'll work alongside IMC engineers in one of the most demanding low-latency computing environments in the world. You'll own a focused research project from start to finish, present your findings to the team, and leave behind a prototype or benchmark that we can build on.

Your Core Responsibilities

• Architect and develop an ML focused research project based on a real-world trading environment
• Work hands-on with hardware engineers to implement, verify, and deploy ML inference solutions
• Track and evaluate emerging research in neural architecture search, machine learning systems and quantization methods, and determine what translates to measurable improvements in our systems
• Present your project to the team, deepening our collective understanding of an area of ML acceleration
• Gain hardware design fundamentals from skilled RTL developers and learn how they apply to our industry
• Build skills to evaluate research not only from an academic perspective, but through real-world performance constraints, engineering costs, and industry impact

Your Skills and Experience

• Currently enrolled in a PhD program in Electrical Engineering, Computer Science, Physics, or a related field
• Solid understanding of hardware constraints and design trade-offs (e.g., pipelining, resource utilization, fixed-point arithmetic) that shape how ML models can be efficiently mapped onto FPGAs or custom ASICs
• Experience with hardware fundamentals, whether through VHDL/SystemVerilog development, HLS tools, or ML-to-hardware frameworks like hls4ml, FINN, or Vitis AI
• Understanding of machine learning fundamentals – neural network architectures, inference optimization, quantization techniques, ML frameworks such as PyTorch/TensorFlow
• Proficiency in Python or similar languages for tooling, testing, and simulation
• Strong communication skills and ability to work collaboratively across disciplines with both technical and non-technical teams

You may submit one application per role each year.  We strongly encourage you to focus on applying to a single role that best matches your skills and interests.  Though you may apply to multiple roles, please note that each application will be evaluated based on the specific criteria established for that particular role. If you have already applied for this position during the current recruitment season and were not selected, you may reapply when the next recruitment season begins in 2027.

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.

Base Salary: $225,000

We are looking for a recent graduate to join IMC as a Graduate Broker Trader. IMC is a high frequency trading firm with a strong trading presence in the broker market. As a Graduate Broker Trader, you will be part of highly motivated team facing the daily challenge of managing the execution and risk of complex trading portfolios. In this role, you’ll respond to quotes in the broker market both over the phone and on screen, leveraging quantitative analysis to discern the best opportunities. Additionally, you will actively build and enhance the quality of our electronic trading strategies, requiring superior analytical, mathematical, and computing skills. We’re seeking someone who loves participating in markets and building tools to succeed in them. 

Your Core Responsibilities:

• Engage in immersive, practical training to quickly acquire the skills needed to be successful on a trading desk
• Work in a team of broker and screen traders to optimize trading utilizing quantitative strategies and analyses
• Make markets throughout the day on a variety of mediums
• Build and maintain relationships with brokers
• Perform trades analysis to improve trading
• Develop, maintain, and enhance trading models, algorithms, systems, and positional risk
• Find a competitive edge to drive results in the market while collaborating effectively with fellow IMC traders

Your Skills and Experience:

• 0-1 year of experience in a quantitative-focused role or a current university student graduating between September 2025 and July 2026 that is pursuing a degree in a quantitative field of study (e.g. Mathematics, Physics, Computer Science or similar)
• Superior numerical, analytical, and problem-solving skills
• Thrives and is able to make decisions in a fast-moving and competitive environment
• A team player with a proactive, self-driven attitude
• Experience with programming in Python is required
• A desire to learn and solve complex problems
• Interest in financial markets; previous knowledge is not required
• Must be available for full-time employment starting in August 2026

You may submit one application per role each year.  We strongly encourage you to focus on applying to a single role that best matches your skills and interests.  Though you may apply to multiple roles, please note that each application will be evaluated based on the specific criteria established for that particular role.If you have already applied for this position during the current recruitment season and were not selected, you may reapply when the next recruitment season begins in 2026.

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.

Base Salary: $200,000

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

Presented by IMC and Team Liquid

What if your next chess move took you to Chicago to face the world champion?

The US Chess Academy is a one-of-a-kind program open to all students across US and Canadian colleges and universities, whether you're a seasoned competitor or just love the game. In partnership with Team Liquid, IMC is bringing together the brightest student chess players in the country for a chance to compete at the highest level and play face-to-face with World Chess Champion Magnus Carlsen.

This is more than a chess tournament. It's an opportunity to step inside one of the world's leading trading firms, connect with IMC's traders, researchers and technologists, and experience what it's like to think fast, compete hard, and perform under pressure — skills that define both great chess players and the people who thrive at the world's top trading firms.

What You'll Do

• Compete at the highest level: Qualify through an online Swiss-format tournament on Chess.com and, if you advance, travel to IMC's Chicago office to compete in the championship finals against the best student players in the country.
• Face the greatest: Finalist competitors will take part in a showmatch experience with World Chess Champion Magnus Carlsen, one of the most exceptional competitive opportunities available to any student chess player.
• Go behind the scenes at IMC: Tour IMC's Chicago office and get a firsthand look at the environment where some of the world's fastest and most sophisticated trading takes place.
• Build your network: Connect directly with IMC traders, researchers, technologists, and recruiters. Whether or not a career in trading is on your radar, this is a rare chance to meet and learn from world-class professionals.

Key Dates

• Applications Close: Sunday, May 10, 2026
• Eligibility Notifications: Monday, May 11, 2026
• Virtual Qualifiers: Tuesday, May 19 or Wednesday, May 20, 2026
• Championship at IMC Chicago: Sunday, July 12-Monday, July 13, 2026

What You'll Need

• Currently enrolled as a full-time undergraduate or postgraduate student at a US or Canadian college or university
• 18 years of age or older
• A valid Chess.com account
• Available to compete in the virtual qualifier on May 19 or 20, 2026 (date assigned and cannot be changed once confirmed)
• Available to travel to Chicago for the finals on July 12–13, 2026
• Open to all majors and academic backgrounds — all skill levels welcome

Ready to Apply?

Applications are open to all enrolled students regardless of chess rating or experience level. If you love the game and want to test yourself against the best, we want to hear from you.

Apply by May 10, 2026.

For full eligibility requirements and competition rules, please refer to the Terms and Conditions. 

TRADING OPERATIONS AT IMC:

IMC is currently looking for a talented and passionate Trading Operations Specialist to play a critical role in maintaining and perfecting our trading systems. As a Trading Operations Specialist, you will be part of highly motivated team, facing the daily challenge of managing a high-volume data flow in a complex environment distributed over a low latency infrastructure. In this role you will be exposed to many technical and trading challenges while ensuring high availability, stability and performance of the end-to-end environment.

This role provides frequent challenges, as no day is the same as the next. The person in this role will have the opportunity to make a considerable impact as part of a dedicated, dynamic global team.

Your Core Responsibilities:

• Monitor, manage and update pricing tools
• Act as point of contact between traders and internal support desks
• Liaison to external issuers, vendors and data providers
• Work and support the market making trade book
• Verify backend processes (trade reporting, pnl recording)

Your Skills and Experience:

• Recent university graduate or current university student graduating before August 2026 with a degree in a quantitative field of study (e.g. Mathematics, Computer Science, Physics, Econometrics, or related field)
• Strong quantitative skill set
• Superb eye for detail
• Ability to develop and improve existing tools to affect significant results within the company
• Ability to multi task, organize, and communicate effectively
• Experience in a programming language (e.g. Python, Matlab or R) is an advantage but not required
• Genuine interest in financial markets, though no prior knowledge or experience is required
• A team player – at IMC we’re all in it together
• Must be available to start full time employment in August 2026

You may submit one application per role each year.  We strongly encourage you to focus on applying to a single role that best matches your skills and interests. Though you may apply to multiple roles, please note that each application will be evaluated based on the specific criteria established for that particular role. If you have already applied for this position during the current recruitment season and were not selected, you may reapply when the next recruitment season begins in 2026.

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.

Base Salary: $200,000

We are looking for a recent graduate to join IMC as a Graduate Floor Trader. IMC is a high frequency trading firm and we have a strong trading presence in the broker market on the trading floor. As a Graduate Floor Trader, you will be assigned to one of the many EO options trading floors in the U.S., where you will actively respond to quotes in the open outcry broker market. We’re seeking someone who loves participating in markets and has superior analytical, mathematical, and computing skills. As a graduate floor trader your decisions have a direct impact on IMC’s trading strategies.

Your Core Responsibilities: 

• Work in a team of broker and screen traders to optimize trading
• Interact with brokers throughout the day, making markets and providing liquidity
• Build and maintain relationships with brokers
• Perform trades analysis to improve trading
• Develop, maintain, and enhance trading models, algorithms, systems, and positional risk
• Research new market opportunities   

Your Skills and Experience: 

• Recent university graduate or current university student graduating between May 2025 and July 2026 with a degree in finance, economics, mathematics or related field of study
• Superior numerical, analytical, and problem-solving skills
• Genuine interest in financial markets, though no prior knowledge or experience required
• Ability to work successfully in a fast-moving and competitive environment
• Experience with programming in Python is and advantage
• A team player – at IMC we’re all in together
• Eagerness to continuously learn
• Open to travel within the US to support IMC across multiple exchanges   
• Must be available to start full-time employment in August 2026

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.

Base Salary: $200,000 USD

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

IMC is looking for Legal Counsel to provide commercial legal support for contracts covering various departments including Trading, Technology, Compliance, Finance, Corporate, and Tax. This position will offer legal advice on a variety of matters, with its primary focus on reviewing, drafting, and negotiating commercial arrangements related to trading activities for broker-dealers registered in various capacities and non-registered entities, as well as other related technology, exchange, platform, software, internal corporate, and general business agreements and arrangements.

Your Core Responsibilities

• Draft, negotiate, and review commercial contracts, including trading, execution, rate, exchange, platform, software and technology agreements; consulting agreements; confidentiality agreements; corporate documentation; and other general business and legal agreements.
• Advise stakeholders of potential risks, including regulatory risks, in contractual areas and propose risk mitigation strategies. Ability to advise on corporate tax issues is a strong plus.
• Provide creative and legally sound solutions to ensure that projects keep moving forward to completion.
• Provide general advice on a wide variety of unique scenarios as they arise in the day-to-day conduct of IMC’s business.
• Work with trading teams, business owners, and the procurement function to respond to various requests for commercial legal services.

Your Skills and Experience

• Juris Doctor (J.D.) degree required, with strong academic credentials and active membership in good standing with the Illinois Bar.
• 8+ years of law firm or prior in-house experience in financial services industry preferred, with an understanding of proprietary trading firm operations and the U.S. financial services regulatory framework, including rules applicable to trading firms and broker-dealers.
• Demonstrated generalist mindset with intellectual curiosity and a willingness to learn new areas quickly; ability to lead new initiatives from concept through successful completion.
• Proven ability to work independently and effectively under tight deadlines.
• Excellent organizational, communication and interpersonal skills.
• Excellent management skills and business judgment with a capacity to make decisions and give advice that demonstrate an understanding of overall business objectives and the risks/rewards of each situation.
• Strong research and writing skills and a demonstrated ability and willingness to effectively and proactively engage in in-person communication are required.
• Must be willing to step into a project management role to bring all business owners and stakeholders together to ensure that projects remain on track and deadlines are being met.

Operations Developer

IMC is seeking an Operations Developer to join highly collaborative Middle Office technology team supporting critical operational workflows. In this role, you’ll build and maintain custom data pipelines and internal tools that support reconciliation, reporting, and trade-related processes across the business. You’ll work closely with analysts, finance, and trading support teams in a fast-paced environment where reliability, automation, and operational excellence matter.

Your Core Responsibilities: 

• Work with the Mid-Office, Finance, and Trading teams daily to ensure all data has landed for reconciliation and reporting
• Monitor for production issues and provide a quick response to help eliminate downtime in our operational pipeline
• Work with our various data providers, both internal and external, to ensure timely delivery of data and to provide feedback on file formats/data quality
• Work on various projects to help automate new and existing operational processes
• Document technical processes for business users to allow better understanding and the ability to troubleshoot
• Develop new and maintain existing Front-end applications to keep up with our evolving operational environment 

Your Skills and Experience: 

• 3+ years of direct, hands-on Python development experience (OOP, Unit Tests, Type Hints)
• 3+ years of direct, hand-on SQL experience (CTEs, Indexes, Stored Procedures) 
• Familiarity with MS SQL Server is preferred 
• Experience gathering business requirements, communicating with key stakeholders and delivering solutions quickly
• Excellent command of the Python language and ETL development
• Automation focused mindset
• Qualifications in Computer Science, Data Development, or Workforce Automation
• Previous experience within financial services is beneficial but not a prerequisite
• Experience with QlikSense is beneficial but not a prerequisite
• Experience with Kubernetes, Docker and gitlab CI/CD is beneficial but not a prerequisite

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

IMC is seeking an experienced Employment Counsel to join our in-house legal team and serve as a trusted partner to our HR and business leadership on all things employment law.

Your Core Responsibilities

• Serve as the primary legal advisor on employment matters across the full employee lifecycle, including recruiting, hiring, compensation and benefits, leaves of absence, accommodations, performance management, and terminations
• Provide practical, business-oriented counsel on multi-state employment law issues, with a focus on jurisdictions such as Illinois, New York, and other states where employees are located
• Partner closely with HR to deliver proactive, solutions-oriented legal guidance; support risk identification and mitigation through ongoing collaboration, mentorship, and training
• Draft, review, and negotiate a wide range of employment-related documents, including offer letters, employment and separation agreements, restrictive covenant agreements, and company policies/handbooks
• Lead or support internal investigations into workplace complaints (e.g., harassment, discrimination, policy violations) and manage pre-litigation matters, including demand letters and coordination with outside counsel
• Advise on employment issues specific to the financial services and trading industry, including regulatory considerations (e.g., FINRA licensing), broker-dealer requirements, compensation structures, and whistleblower protections
• Counsel on employee data privacy and protection obligations, including compliance with U.S. state laws (e.g., CCPA/CPRA, Illinois BIPA, New York SHIELD Act) and relevant international frameworks
• Develop, implement, and maintain employment-related policies, and design and deliver training programs for managers and employees on key legal topics (e.g., anti-harassment, accommodations, wage and hour compliance)
• Partner with senior leadership and the General Counsel on strategic workforce initiatives, including organizational restructurings, and support employment aspects of M&A transactions (due diligence and integration)
• Monitor and analyze changes in employment laws, regulations, and enforcement trends, and translate developments into actionable guidance for HR and business leaders

Your Skills and Experience

• Juris Doctor (J.D.) degree from an ABA-accredited law school
• Active bar admission in Illinois and/or New York, with willingness to obtain in-house counsel registration as needed
• 8+ years of employment law experience, either in-house or at a law firm, with significant exposure to multi-state employment issues
• Experience advising organizations in financial services, trading, or other highly regulated industries strongly preferred
• Demonstrated experience managing workplace investigations, agency charges, and employment-related disputes or litigation
• Familiarity with FINRA and SEC employment-related regulations is a plus
• Strong working knowledge of wage and hour laws, leave and accommodation requirements, and restrictive covenant enforceability across multiple jurisdictions (particularly Illinois and New York)
• Experience advising on reductions in force (RIFs), restructurings, and executive separations
• Excellent judgment and ability to deliver clear, practical legal advice in a fast-paced, high-performance environment
• Strong written and verbal communication skills, with the ability to translate complex legal concepts into actionable guidance for business stakeholders
• Ability to operate independently with minimal supervision, while exercising sound judgment on when to escalate issues

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

We’re looking for a hands-on, entrepreneurial Trading Engineer to join our Strategy Development team. This role sits at the heart of IMC’s trading operation, where technology, data, and market strategy meet. You’ll own systems that power our trading strategies, build automations that make us faster and smarter, and keep our trading running smoothly under pressure.

This is an ideal opportunity for someone with an SRE or operations engineering background who wants to get closer to the action, where milliseconds matter and creativity drives impact.

What You’ll Do:

• Be on the front lines of trading: Monitor system health and performance in real time, respond to market-driven incidents, and ensure our systems stay up and fast during trading hours. Dive deep into distributed architectures to identify root causes and prevent recurrences.
• Engineer away the pain: Build tools and automations that eliminate manual processes, scale our reliability, and free time for innovation.
• Collaborate across disciplines: Partner with traders, quants, and developers to deliver high-impact improvements to our trading stack.
• Continuously improve: Challenge existing processes, propose creative solutions, and drive reliability and performance through engineering excellence.

What You Bring:

• Bachelor’s degree in Computer Science, Information Technology, or related field
• 3+ years in site reliability, systems engineering, or technical operations, ideally supporting high-performance or real-time systems
• Strong scripting and automation skills (Python and Bash required)
• Hands-on experience managing production Linux and Kubernetes environments
• Familiarity with Prometheus, SQL/MongoDB, InfluxDB, Kafka, or similar technologies
• A proactive, problem-solving mindset. We are looking for someone who thrives under pressure and enjoys learning new systems quickly
• Excellent communication skills and a collaborative spirit

Why It’s Exciting:

You’ll be part of a tight-knit team that drives the heartbeat of trading, where your code and decisions directly influence market performance. You’ll gain exposure to both engineering and trading strategy, work alongside exceptional technologists and traders, and have the freedom to build, automate, and innovate in a fast-paced, impact-driven environment.

#LI-DNP

IMC is embedding agentic AI directly into the developer workflow for our production-critical systems. As a member of the Agentic AI engineering team, you’ll help build agents, MCP servers, and evaluation loops that make AI-generated code reliable, auditable, and fast to ship. You’ll work closely with experienced engineers and platform teams to deliver pragmatic, high-impact AI integrations at scale.

What You’ll Do

• Contribute to the platform by implementing agents, MCP servers, and supporting services that propose and apply changes to large codebases
• Assist in developing retrieval systems that give AI agents and developers accurate, up-to-date context from large codebases and design artifacts
• Help measure and improve AI-generated changes by building compile/test/evaluate pipelines (static analysis, style and safety checks, performance gates, code review)
• Apply IMC’s best practices in concurrency, telemetry, configuration hygiene, and performance-sensitive code paths to ensure AI outputs are reliable and idiomatic
• Collaborate with teammates on experiments to evaluate and improve AI-driven workflows

What You Bring

• BS+ in Computer Science (or related) with strong fundamentals (algorithms, data structures, systems)
• Proficiency in a high-level programming language (Java or Python preferred)
• Experience contributing to developer-facing or production systems
• Curiosity and eagerness to learn about AI/LLM application patterns, even if you haven’t worked closely with them yet
• Strong communication skills; comfortable working with engineers in a fast, collaborative environment

Nice to Have

• Exposure to AI tools or workflows (e.g., LangChain, LangGraph, AutoGen, or similar)
• Experience with retrieval systems (vector search, embeddings, or hybrid approaches)
• Familiarity with compiler/static analysis or large-scale refactoring tools
• Interest in customizing or fine-tuning open-weight models
• Knowledge of model-serving or evaluation infrastructure

Why This Role at IMC

• Impact at scale: Your work will help bring AI directly into production developer workflows
• Growth: You’ll gain hands-on experience with cutting-edge AI systems while learning from specialists in AI, systems, and developer productivity
• Collaboration: Join a team that works closely across engineering disciplines to solve high-value, pragmatic problems

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

IMC Trading is seeking quantitative researchers with a proven track record to apply state-of-the-art machine learning & deep learning to solve challenging trading problems. This role is part of a central ML research team that collaborates across trading teams at IMC.  The ideal candidate will have experience working with other researchers and engineers to build and continuously improve models, systems, and research tooling. We firmly believe that success for research-driven efforts lies in bringing together skills in ML, statistics, and trading intuition as well as a problem-solving mindset and pragmatism.  This is an opportunity to dive deep into feature engineering and alpha research, and focus on applying a wide range of ML models as well as to perform research on building custom models.

Your Core Responsibilities:

• Design and deploy machine learning models to enhance trading performance across various asset classes
• Research, test and prototype new algorithmic ideas; deploy advanced ML techniques applicable to market prediction, signal generation, and portfolio optimization
• Collaborate with quantitative traders, researchers, and developers to translate market insights into data-driven features and models
• Manage data acquisition, preprocessing, and feature engineering for structured and unstructured data sources

Your Skills and Experience:

• PhD or Master’s in Engineering, Math, Statistics, Computer Science, or related quantitative field
• 2+ years of experience building applied ML models; previous experience in trading environment preferred
• Proven expertise in developing and deploying predictive models
• Strong programming skills in Python; proficiency in ML libraries such as PyTorch, TensorFlow, and/or high-performance libraries like Jax
• Strong understanding of theoretical foundations of state-of-the-art ML models
• Strong publication track record at ICML, ICLR, NeurIPS, or equivalent
• Ability and desire to work in a collaborative team environment
• Excellent written and verbal communication skills

At IMC, technology is the driving force behind everything we do. Our in-house developed software executes millions of trading decisions each day, enabling us to outperform the competition by making smarter and faster choices.

We're looking for an experienced software developer, with strong communication skills to join our productivity team. The productivity team exists to amplify the effectiveness of trading, research, and engineering teams. Instead of directly building trading strategies, they provide tools, infrastructure, and processes that reduce friction and accelerate delivery. The role requires building robust solutions and solving challenges up and down the tech stack. This team owns the remote development environment used by hundreds of developers and continually tackles bottlenecks in build processes, whether they are impactful one-line fixes or sweeping architectural shifts. The team supports codebases in a variety of languages, including Python, C++, and Java, to improve the daily productivity of hundreds of developers across the globe.

Your Core Responsibilities:

• Scale and advance IMC's trading systems builds and development tooling to support an excellent work environment for developers
• Ensure reliable multi-tenant development environment operations supporting hundreds of concurrent users across global regions
• Troubleshoot potential issues with build infrastructure and implementing improvements
• Design and build infrastructure supporting the development, build, test, and release processes
• Drive adoption of best practices in code health, development productivity, and maintainability

Your Skills and Experience:

• 5+ years of software development experience in Python, Java, and/or C++ required
• Experience with Kubernetes, containerization, and cluster management
• Experience implementing monitoring and alerting systems with tools such as Grafana, Prometheus and observability platforms
• Prior experience with Bazel or other monorepo-build software preferred
• Excellent written and verbal communication skills in interacting with stakeholders across all phases of product design, development, and delivery

IMC Trading is seeking a Senior Quantitative Researcher to join the options quant team. You will join the team as a senior member with the expectation of leading projects and mentoring juniors. Skills and responsibilities listed below.

Your Core Responsibilities:

• Collaborate with the trading and quantitative research team to evaluate existing algorithms
• Combine knowledge of systems, mathematical techniques and trading to identify the best places to improve our trading system
• Rapidly research, test, and prototype new algorithmic ideas, preferably with Python.
• See through the high-quality implementation of ideas to full-scale production trading.
• Mentor graduate quantitative researchers

Your Skills and Experience:

• Ms or PhD in a highly quantitative field
• At least 5 years in financial services or a quantitative environment
• Experience in project or people management
• Strong programming skills, Python, Java or C++ preferred
• Proven success in quantitative modelling and algorithm development
• You have experience with options pricing

#LI-DNP

As a Machine Learning Engineer, you will play a pivotal role in building systems that drive the training and deployment of large-scale ML models across our global operations. You'll collaborate with leading researchers, hardware experts, and software engineers to build robust solutions that maximize the potential of GPU acceleration, distributed computing, and the latest open-source tools. Your work will influence our trading strategies by accelerating experimentation cycles that foster continuous innovation and refinement.

This is a unique opportunity to solve problems at the intersection of advanced machine learning and trading, where your contributions will shape the future of IMC’s technology and trading capabilities.

Your Core Responsibilities: 

• Develop large-scale distributed training pipelines to manage datasets and complex models
• Build and optimize low-latency inference pipelines, ensuring models deliver real-time predictions in production systems
• Develop libraries to improve the performance of machine learning frameworks
• Maximize performance in training and inference using GPU hardware and acceleration libraries
• Design scalable model frameworks capable of handling high-volume trading data and delivering real-time, high-accuracy predictions
• Collaborate with quantitative researchers to automate ML experiments, hyperparameter tuning, and model retraining
• Partner with HPC specialists to optimize workflows, improve training speed, and reduce costs
• Evaluate and roll out third-party tools to enhance model development, training, and inference capabilities
• Dig into the internals of open-source ML tools to extend their capabilities and improve performance

Your Skills and Experience: 

• 5+ years of experience in machine learning with a focus on training or inference systems
• Hands-on experience with real-time, low-latency ML pipelines in high-performance environments is a strong plus
• Strong engineering skills, including Python, CUDA, or C++
• Knowledge of machine learning frameworks such as PyTorch, TensorFlow, or JAX
• Proficiency in GPU programming for training and inference acceleration (e.g., CuDNN, TensorRT)
• Experience with distributed training for scaling ML workloads (e.g., Horovod, NCCL)
• Exposure to cloud platforms and orchestration tools
• A track record of contributing to open-source projects in machine learning, data science, or distributed systems is a plus

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Our US Equity Options business has become one of the leading liquidity-providers in the marketplace. We’ve already created partnerships and business models to facilitate our expansion and we continue to improve our options pricing, particularly in the volatility space. IMC is highly collaborative between traders, quants, and developers so the scope of responsibility involves working with others to identify and describe mispricings, interact with the market, and push forward visibility improvements

Your Core Responsibilities: 

• Maximize revenue by both finding, and then capitalizing on short term mispricing, as well as managing larger positions
• Work closely with our best-in-class research and quant teams to analyze your results and improve your approach
• Take lots of responsibility and ownership early to drive strategies forward and be successful

Your Skills and Experience: 

• Experienced equity options trader with at least 2 years’ experience
• Entrepreneurial mindset with a healthy risk appetite, are competitive by nature, and are a fast decision maker
• Ability to identify patterns and describe them analytically. Preference for relevant tertiary qualifications (graduate or post graduate), with strong academic results
• Passionate about understanding volatility dynamics and willing to immediately act on your opinions to capture market opportunities.
• In tune with the fundamental drivers of stocks we trade and can work effectively with a research analyst team to make decisions

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At IMC, we believe technology is the foundation of our competitive edge — and machine learning is increasingly central to how we trade. Over the past few years, we've been steadily building our machine learning capabilities: developing infrastructure, growing our in-house GPU cluster, deploying models into production, and partnering closely with quant researchers and traders to generate real impact. Now we’re expanding the team, scaling our systems, and accelerating the application of deep learning in our research and execution workflows.  We're looking for a Principal Machine Learning Engineer to help shape the next phase of our platform — influencing architecture, driving best practices, and solving high-leverage problems. You’ll work alongside researchers and technologists to design the systems that power experimentation, training, and deployment of ML models — and help set the direction for how machine learning is done at IMC as we scale. If you’ve built ML infrastructure at scale elsewhere and are looking for a role where your ideas will genuinely help shape our firm’s future — we’d love to hear from you.

Your Core Responsibilities: 

• Design and build end-to-end infrastructure for training, evaluation, and productionization of ML models, working closely with our HPC engineers who manage our on-prem compute cluster
• Influence foundational choices around data access, compute orchestration, experiment tracking, model versioning, and deployment pipelines
• Partner with quant researchers to accelerate iteration cycles, tighten feedback loops, and bring models from prototype to live trading
• Work with researchers to adapt and deploy modern architectures — transformers, state-space models, temporal convolutions, graph neural networks — to noisy, high-frequency financial data. Explore techniques like self-supervised pretraining, representation learning, and cross-sectional modelling where they offer genuine edge
• Shape our approach to reproducibility, continual learning, and production monitoring across a petabyte-scale data environment
• Define standards that create consistency across teams and geographies; mentor engineers and influence technical culture beyond your immediate work
• Keep pace with developments in deep learning research and ML infrastructure; bring ideas from academia and industry into how we work — whether that's new architectures, training techniques, or tooling

Your Skills and Experience: 

• 8+ years of experience building ML platforms or infrastructure at a leading tech company, research lab, or quantitative firm
• A track record of designing and owning large-scale training and inference systems — not just contributing, but architecting
• Deep proficiency in Python, with strong experience in either CUDA or C++
• Hands-on expertise with modern deep learning frameworks (PyTorch, TensorFlow, or JAX) and practical experience implementing architectures like transformers, attention mechanisms, or sequence models
• Strong foundation in deep learning fundamentals: optimization, regularization, loss design, and the trade-offs that matter when training at scale
• Experience with distributed training at scale (Horovod, NCCL) and GPU optimization (cuDNN, TensorRT)
• History of deploying models to production with strong observability, reproducibility, and monitoring practices
• Comfort working across the ML stack from data pipelines to training infrastructure to serving systems

Why This Role: 

• Build, don't inherit — You'll make foundational technology choices in a platform that's still being defined, not maintain someone else's legacy.
• Real investment, real backing — This is a strategic priority with resources behind it, not a side experiment.
• Direct impact on trading — Your infrastructure will power models that make real trading decisions in competitive global markets.
• Global scope — Work with teams across New York, Chicago, Amsterdam, London, Sydney, Hong Kong and beyond; define practices that can scale worldwide.
• Ideas over titles — IMC's culture values clarity, rigor, and collaboration. The best ideas win, regardless of where they come from.
• Tight coupling with research — You won't be building in isolation. Researchers and engineers work side-by-side, iterating together.

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We are seeking a highly analytical and detail-oriented Quantitative Researcher to join our dynamic research team. The ideal candidate will have deep experience curating and analyzing a broad range of trading-related data sources—including traditional market data, fundamental datasets, and other vendor-supplied information. This role will contribute to the development of innovative trading strategies, support data-driven decision-making, and collaborate closely with trading, technology, and data acquisition teams.

Key Responsibilities:

• Curate, cleanse, and validate large volumes of market data, focusing on US equity and equity options
• Integrate, preprocess, and evaluate fundamental & alternative data sources
• Work closely with data acquisition & global data team to assess data quality
• Build and maintain robust data pipelines for research and live trading environments
• Perform data analysis ad statistical modeling to identify patterns and inefficiencies in the market
• Ensure the accuracy, completeness, and timeliness of datasets used in quantitative modeling.
• Document research processes, data provenance, and results with high standards of clarity and reproducibility
• Collaborate with software engineers and traders to translate research into production-grade models and tools
• Conduct quantitative research and analysis to support and enhance trading strategies 

Required Skills & Experience:

• 3+ years of experience in a quantitative research or data-focused role in financial markets, ideally in a systematic trading environment
• Proven experience working with a diverse range of trading and financial data
• Must have previous knowledge of options markets and experience working with options data
• Hands-on experience integrating and analyzing non-market data sources is a plus
• Strong understanding of data vendor landscape
• Advanced proficiency in Python
• Experience with databases (SQL) and handling large datasets efficiently
• Familiarity with real-time data systems and tick-level data processing
• Familiarity with statistical and machine learning techniques
• Exceptional attention to detail and a systematic approach to problem-solving
• Strong written and verbal communication skills

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We’re looking for an experienced and analytical Senior Derivatives Pricing Developer to join our Chicago office. IMC’s Pricing and Risk (PAR) software development team builds the core infrastructure used to price every asset class and facilitate desks to manage risk across each region we trade. These components run on thousands of servers and are deeply embedded in our trading systems.

You’ll work on a mix of quantitative modeling and engineering, helping develop and maintain the systems and libraries that drive real-time decisions across the firm, globally. The work is highly technical, collaborative, and critical to our day-to-day trading.

Your Core Responsibilities

• Build and maintain high-performance numerical algorithms for pricing and risk management across a range of financial products.
• Implement and refine models that capture instrument value and risk under real-world conditions.
• Work closely with traders, quants, and developers across the globe to ensure model outputs are accurate, explainable, and aligned with market behavior.
• Own core components of IMC’s pricing library, used across all desks, globally.
• Write reliable, scalable, and maintainable code in C++ and Java.

Your Skills and Experience

• At least 5 years of experience in a trading or finance environment, working on pricing models or related infrastructure.
• Strong knowledge of options pricing theory or other derivatives modeling.
• Background in mathematics and computer science, or related quantitative fields.
• Proficiency in C++ and/or Java, with a focus on production-quality code and scalable performance.
• Experience collaborating in multi-disciplinary teams, especially with quants, traders, or other highly technical colleagues.
• Strong problem-solving skills and the ability to turn complex ideas into robust, usable systems.
• Experience in implementing numerical algorithms for solving PDEs is strongly preferred.
• Experience in numerical analysis (error propagation, stability analysis, etc.) is a plus.

We’re seeking a Linux Engineer with deep systems expertise and Python/scripting experience to join our growing global team. You will be responsible for engineering and operating Linux at scale across our mission[1]critical environment, while also improving automation and self-service tools that enhance our ability to manage IMC’s servers.

The Linux Engineering team is responsible for the provisioning, configuration, performance, and reliability of a large-scale Linux infrastructure that supports a diverse set of workloads. These include ultra-low latency systems critical to high-frequency trading, as well as high-throughput environments that run research workflows and a wide variety of Kubernetes-based applications. This role requires strong Linux fundamentals applied at scale, with automation as a key enabler for consistency and efficiency across the fleet. Your initiative, collaborative attitude, problem-solving skills, and focus on continuous improvement will help ensure IMC stays competitive by bringing the latest technologies and practices into production.

Your Core Responsibilities

• Apply deep Linux engineering expertise to troubleshoot and resolve complex issues on enterprise systems, ensuring stability and performance
• Enhance configuration management code and processes that we use to manage over 10,000 bare-metal Linux systems globally
• Develop and maintain Python/Bash tools to support large-scale Linux systems management
• Improve provisioning workflows to seamlessly build bare servers into production-ready platforms
• Extend Linux-focused metrics, logging, monitoring, and alerting integrations for full fleet visibility
• Communicate updates and status clearly and frequently with peers and stakeholders through meetings, tracking tickets, code reviews, chats, and merge requests

Your Skills and Experience

• Hands-on Linux systems engineering, administration, and provisioning expertise applied at scale, preferably on bare-metal systems
• Configuration management at scale, preferably on bare-metal servers with Puppet and Hiera
• Python development for automation, APIs, design, testing, and debugging
• Ansible playbook authorship and complex task automation
• RPM design, build, publishing, and in-house repository management
• CI/CD pipelines, Git version control, branching and merging best practices
• Strong system and network troubleshooting with tools such as EBPF, tcpdump, strace, systemd, ntp/ptp, lsof, and nc
• Networking fundamentals: routing, DNS, TCP/UDP/multicast
• Experience building and publishing Docker images
• Working familiarity with Kubernetes
• Exposure to monitoring stacks such as Prometheus, Grafana, and AlertManager, with a focus on Linux telemetry and exporter development
• Bachelor’s degree in Computer Engineering or a related field, or equivalent professional experience

IMC is seeking a highly skilled C++ Software Engineer to join our Chicago team. As a Software Engineer, you will design and develop software solutions tailored to the hardware-specific needs of our global trading system with a focus on optimizing performance. Our dynamic, fast-paced tech environment enables collaboration and rapid feedback loops across global teams. You will be responsible for spotting new opportunities, solving problems and developing innovative technologies. Software development here is innovative, pragmatic and fun, even as complexity grows.

Your Core Responsibilities: 

• Design and build low latency, high-performance trading systems
• Optimize production code and other system components to achieve low-latency and high-throughput capabilities 
• Write highly performant software solutions to control and interface with hardware components such as ASICs and FPGAS
• Work closely with hardware engineers and cross-functional teams to understand requirements and implement effective solutions
• Ensure a seamless integration of new applications and enhancements to the existing trading infrastructure 

Your Skills and Experience: 

• Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or related field of study
• 2+ years of professional experience using modern C++ in a low-latency environment  
• Experience with software development for hardware platforms 
• Knowledge of trading systems and financial markets is a strong plus 
• Excellent problem-solving and communication skills 

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IMC is seeking experienced quantitative professionals to join our US Equity Options market-making business. We are a leading scaled liquidity provider in US equity options, operating a large-scale systematic trading platform spanning thousands of underlyings. Our platform integrates quantitative research, trading strategy development, and production engineering within a collaborative, non-siloed environment across trading, research, and development teams.

This role focuses on improving how automated trading decisions are designed, evaluated, and deployed in live markets. You will work at the intersection of quantitative research, execution, and risk management to enhance pricing quality, execution performance, and overall system robustness. Improvements influence the broader platform rather than a single seat, providing meaningful ownership and impact from day one. Compensation is competitive and aligned with individual contribution.

Your Core Responsibilities: 

• Develop and refine quantitative models that improve pricing, execution, and risk management.
• Analyze large-scale market and trading datasets to identify structural improvements.
• Design, test, and deploy strategy enhancements into production systems.
• Collaborate closely with traders, researchers, and engineers to iterate on live trading logic.
• Contribute to scalable solutions that impact a broad universe of equity options products.
• Drive research from idea generation through backtesting, implementation, and real-time monitoring.

Your Skills and Experience: 

• 3+ years of experience in quantitative research, systematic trading, or market microstructure-focused roles.
• Experience working with exchange-traded products, ideally equity options.
• Strong understanding of market structure and trading system behavior.
• Demonstrated ability to conduct rigorous analysis on large, real-world datasets.
• Strong programming skills (Python required; C++ or similar preferred).
• Experience integrating research into production trading systems.
• Background in statistics, probability, time series analysis, or optimization is strongly preferred.

Salary

$250,000

Technical Product Manager

IMC is building the next generation of trader facing tools, and we are looking for a Product Manager to help lead that effort. Technology sits at the heart of how we trade, and these applications are not support systems. They are the primary interface traders use all day, every day, to see the market, make decisions, and execute.

This role sits directly at the intersection of trading and engineering. You will help reimagine how our tools work from the ground up, shaping workflows, visualizations, and interactions where speed and clarity matter. In many cases, a single click or extra second can be the difference between capturing an opportunity or missing it. Your work will have immediate and measurable impact on trading performance.

You will play a central role in a major reinvestment in our trading platform, with real ownership, high visibility, and the chance to define how traders interact with the market at IMC for years to come.

Your Core Responsibilities

• Partner closely with traders to understand daily workflows, decision making, and trading patterns
• Work with engineering teams to design, build, and iterate on high performance GUIs
• Translate trader insights and business needs into clear product goals, priorities, and requirements
• Own initiatives end to end, from problem definition and scoping through delivery, iteration, and adoption with development teams
• Obsess over workflow efficiency, recognizing that every click, keystroke, and visual element matters
• Identify opportunities to share common patterns and tools across desks, but also decide when it makes sense to deviate
• Communicate product direction, priorities, risks, and progress clearly to trading, engineering, and related teams
• Surface dependencies and risks early, see them before they become blockers

Your Skills and Experience

• Experience owning and driving complex products that are the central focus of a user’s daily work
• Background in trading, financial markets, trading systems, or closely related domains is ideal but not required
• Strong intuition for how users interact with tools under time pressure, and how design choices affect decision making
• Enough technical depth to work effectively with engineers and reason about systems, data flows, and tradeoffs
• Demonstrated ability to turn ambiguous problems into clear direction and execution
• Clear and effective communicator across disciplines

IMC is seeking experienced Network Engineers who are passionate about building and operating cutting-edge, high-performance networks. You’ll work closely with traders, developers, quants, and performance engineers to design, implement, and support the infrastructure that powers our trading business.

Responsibilities:

• Design, implement, and support the North American networking environment. Core areas include low-latency networking, unicast and multicast routing, BGP, PIM-SM, performance tuning, gap analysis, and automation.
• Monitor and analyze network health using existing tools while contributing ideas and development toward next-generation monitoring solutions.
• Continuously improve the environment by contributing to automation efforts (e.g., Bash, Python, Ansible, AWX).
• Maintain precise documentation of IMC’s network architecture, configurations, and operational procedures.
• Collaborate with external vendors, exchanges, and service providers to evaluate technology options, deploy new services, and troubleshoot issues.

Requirements:

• 8+ years of dedicated network engineering experience
• Exceptional troubleshooting capabilities across Ethernet LAN, unicast/multicast routing, switching, packet analysis
• Experience with diverse network switching hardware platforms
• Hands-on scripting/automation experience (Python, Ansible, etc.) strongly preferred
• CCIE or CCNP certification is a plus
• Experience in trading or financial services highly preferred

While this is a hybrid position, we expect an in-office presence in our Chicago office 3-4 times per week.

IMC is looking for experienced quantitative researchers to develop systematic futures trading strategies. Candidates will join a well-resourced effort combining IMC’s extensive options trading expertise with systematic strategies in the underlying futures market. Candidates will be responsible for performing large scale data analysis, utilizing modern machine learning techniques to derive forecasts that will be combined with IMC’s best-in-class technology platform for execution in futures markets.

Once on board, candidates will join a growing team that will be essential to all aspects of IMC’s trading.  They will contribute not only to signal generation but also work w/ developers in design and implementation of a robust research framework that allows for new ideas to be researched, tested, and put into production in a timely manner. 

Your Core Responsibilities:

• Conduct alpha / signal / feature research targeted at intraday futures trading strategies — from hypothesis generation through rigorous data analysis.
• Quickly prototype, backtest, and evaluate new trading ideas, using large-scale and high-frequency market data.
• Collaborate with developers, traders, and fellow researchers to design and implement a robust research-to-production pipeline. Once validated, see ideas through to full-scale deployment.
• Monitor and refine existing strategies, continuously evaluating performance, risk, and edge decay — and iterating to maintain or improve profitability.
• Explore and integrate new data sources, alternative data sets, and market microstructure signals to expand the research toolbox.
• Contribute to defining the strategic direction of research initiatives, including tooling, data infrastructure, and methodology improvements.

Your Skills & Experience

• Advanced degree (MSc, PhD, or equivalent) in a quantitative or technical discipline (Mathematics, Statistics, Physics, Computer Science, Financial Engineering, or similar).
• Several years (5+ Years) of quantitative research experience, preferably in systematic trading, futures, HFT, or related high-frequency / high-throughput environments.
• Demonstrable track record of generating predictive signals in futures / derivatives / systematic trading.
• Excellent programming skills (e.g., Python, C++, or other relevant languages), and comfort working with large datasets and real-time data feeds.
• Strong statistical background, with experience in statistical modeling, time-series analysis, machine learning / ML-based approaches, and understanding of overfitting risk.
• Deep interest in market dynamics, high-frequency trading, and understanding of microstructure, order flow, and volatility — with an ability to translate that into actionable research.
• Strong analytical thinking, problem-solving skills, and a practical “business orientation”: able to assess strategy viability, robustness, and real-world performance.
• Excellent communication and collaboration skills — able to work effectively across teams (developers, traders, researchers).

IMC Trading is seeking a Machine Learning Research Lead with proven experience applying state-of-the-art machine learning to solve challenging trading problems.  This role will drive the development of a centralized ML environment to be used across all areas of trading at IMC.  The ideal candidate will have experience working with other researchers, traders, and engineers to build and continuously improve a research platform to drive innovation via ML. We firmly believe that success for research-driven efforts lies in bringing together skills in ML, statistics and trading intuition as well as a problem-solving mindset and pragmatism.  This is an opportunity to dive deep into feature engineering and focus on applying a wide range of ML models as well as to perform research on building custom models.

Your Core Responsibilities:

• Lead the design, development, and deployment of machine learning models to enhance trading performance across various asset classes
• Research, test and prototype new algorithmic ideas; deploy advanced ML techniques applicable to market prediction, signal generation, and portfolio optimization
• Collaborate with quantitative traders, researchers and developers to translate market insights into data-driven features and models
• Oversee data acquisition, preprocessing, and feature engineering for structured and unstructured data sources
• Mentor junior researchers and contribute to a culture of research excellence and experimentation
• Drive strategic decisions on model architecture, experimentation pipelines, and infrastructure for scalable research

Your Skills and Experience:

• PhD or Master’s in Engineering, Math, Statistics, Computer Science, or related quantitative field
• 4+ years of experience building applied ML models; previous experience in trading environment preferred
• Proven expertise in developing and deploying predictive models in low-latency environments
• Strong programming skills in Python; proficiency in ML libraries such as PyTorch, TensorFlow, and/or high-performance libraries like Jax
• Strong understanding of theoretical foundations of state-of-the-art ML models
• Prior people management experience preferred
• Ability and desire to work in a collaborative team environment
• Excellent written and verbal communication skills

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