Jobs at IMC Trading

This position is an opportunity to fill a form for future job matching after the ASPLOS Conference with IMC Trading.

Identify and engage experienced ML and quantitative research talent through creative sourcing channels, build pipelines, perform market mapping, partner with recruiters and hiring managers, and track sourcing metrics to inform hiring strategy.

Serve as a strategic HR advisor to NYC business leads, driving talent strategy, performance coaching, engagement, data-driven insights, change initiatives, employee relations, and cross-HR collaboration to improve retention, development, and organizational effectiveness.

As a Technical Product Manager, you will lead the development of trader-facing tools, collaborating with traders and engineers to enhance workflows and decision-making tools in trading.

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

The Lead UX Designer will define user interactions, enhance trading tools through research, and create efficient workflows, working closely with engineers and researchers.

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

This role involves ensuring system continuity in trading operations, developing automation tools, and improving system performance in a trading environment.

Support researchers and ML engineers to optimize and scale HPC workloads on CPU/GPU infrastructure. Analyze performance, diagnose bottlenecks across storage, networking, and schedulers, implement profiling and benchmarking, influence platform design, and define best practices for shared compute environments while ensuring security and compliance.

Maintains physical servers, network devices, cabling, racks, and IT infrastructure across colocation data centers. Responsibilities include installations, hardware troubleshooting, vendor RMAs, inventory and shipments, documentation, rack optimization, and coordination with colocation and remote-hands teams. The role also supports office IT infrastructure, requires local travel between facilities, occasional flexible hours, and the ability to lift up to 60 pounds.

Operate and maintain the Performance Team's data platform: ensure reliability, correctness, and performance of ETLs and pipelines; implement quality checks, alerting, runbooks, and automation; troubleshoot GitLab CI/CD and resource bottlenecks; continuously tune workloads for efficiency.

Develop and maintain high-performance algorithms for pricing and risk management, collaborate with traders and quants, and ensure accurate model outputs.

As a Software Engineer, you will develop trading algorithms, collaborate with teams, and maintain the trading platform, leveraging your programming skills and problem-solving abilities.

As a Quantitative Developer, you will develop systems for research and production, execute backtesting, and optimize strategies while collaborating with teams.

Build analytical tools, dashboards, and data pipelines to measure and optimize risk across trading businesses. Partner with Risk Managers and cross-functional teams to design, develop, and deploy production systems for exposure analysis, scenarios, capital, liquidity, and other risk factors.

Partner with traders, quants, and engineers to identify, monitor, and manage market, credit, capital, and operational risks for Delta One and exchange-traded products. Develop quantitative risk methodologies, build Python-based risk tools and reporting, evaluate new strategies, and drive improvements to risk frameworks and automation.

10-week in-person internship partnering with Quant Researchers to explore research ideas, build analysis tools, learn options theory and market making, receive mentorship and professional development, and compete for a full-time Graduate Quant Researcher role.

Curate, cleanse, validate, and maintain large US equity and options datasets; integrate fundamental and alternative data; build data pipelines for research and trading; perform statistical and ML analysis to identify market patterns; document data provenance and collaborate with engineers and traders to deploy production-grade models.

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

Develop, evaluate, and deploy machine learning models for real trading environments; apply rigorous statistical techniques to measure performance, control overfitting, and assess model risk and interpretability; collaborate with traders and developers; maintain best practices and production-ready systems.