Jump Trading Tech Stack

Algorithmic trading infrastructure and market-making systems

Financial Services Chicago, Illinois 1,001–5,000 employees Privately Held

Jump Trading operates a high-performance trading platform across multiple asset classes and geographies using a C++-heavy, low-latency compute stack (C++, Python, HPC clusters via Slurm, Lustre, GPFS) paired with ML infrastructure (PyTorch, NumPy, SciPy, Pandas). The engineering and research hiring mix—split between performance optimization, compliance automation, and portfolio research—reflects an organization scaling platform reliability and clearing operations as much as trading signal generation.

Tech Stack 48 technologies

Core StackC++ Python Linux Pandas NumPy Go AWS Kubernetes MATLAB C# Workday Confluence PyTorch SQL Excel SciPy Polars R Citrix Virtual Desktops PowerShell Windows Microsoft Office Windows 11 macOS HPC Lustre GPFS Slurm Word PowerPoint+18 more

What Jump Trading Is Building

◆Challenges

Automation of processes
Improving platform performance
Improving scalability of production systems
Maintaining production trading environment
Trade reconciliation breaks
New business onboarding
Scaling project delivery & reporting capabilities
Low latency
Reducing manual errors
Monitoring trading desk compliance

▲Active Projects

Regional assistance for apac portfolio finance projects
New business onboarding
Back-office infrastructure improvement
Trading infrastructure
Implementing compliance controls for equity trading
Post-trade analyses
High-performance trading platform
Mixed frequency research group
Portfolio trading research
Daily clearing activities

Hiring Activity

Steady50 roles · 15 in 30d

Department

Engineering

Research

Finance

Data

Ops

Legal

Security

Seniority

Senior

Mid

Intern

Junior

Lead

Manager

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About Jump Trading

Jump Trading is a proprietary trading firm headquartered in Chicago with 13 offices across 8 countries, operating across equities, derivatives, and other asset classes. The firm employs traders, engineers, and researchers to build and operate trading systems at scale. Active projects center on trading infrastructure hardening (low-latency platforms, back-office systems, compliance controls), portfolio research across mixed frequencies, and operational scaling (clearing, reconciliation, new-counterparty onboarding). Current pain points include production system reliability, trade reconciliation automation, and scaling reporting and delivery capabilities. The organization maintains active student recruitment and mentorship programs.

HeadquartersChicago, Illinois

Company Size1,001–5,000 employees

Hiring MarketsChina, United States, Singapore, Australia, Japan, Netherlands, United Kingdom, India

Frequently Asked Questions

What tech stack does Jump Trading use?

C++, Python, PyTorch, NumPy, SciPy, Pandas, Go, R, MATLAB. Infrastructure: AWS, Kubernetes, HPC (Slurm, Lustre, GPFS). Productivity: Workday, Confluence, Windows 11, macOS.

What is Jump Trading working on?

High-performance trading platforms, trading infrastructure, portfolio research (mixed frequency), back-office systems, compliance automation (equity trading controls), post-trade analysis, and clearing operations. Also scaling internal reporting and new counterparty onboarding.