Jobs at Jump Trading Group

Design, build, and improve platforms and services that support the business. Develop tools, systems, and infrastructure with cross-functional teams. Improve scalability, reliability, and performance of production systems and strengthen core systems to increase engineering productivity.

Conduct BI research and analysis to produce actionable insights for trading and business decisions. Build and support data pipelines and enterprise BI analytics; partner with developers, researchers, and trading teams; perform post-trade statistical analysis; communicate findings across technical and non-technical stakeholders.

The specialist designs and delivers early career talent programs, collaborates with various departments, and manages intern onboarding and feedback processes.

Lead statutory and management reporting for multiple European entities, own monthly close and reconciliations, prepare statutory financials and audits, manage intercompany settlements, support NetSuite group ledger reconciliations, broaden EU coverage, and drive finance automation and AI initiatives to improve reporting efficiency.

Seeking an AI Research Scientist to lead machine learning projects, collaborating with teams to apply innovative methods in financial markets.

As an HPC Operations Engineer, you'll provide operational support for Linux HPC environments, troubleshoot issues, manage vendor relationships, and work on automation and performance monitoring.

As a Research Engineer, you'll develop large-scale foundation models for financial market predictions, focusing on infrastructure, data pipelines, and architectural innovations in ML training.

Build and improve core trading platforms and research infrastructure, collaborate with quantitative researchers and technologists, enhance scalability and performance of production systems, and increase team productivity as business expands into new markets.

Monitor live trades, produce market analysis, provide traders with insights, build datasets, and handle operational incidents to support trading activities.

Own and improve the production trading environment: monitor and troubleshoot large-scale trading systems and exchange connectivity, build DevOps tooling for deployment, configuration, and monitoring, coordinate incidents and changes with traders and risk teams, manage operational risk, document procedures, and mentor other SREs.

Develop, deploy, and maintain production trading platforms. Collaborate with quantitative researchers to build research and trading infrastructure, troubleshoot and monitor production systems, support end users, and automate deployment, configuration, and validation tasks.

Design, deploy, and maintain large-scale HPC compute and storage systems. Troubleshoot performance and faults, build automation and packaging tooling, implement monitoring, collaborate with researchers, participate in maintenance windows, and manage vendor relationships including travel.

As a Quantitative Developer, you will develop and maintain trading systems, support end-users, and enhance research and trading infrastructure.

Quantitative Researchers analyze data sets, identify patterns, and develop predictive trading models while collaborating with various stakeholders in trading strategies.

Quantitative Researchers analyze large data sets to identify patterns in financial markets, developing profitable trading models through statistical analysis and machine learning.

The Data Engineer will build and maintain datasets and pipelines, ensuring data quality and optimizing workflows, partnering with traders and researchers for analytics.

As a Risk Manager, you will monitor trading risks, set exposure limits, collaborate with teams, and use analytics tools for reporting and analysis.

The role involves applying deep learning in quantitative research to enhance trading models, requiring creativity and strong collaboration skills.

Develop deep learning systems for quantitative trading, conducting research from concept to production while enhancing model design and tools.

Design, implement, maintain, and support large-scale HPC compute, storage, networking, monitoring, and scheduling systems. Build tooling, automate deployments, profile and debug application stacks, collaborate with researchers, participate in coordinated maintenance and on-call rotations, and manage vendor relationships including domestic and international travel.