Jobs at Jump Trading Group

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

Design and build high-performance, low-latency trading UIs. Partner with traders and stakeholders to iterate quickly, prototype, and deliver production-grade front-end systems. Create modular, extensible platform components, contribute to backend integrations, debug production issues, and improve architecture, performance, usability, and reliability across real-time trading tools.

Manage end-to-end APAC payroll operations with external vendors, administer benefits, maintain HRIS data in Workday, support employee lifecycle tasks, ensure data integrity and compliance, update policies in Confluence, and contribute to HR process improvements and projects.

Own end-to-end reconciliation of dividend and coupon income across global markets and asset classes. Investigate and resolve breaks, collaborate with internal teams and counterparties, identify recurring patterns, document procedures, produce ad hoc reporting on trends and resolution metrics, and partner with technology to scale and automate reconciliation processes.

Design, implement, and troubleshoot low-latency network infrastructure across global data centers. Use automation and monitoring to diagnose issues, support wired/wireless high-performance networks, communicate impacts to traders and developers, document processes, and collaborate with global teams to maintain trading application availability.

Design and optimize trading algorithms, test accuracy, improve trading platform performance, and collaborate with team members.

As a Quantitative Researcher, you'll analyze data sets, develop predictive models, and collaborate with teams to advance trading strategies.

Quantitative Researchers analyze data sets to identify patterns and apply findings to predictive trading models, collaborating across teams.

As a Quantitative Developer, you will develop and maintain research infrastructure, enhance trading systems, and collaborate on machine learning and portfolio optimization projects.

As a Data Scientist in Post Trade Analytics, you'll analyze data to enhance trading performance, develop algorithms, and collaborate with trading teams.

Lead the design and delivery of a comprehensive learning curriculum and AI-driven learning strategy, while evaluating program effectiveness and facilitating engaging learning experiences.

Quantitative Researchers analyze diverse data sets to uncover market patterns and develop forecasts for equity markets within a collaborative trading environment.

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.

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

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.

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

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.

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.

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.

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