Jobs at Jump Trading Group

Supports U.S. HR and Talent Development operations across onboarding, employee lifecycle administration, data reporting, process improvement, and early-career programs. Coordinates intern and new-graduate cohorts, leadership programs, scheduling, communications, surveys, and feedback processes. Maintains Workday and tracking-system data, improves workflows using technology and AI, and collaborates with Recruiting, Legal, Compliance, Workplace Services, and other partners while handling sensitive information.

Manage month-end close, general ledger integrity, reconciliations, variance analysis, intercompany and equity accounting, consolidations, audit and tax support, and financial reporting across multiple legal entities. The role also focuses on process improvement, automation, accurate GAAP-compliant records, and supporting finance AI initiatives. It is based in Chicago with at least four office days per week.

Build and maintain scalable data systems that normalize vendor and proprietary market data for trading and research. Calculate bars, residuals, curves, volatility surfaces, greeks, and other derived analytics from streaming and large-scale datasets. Collaborate with traders, researchers, vendors, and APAC teams; provide production support, document technical methodologies, and develop thoroughly tested solutions.

Supports EMEA HR Operations and HR Business Partner teams across onboarding, Workday administration, benefits, payroll coordination, employment verifications, compliance, employee lifecycle transactions, reporting, and process improvement. Manages employee-facing HR queries, benefits data, vendor communications, audits, policy updates, and documentation while partnering with Payroll, Legal, Compliance, Recruiting, Talent Development, and business leaders.

Build and maintain scalable data platforms and systems that transform raw market data into validated analytical datasets, including bars, residuals, curves, volatility surfaces, and greeks. Collaborate with trading, research, and external vendor teams to understand datasets and workflows, implement calculations, document technical solutions, and ensure reliable delivery through strong testing and validation practices.

Build and maintain centralized, validated data platforms covering reference, fundamental, market, index, exchange, instrument, and security master datasets. Analyze vendor data, design scalable data models, implement quality controls, resolve processing issues, and partner with quantitative researchers and traders. Provide technical leadership and mentorship while maintaining testing and system design standards across the Core Data team.

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.

Support a New York trading team by operating and improving production trading infrastructure. Responsibilities include ensuring market connectivity and data availability, monitoring and resolving failed jobs, stabilizing and optimizing pipelines, improving ML and GPU workload performance, developing and testing systems, deploying upgrades, troubleshooting user issues, and maintaining rollout and rollback 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.

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

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

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

Provide Level 1 technical support for Windows and Mac systems, mobile devices, office hardware, peripherals, and basic network connectivity. Set up laptops, desks, monitors, and other equipment; assist employees, guests, and candidates; document procedures; and escalate complex issues to higher-level Tech Services staff. This fully in-office role requires strong customer service, organization, troubleshooting ability, flexibility, and occasional travel to other offices.

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.

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