Jobs at Jump Trading Group

Source, map, evaluate, and promote alternative datasets for trading research. Responsibilities include identifying vendors, tracking market trends, vetting dataset quality and use cases, writing vendor summaries, maintaining data pipelines and catalogs, representing Jump with vendors, and communicating emerging opportunities. The role requires alternative-data market knowledge, vendor contacts, Excel proficiency, familiarity with privacy and compliance issues, and strong organization and writing skills.

Manage US employee lifecycle processes in Workday, including onboarding, organizational changes, data integrity, reporting, employment verifications, and exits. Deliver new hire orientation, maintain HR policies and handbooks, support payroll and benefits cycles, monitor downstream integrations, and improve and document scalable HR workflows. Partner with Legal, HR business partners, payroll, benefits, and people operations teams while handling sensitive employee information.

Manage global logistics for technology equipment, including procurement, importing, exporting, shipping, receiving, inventory, installation coordination, vendor performance, purchase orders, invoice reconciliation, and equipment liquidation. The role ensures cost, quality, delivery, compliance, and service expectations while coordinating internal stakeholders and third-party shipping providers.

Design, implement, test, and optimize C++ trading algorithms and market order execution systems. Collaborate with traders, quantitative researchers, and engineers to develop innovative strategies, improve trading platform performance, and optimize resource and hardware utilization. The role requires strong analytical, problem-solving, testing, communication, and teamwork skills, along with experience deploying large-scale data processing or modeling systems on high-performance computing clusters.

Build and maintain global infrastructure systems, monitoring and observability tooling, real-time packet and flow analysis, configuration automation, and resilient deployment platforms. The role combines systems engineering and software development, requiring deep debugging of complex software stacks, streaming architecture expertise, CI/CD and Kubernetes experience, and a strong focus on reliability, efficiency, and operational excellence.

Coordinates recruiting operations, including candidate interview scheduling, applicant tracking system updates, interview-day support, pre-employment paperwork review, candidate travel arrangements, and profile maintenance. Partners with HR and global recruiting teams on candidate experience, recruiting strategies, and employer branding. Requires strong organization, communication, data entry, attention to detail, and proficiency with Microsoft Office and Greenhouse or similar recruiting systems.

Lead a proprietary data analysis team supporting researchers, traders, and engineers. Coordinate priorities, define projects, ensure data quality, coach analysts, and personally solve complex data problems. Manage collection, tagging, cleaning, documentation, and validation of alternative, fundamental, market, and reference data. Partner with engineers to automate workflows while maintaining human review of AI-driven pipelines. Communicate findings and project status to technical and non-technical stakeholders.

Build and improve research and production infrastructure for quantitative trading. Develop Python and C++ systems, libraries, backend services, and workflow tooling for strategy research, testing, and deployment. Improve performance, algorithmic efficiency, scalability, and distributed compute capabilities while partnering with quantitative researchers and traders. Own projects through design, implementation, testing, rollout, and ongoing enhancement.

Own ASIC verification from planning through sign-off by translating requirements into test strategies, building reusable testbenches and verification infrastructure, driving coverage and regression closure, debugging hardware and software issues, and improving automation and CI workflows. Collaborate with architecture, RTL design, implementation, software, and trading teams to deliver thoroughly validated designs and right-first-time silicon.

Build and maintain LLM-powered, agent-based tools that automate developer and quantitative researcher workflows. Collaborate with platform and infrastructure teams to deliver scalable solutions, applying prompt engineering, tool integration, access controls, and observability. Own projects from prototyping through deployment, rollout, and documentation while promoting strong engineering standards. The role requires Python, LLM API integration, AI application development, Linux, networking, and software engineering fundamentals.

Legal Counsel will advise trading, treasury, risk, clearing, and business teams on derivatives transactions, financing arrangements, regulatory matters, and commercial contracts. The role involves negotiating ISDA, prime brokerage, futures and OTC clearing, repo, and electronic trading agreements; identifying regulatory risks; supporting business initiatives across global offices; and managing internal legal projects. The position is onsite in Hong Kong and requires Hong Kong or comparable legal admission, Mandarin proficiency, and substantial Asia-Pacific derivatives experience.

Own end-to-end delivery of complex technical projects supporting trading platforms, execution infrastructure, and quantitative research tooling. Coordinate engineers, researchers, and traders; manage timelines, dependencies, risks, milestones, and stakeholder communication. Improve project management practices within an engineering-driven environment and ensure reliable delivery in a fast-moving, low-latency setting.

Design, operate, and improve high-performance wireless networks for financial markets. Responsibilities include monitoring and telemetry platforms, device integrations, RF path design, frequency coordination, wireline and optical transport, link commissioning, incident response, production change management, regulatory research, site development, and automation. The role requires Python, Linux, networking, RF expertise, rigorous operational practices, international travel, and participation in a global on-call rotation.

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.

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.