Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems.   

As a Risk Manager, you will be part of Jump Trading's Global Risk Management team. The department manages moment-to-moment risk for all trading teams and is responsible for evaluating new trading strategies, markets, and products. Furthermore, the risk team is responsible for working with Core Development and Technology teams to advance the firm's internal risk layer, metrics, and reporting. This position is ideal for seasoned professionals with strong risk management expertise, technical skills, and proven experience operating at a high bar within high-pressure environments. 

What You’ll Do: 

• Serve as the NYC go-to operational risk partner: set and monitor exposure limits and guardrails with front office and Global Risk; operate existing controls and alerting; investigate, escalate, and document exceptions. 
• Monitor factor/sector and liquidity/correlation exposures across strategies and firm-level aggregates using firm-provided tools; collaborate with Market Risk and front office to review scenario/stress outputs, align on assumptions, and communicate practical implications. 
• Perform daily and intraday risk monitoring to identify and escalate material exposures, concentrations, anomalies, and control exceptions across regions. 
• Apply practical US equity market microstructure knowledge to inform monitoring, limits, controls, and scenarios. 
• Liaise with internal partners and external prime brokers, clearing firms, and exchanges on margin/financing, locates, market access controls, and corporate actions. 
• Triage trade-lifecycle issues (trade capture, allocations, reconciliations, market data, connectivity) with Trading, Operations, Clearing, Treasury, Technology, and Compliance.  
• Use Python/SQL/Excel to query firm datasets and automate light reporting where helpful. 
• Other duties as assigned or needed to ensure smooth business operations. 

Skills You’ll Need: 

• At least 7 years in equities-focused risk or trading across developed/emerging markets. 
  • Cash equities most preferred. Equity derivatives and index products also useful. 
• Bachelor’s degree required; including a strong academic record. 
• Operational risk fluency across the trade lifecycle, prime brokerage/clearing (margin/financing), short inventory/locates, market access controls, and exchange connectivity/trading systems. 
• Factor literacy: experience consuming outputs from factor models (e.g., Barra, Axioma) and common measures (e.g. VaR) to interpret and communicate risk. 
• Practical US equity market microstructure knowledge and how it informs monitoring, limits, controls, and scenarios. 
• Python, SQL, experience with Bloomberg, and advanced Excel required for querying firm datasets, validation, ad hoc analysis, and light automation. 
• Ability to communicate in a way that is crisp, credible at the desk, effective with traders and technologists, and calm under pressure.  
• Reliable and predictable availability, including onsite presence in New York with flexibility for occasional off-hours support. 

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems.

Core Development is a global team of technologists who architect, build and maintain our world-class trading platform. From optimizing our core trading engine to building custom hardware, we leverage software & hardware engineering, data science and research, to deliver the infrastructure and tools that drive our trading and business needs.

Software Engineers within Core Development design, build and test the infrastructure, tools and systems that drive Jump’s business. They collaborate extensively with traders, quantitative researchers and technologists across the organization to solve difficult technical problems ranging from CPU architecture and operating systems to networking and hardware. We look for strong problem solvers who are passionate, inquisitive and enjoy collaborating with others in a fast-paced and energetic environment.

Skills You’ll Need:

• At least 4+ years of modern C++ development experience in a Linux environment
• Strong understanding of computer systems e.g. operating systems, networks, and performance optimization
• Experience in Object-Oriented design and multi threaded programming
• Experience in creating/supporting cross-platform multi threaded applications
• Strong analytical and problem solving skills
• Ideally some experience in developing low latency systems
• Bachelor's degree in Computer Science, Computer Engineering or related field

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems.  

As a Risk Manager, you will be part of Jump Trading's Global Risk Management team. The department manages moment-to-moment risk for all trading teams and is responsible for evaluating new trading strategies, markets, and products. Furthermore, the risk team is responsible for working with Core Development and Technology teams to advance the firm's internal risk layer, metrics, and reporting. This position is ideal for candidates with strong risk management expertise, technical skills, and proven experience operating at a high bar within high-pressure environments. 

What You’ll Do: 

• Serve as an onsite go-to operational risk partner: set and monitor exposure limits and guardrails with front office and Global Risk; operate existing controls and alerting; investigate, escalate, and document exceptions. 
• Monitor cross-asset exposures and key risk dynamics using firm-provided tools; collaborate with Market Risk and front office to review scenario/stress outputs, align on assumptions, and communicate practical implications. 
• Perform daily and intraday risk monitoring to identify and escalate material exposures, concentrations, anomalies, and control exceptions across regions. 
• Liaise with internal teams and external brokers, clearing firms, and exchanges on margin/financing, market access controls, and operational topics. 
• Triage trade-lifecycle issues (trade capture, allocations, reconciliations, market data, connectivity) with Trading, Operations, Technology, Treasury, and Compliance; support post-trade workflow improvements. 
• Use Python, SQL, and Excel to query firm datasets and automate light reporting where helpful; keep documentation current. 
• Coordinate risk initiatives across regions and support follow-the-sun handoffs. 
• Other duties as needed to ensure smooth operations. 

Skills You’ll Need: 

• At least 4 years in a risk or trading role at a proprietary trading firm, multi-strategy hedge fund, asset manager, or investment bank. 
• Hands-on experience in at least one major liquid asset class (e.g., Equities, Futures, FX, Rates, or Options) with a strong desire to expand cross-asset coverage. 
• Bachelor’s degree with a strong academic record; CFA/FRM or similar credentials are a plus. 
• Operational risk fluency across the trade lifecycle, market access controls, exchange connectivity; familiarity with prime brokerage/clearing and margin/financing is helpful. 
• Comfortable consuming outputs from risk models and measures (e.g., VaR, beta, factor exposures, stress scenarios) to interpret and communicate risk; not a model builder. 
• Technical skills: Python, SQL, and advanced Excel for querying, validation, ad hoc analysis, and light automation; Bloomberg or similar tools are a plus. 
• Communication and composure: crisp, credible at the desk, effective with traders and technologists, and calm under pressure. 
• Onsite presence in Chicago or New York with flexibility for occasional off-hours support; comfortable with competing priorities and frequent context-switching.
• Reliable and predictable availability. 

HPC Data Center Production Engineer
Location: Chicago or New York (On-site 5 days/week)
Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems.
Trading Infrastructure is a global organization of Engineers who architect, build and maintain our world-class infrastructure. From colo design/implementation, to optimizing our exchange connectivity, to building world class low latent Wide Area Networks, we leverage research and automation to consistently adapt and innovate our infrastructure to scale and drive our trading and evolving business.
We are looking for an HPC Data Center Production Engineer to build and own the automation and tooling that powers Jump's HPC data center operations. This is a development-heavy role focused on automating the onboarding and lifecycle management of data center hardware—servers, switches, rack PDUs, CDUs, and environmental sensors—and building tools for capacity planning, outage simulation, monitoring, and metrics integration. You will work hand-in-hand with the HPC Planning, Engineering, and Operations leads to turn tooling and monitoring vision into production-ready systems. Heavy, daily use of AI tools is expected to accelerate development and raise the quality bar on everything you build.
What You'll Do:
Hardware Onboarding Automation

• Design, develop, and maintain automation to onboard new hardware devices into Jump's HPC data centers, including servers, network switches, rack PDUs, CDUs, and environmental sensors.

• Build end-to-end provisioning workflows that take hardware from racked-and-cabled through discovery, configuration, validation, and production-ready state with minimal manual intervention.

• Extend and adapt onboarding automation as new hardware platforms and device types are introduced.
  Data Center Tooling Development

• Develop tools for power and cooling capacity planning—enabling the operations and planning teams to model current utilization, forecast growth, and identify constraints before they become problems.

• Build outage simulation tooling to model the impact of power, cooling, or network failures across HPC facilities and validate redundancy/failover configurations.

• Develop and maintain operational tooling that supports day-to-day data center workflows such as hardware lifecycle tracking, data center inventory/spares, change management, and diagnostics.
  Monitoring & Metrics Integration

• Build and maintain monitoring integrations for HPC data center infrastructure—pulling telemetry from servers, switches, PDUs, CDUs, environmental sensors, and facility systems into centralized observability platforms.

• Integrate metrics feeds from colocation and data center providers into Jump's monitoring stack, normalizing data for alerting and capacity reporting.

• Work with the Operations Lead to implement the monitoring and alerting strategy, translating requirements into deployed, production-grade instrumentation.
  Cross-Team Collaboration

• Work very closely with the HPC Planning, Engineering, and Operations leads to understand tooling and monitoring needs and bring their vision to fruition.

• Partner with HPC Engineering on integration points between data center automation and compute/storage/network provisioning systems.

• Translate operational pain points and manual processes into automated, maintainable solutions.
  Systems Maintenance & Reliability

• Own the reliability and lifecycle of all systems and tools you develop—monitor for failures, respond to issues, and iterate based on operational feedback.

• Maintain comprehensive documentation for all tooling, automation workflows, and integrations.

• Participate in large, coordinated maintenance operations, including during evenings and weekends.
  AI-Driven Development

• Use AI tools daily across all aspects of the role: writing and reviewing code, analyzing data, debugging, generating documentation, and accelerating development velocity.

• Identify opportunities to apply AI to data center operations problems—anomaly detection, predictive capacity planning, intelligent alerting, and beyond.
  Additional duties as assigned or needed.
  Skills You'll Need:

• 5+ years of professional experience in production engineering, infrastructure automation, or site reliability engineering, preferably in HPC or large-scale data center environments.

• Proven track record of building and shipping production automation and tooling—not just scripts, but maintained, reliable systems.

• Experience automating hardware provisioning and lifecycle management (servers, network devices, power/cooling infrastructure).

• Strong understanding of data center infrastructure: power distribution, cooling systems (air and liquid), environmental monitoring, and structured cabling.

• Experience integrating with hardware management interfaces (IPMI/BMC/Redfish, SNMP, vendor APIs) for discovery, configuration, and telemetry collection.

• Demonstrates a high level of energy, results driven, and able to work under pressure with tight deadlines.
  Technical Skills:

• High proficiency in Golang and at least one additional language (e.g., Python). You will write a lot of code in this role.

• Strong Linux systems knowledge—you should live in Linux. Proficient with system administration, networking, storage, process management, log analysis, and troubleshooting at the OS level.

• Experience with Grafana for building dashboards, alerting, and visualization of infrastructure metrics. Experience with Prometheus, InfluxDB, or similar observability platforms and building custom integrations/exporters.

• Experience with configuration management and infrastructure-as-code tools (SaltStack, Ansible, Terraform, or similar).

• Solid understanding of networking concepts: L2/L3 protocols, VLANs, BGP, SNMP, and switch/router configuration (Arista, Cisco).

• Experience with APIs and data integration—consuming vendor APIs, normalizing heterogeneous data sources, building data pipelines for metrics and reporting.

• Experience with ClickHouse and MySQL—writing queries, designing schemas, and building tooling that reads from and writes to these databases.

• Experience with GitHub for version control, code review, CI/CD workflows, and collaborative development.

• Demonstrated heavy use of AI tools (e.g., LLM-based coding assistants, AI-driven analytics) in a professional setting. You should already be using AI daily and be eager to push its application further.

• A compulsion to perform root cause analysis.

• Excellent written and verbal communication skills with the ability to work across a global engineering team.

• Extremely high personal standards for work quality.

• Reliable and predictable availability, including ability to work evenings and weekends as required.

• Bachelor's degree preferred.

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incentivizing collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems.

Jump’s Client Market Making business provides clients with direct access to our liquidity across a wide range of asset classes in all market conditions. Leveraging our proprietary pricing platform, we deliver fully customizable and disclosed liquidity solutions designed to meet the unique needs of each of our clients.

As a Trading Services Specialist in our Client Market Making business, you will play a key role in onboarding clients, supporting global platform operations, and collaborating with business development, product, technology, and back-office teams to enhance the client experience.

This role is based in either Chicago, Illinois or New York, New York.

What You'll Do:

• Manage the entire client onboarding process including connectivity, session setup, conformance testing, and pilot trades.
• Monitor and resolve production issues to ensure a seamless client trading experience.
• Collaborate with developer and production reliability engineer teams to identify workflow and system issues, document/prioritize tickets, and deliver solutions.
• Partner with trading, product, and sales teams to turn client requests into actionable roadmap items.
• Create and maintain clear up-to-date documentation that enables team-wide knowledge sharing.

Skills You Need:

• Bachelor’s degree with demonstrated experience in a fast-paced, client-facing trading environment.
• 3 to 6 years of relevant experience working with trading systems, order entry protocols, market data protocols, troubleshooting technical issues and providing production support.
• Strong understanding of the client onboarding lifecycle, including FIX protocol, conformance testing, and network routing.
• Product expertise in at least one asset class (e.g., FX, CFDs, equities, fixed income).
• Proven ability to successfully lead and complete technical projects.
• Experience with data analysis using tools like Python (Pandas, NumPy), SQL, or KDB+.
• Flexibility to collaborate across time zones, including occasional off-hours work.

Benefits include:

• Private Medical, Vision and Dental Insurance
• Travel Medical Insurance
• Group Pension Scheme
• Group Life Assurance and Income Protection Schemes
• Paid Parental Leave
• Parking and Commuter Benefits

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems.

Our AI team is a central R&D group comprised of quantitative researchers, engineers, and ML experts leading LLM research and applications at Jump. Our mission is to combine emerging techniques and models with original research to generate signals from unstructured data.

What You’ll Do: 

We are seeking research scientists with a demonstrated ability to apply machine learning to achieve state-of-the-art capabilities in complex and challenging domains. The ideal person for this role will be capable of leading an open-ended research project from concept to production: finding compelling problems well suited to current and projected LLM capabilities, collaborating extensively with trading teams to understand requirements and constraints, and continuously improving model design, tools, and infrastructure. Potential projects may target any area of the quantitative research process with the potential for firmwide application. We believe that successful research efforts require a fluid mix of skills including ML expertise, engineering pragmatism, and market intuition, and welcome all candidates who can demonstrate brilliance in one area, competence in a second, and enthusiasm for the third.

Other duties as assigned or needed.

Skills You’ll Need:

• 5+ year track record of creating ML systems with real metrics & impact in industry and/or academia
• Strong general ML background with some exposure to language modeling architectures (e.g. transformers, SSMs)
• Solid development skills in Python and/or C++
• Familiarity with ML libraries/frameworks such as PyTorch (preferred), TensorFlow, and/or JAX
• Intellectual curiosity, versatility, and originality combined with a pragmatic outlook
• Ability to reason through quantitative problems and communicate effectively with trading researchers
• Reliable and predictable availability

Bonus Points

• Experience with HPC and distributed large model training
• Experience with GPU performance optimization (CUDA or ROCm)
• Experience with end-to-end model development, especially in LLMs
• Prior academic publications and/or contributions to open-source AI research
• Strong opinions on best practices in ML research, tooling, and/or infrastructure

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems.

Jump's infrastructure team is a global organization of Engineers who architect, build, and maintain our world-class infrastructure. From colocation design and implementation, to optimizing exchange connectivity, to building low-latency wide area networks and world-class HPC research clusters, we leverage research and automation to consistently innovate and scale our infrastructure to drive our trading and evolving business.

We are looking for an experienced Electrical Engineer to lead the electrical engineering design and oversight of Jump's mission-critical HPC data center infrastructure. This role takes responsible charge of power system design, from medium voltage distribution through high-density rack-level delivery, across new builds, expansions, and ongoing operations. You will establish electrical design standards, perform engineer-of-record duties, and work closely with mechanical, structural, and technology teams to ensure integrated, resilient system design for our high-performance computing environments.

What You'll Do:

Electrical System Design & Standards
- Lead the electrical engineering design for Jump's critical HPC data center infrastructure projects, taking responsible charge for overall project delivery and technical excellence.
- Design/Review plans for  complex power systems including generator plants, medium voltage distribution, uninterruptible power systems, automatic transfer systems, and redundant power architectures for mission-critical facilities.
- Develop initial electrical system concepts and establish design standards, specifications, and criteria for data center projects.
- Perform calculations, equipment selection, equipment specification, system design, and system layout for high-density computing environments.
- Produce high-quality technical deliverables including drawings, specifications, and reports consistent with Jump requirements and industry standards.

Engineer of Record & QA/QC
- Perform Engineer of Record duties and assume responsible charge for electrical discipline deliverables.
- Serve as engineer of record for electrical power striping from RPPs/busways to device cabinets, ensuring correct phase balancing, circuit allocation, and redundancy across high-density HPC environments.
- Participate in QA/QC processes and technical reviews of work produced by team members and external partners.
- Conduct due diligence reports, gap analyses, and feasibility studies for new data center sites and expansions.

Project & Team Leadership
- Lead multi-discipline project teams and coordinate with mechanical, structural, and technology teams to ensure integrated system design.
- Establish and manage project budgets, schedules, and resource allocation for assigned projects.
- Mentor and train junior engineers while providing technical leadership and guidance.

Construction & Field Operations
- Perform field investigations, construction administration, and commissioning oversight.
- Process and review RFIs, change orders, bulletins, and addenda during construction phases.
- Evaluate existing site conditions and provide detailed assessment reports.

Vendor & Stakeholder Management
- Interface with colocation providers, contractors, equipment vendors, and manufacturers throughout the project lifecycle.
- Support business development activities and maintain relationships with key stakeholders.

AI-Driven Engineering
- Use AI tools daily to accelerate design work, perform calculations, analyze power data, draft documentation, and improve engineering workflows.
- Identify opportunities to apply AI across electrical design and operational processes.

Codes, Standards & Continuing Education
- Maintain current knowledge of electrical codes, industry standards, and emerging technologies relevant to data center design.
- Stay current with LEED principles and their application to data center environments.

Additional duties as assigned or needed.

Skills You'll Need:

- Bachelor's degree in Electrical Engineering or Architectural Engineering with electrical building systems emphasis from an accredited university.
- Professional Engineer (PE) license required.
- EIT credential required if PE not yet obtained.
- Minimum 7+ years experience designing electrical systems for mission-critical facilities, data centers, or high-performance computing environments, preferably in a consulting or end-user engineering capacity.
- Proven track record as lead project engineer capable of directing technical teams and managing complex projects.
- Experience interacting with clients, contractors, architects, and cross-functional project teams.
- Demonstrates a high level of energy, results driven, and able to work under pressure with tight deadlines.
- Excellent written and verbal communication skills with ability to interface with technical and non-technical stakeholders.
- Strong project management skills including proposal writing, budget management, and stakeholder relations.
- Attention to detail, highly organized, self-starter with ability to manage multiple projects simultaneously.

Technical Skills:

- Expert knowledge of electrical systems including medium/low voltage distribution, emergency power systems, UPS systems, and grounding.
- Experience with data center-specific requirements including redundancy levels (N, N+1, 2N), concurrent maintainability, fault tolerance, and high-density power distribution.
- Proficiency with Revit and AutoCAD MEP for electrical design and Building Information Modeling (BIM).
- Ability to read and review floor plans, sections, elevations, and visualize systems in 3D space.
- Strong working knowledge of electrical codes and standards (NEC, NFPA, IEEE).
- Understanding of LEED principles and their application to data center environments.
- Programming/scripting experience (Python preferred) is a plus.
- Demonstrated heavy use of AI tools (e.g., LLM-based assistants, AI-driven analytics) in a professional setting. You should already be using AI daily and be eager to push its application further.
- Extremely high personal standards for work quality.
- Reliable and predictable availability, including the ability to work evenings and weekends as required.

HPC Infrastructure Planner Lead

Location: Chicago or New York (On-site 5 days/week)

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems.

Trading Infrastructure is a global organization of Engineers who architect, build and maintain our world-class infrastructure. From colo design/implementation, to optimizing our exchange connectivity, to building world class low latent Wide Area Networks, we leverage research and automation to consistently adapt and innovate our infrastructure to scale and drive our trading and evolving business.

We are looking for an experienced HPC Infrastructure Planner Lead to oversee the full portfolio of infrastructure projects across our high-performance computing environment. In this role, you will own project prioritization and reporting, manage contractor relationships and schedules, and support new data center lease efforts. While this is a leadership and planning-focused position, you must also be able to step in and directly plan and drive projects when needed. If you have a strong background in infrastructure project planning, vendor and contractor management, and working in fast-paced global teams, join us to lead the delivery of world-class infrastructure solutions.

What You'll Do:

Project Portfolio Management

• Oversee and manage the full portfolio of HPC infrastructure projects, ensuring alignment with business priorities and timely delivery.

• Drive prioritization of infrastructure projects based on business impact, resource availability, and technical dependencies.

• Step in to directly plan and execute infrastructure projects as needed, including scoping, scheduling, resource allocation, and stakeholder coordination.

Reporting & Visibility

• Provide high-level project reporting and status updates to leadership, maintaining visibility into progress, risks, and resource needs across all active projects.

Contractor & Vendor Management

• Manage contractor relationships end-to-end, including contract negotiations, schedule coordination, performance oversight, and relationship management.

• Work with major IT vendors to troubleshoot and resolve implementation and operational issues.

Data Center Planning & Lease Support

• Assist with new data center lease evaluations, including space planning, power requirements, and facility readiness assessments.

• Oversee the successful implementation of new compute, storage, and network infrastructure within HPC environments.

AI-Driven Planning

• Must actively use AI tools in day-to-day work to drive efficiency in project planning, reporting, analysis, and operational workflows. AI fluency is a core expectation of this role.

Additional duties as assigned or needed.

Skills You'll Need:

• Significant experience managing infrastructure projects in HPC or large-scale data center environments.

• Proven ability to oversee multiple concurrent projects and prioritize effectively based on business needs.

• Experience managing contractors and vendors, including contract oversight, schedule management, and performance accountability.

• Strong understanding of data center operations, including space planning, power, cooling, and structured cabling.

• Familiarity with HPC infrastructure, including compute, storage, and high-performance networking (InfiniBand, Ethernet).

• Experience with project planning tools and methodologies for infrastructure deployments.

• Previous experience demonstrating strategic thinking skills and maturity in tackling complex problems, dealing with people, technology, and processes.

• Good judgment, ability to evaluate short and long-term impact, and confidence to select and execute decisions when required and take full responsibility for end results.

• Demonstrates a high level of energy, results driven, and able to work under pressure with tight deadlines.

• Excellent communication skills, both written and verbal, with the ability to provide clear project reporting to leadership and work across a global engineering team.

Technical Skills:

• Experience planning and operating high-density/HPC data center environments, including power, cooling, space, and structured cabling considerations.

• Strong understanding of networking concepts, configuration, and troubleshooting. A qualification like CCNA is great; equivalent experience is also fine.

• Experience working at the command line of Linux systems, including system administration and troubleshooting.

• Proficiency with scripting languages (such as Python) for automation and operational efficiency.

• Extremely high personal standards for work quality.

• Reliable and predictable availability.

• Bachelor's Degree in Information Technology, Computer Science, or related field preferred.

HPC Infrastructure Operations Lead

Location: Chicago or New York (On-site 5 days/week; regular travel to HPC data center sites required)

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems.

Trading Infrastructure is a global organization of Engineers who architect, build and maintain our world-class infrastructure. From colo design/implementation, to optimizing our exchange connectivity, to building world class low latent Wide Area Networks, we leverage research and automation to consistently adapt and innovate our infrastructure to scale and drive our trading and evolving business.

Jump's HPC infrastructure powers some of the most demanding computational workloads in the industry. As our HPC footprint grows, we need a seasoned operations leader to own the reliability, standards, and day-to-day excellence of these environments. This role leads the teams that keep the lights on across Jump's HPC data centers, ensuring maximum uptime through disciplined operations, proactive maintenance, and deep technical expertise in critical facility systems. Heavy, daily use of AI tools is expected in this role—to accelerate decision-making, automate operational workflows, analyze data center telemetry, and continuously raise the bar on how the team operates.

What You'll Do:

Team Leadership & Organizational Ownership
- Lead and manage data center site leads and their teams across multiple HPC facilities; site leads report directly to this role.
- Recruit, mentor, and develop team members while conducting performance reviews and building a culture of operational rigor.
- Direct onsite contractors by providing clear scope and validating completed work.

HPC Data Center Standards, Processes & Preventative Maintenance
- Develop, document, and enforce operational standards and procedures for Jump's HPC data centers covering power, cooling, cabling, and hardware lifecycle.
- Design and own the preventative maintenance program, including scheduled inspections, component replacements, and firmware/capacity reviews to minimize unplanned downtime.
- Drive continuous improvement of operational processes and pursue automation—including AI-driven approaches—to reduce manual effort and human error.

Critical Facility Systems Expertise
- Serve as the subject matter authority on HPC data center power distribution, power striping strategies, and failover/redundancy configurations.
- Own expertise across air cooling, liquid cooling (direct-to-chip, rear-door, CDU-based), and hybrid cooling architectures.
- Maintain deep knowledge of environmental monitoring and controls (temperature, humidity, airflow, leak detection) and ensure systems remain within design parameters.

Monitoring & Incident Response
- Own the HPC data center monitoring strategy end-to-end: define what is monitored, set alerting thresholds, and ensure comprehensive visibility into facility and hardware health.
- Leverage AI tools to analyze telemetry data, identify failure patterns, predict potential issues, and accelerate root cause analysis during incidents.
- Lead critical incident response and drive root cause analysis and corrective actions to prevent recurrence.
- Establish and track operational KPIs including availability, mean time to repair, and efficiency metrics.

Server & Switch Hardware Expertise
- Maintain deep, hands-on knowledge of server hardware architectures including multi-socket platforms, GPU/accelerator configurations, memory subsystems, NVMe/storage controllers, BMC/IPMI management, and firmware lifecycle.
- Maintain deep, hands-on knowledge of network switch hardware including line cards, optics/transceivers, switch fabrics, and platform-specific diagnostics for Arista and Cisco platforms.
- Evaluate new hardware platforms, drive hardware qualification and acceptance testing, and provide informed recommendations on hardware selection.

Hardware Break-Fix
- Own the overall hardware break-fix function across all HPC sites, ensuring rapid diagnosis and resolution for servers, GPUs, network equipment, storage, and facility infrastructure.
- Diagnose complex hardware failures at the component level—CPUs, DIMMs, GPUs, NICs, PSUs, fans, drives, switch line cards, and optics—and direct the team to resolve efficiently.
- Establish escalation paths, SLA targets, and reporting for hardware failures.

Inventory & Spares Management
- Own inventory processes and spares tracking across all HPC facilities, ensuring critical spares are stocked, tracked, and replenished to meet availability targets.
- Maintain accurate asset records for all serialized and consumable inventory.

Planning, Vendor & Budget Management
- Conduct capacity planning for space, power, cooling, and cabling to stay ahead of growth.
- Gather requirements and plan new hardware installations including physical placement, power/cooling needs, and cabling.
- Manage relationships with colocation providers and hardware vendors; negotiate contracts and SLAs.
- Develop and manage operational budgets for equipment, staffing, and facilities.

Networking & Linux
- Possess strong working knowledge of networking concepts including L2/L3 protocols, VLANs, BGP, OSPF, LACP, ECMP, and high-performance fabrics relevant to HPC environments.
- Understand network architectures such as spine-leaf, fat-tree, and high-radix topologies used in HPC clusters.
- Maintain strong Linux systems knowledge—comfortable navigating and troubleshooting at the OS level, including storage, networking, process management, log analysis, and system diagnostics.

AI-Driven Operations
- Use AI tools daily across all aspects of the role: writing and reviewing documentation, analyzing operational data, drafting procedures, managing communications, and problem-solving.
- Champion AI adoption within the team—set the expectation that every team member integrates AI into their daily workflows.
- Identify and implement opportunities where AI can replace or augment manual operational processes.

Cross-Team Partnership
- Partner with HPC Engineering, Network Engineering, and other teams to align operations with research and business needs.
- Ensure compliance with all safety, security, and regulatory requirements.

Travel
- Travel regularly to Jump's HPC data center sites for operational oversight, project execution, and team engagement. This is a core requirement of the role.

Additional duties as assigned or needed.

Skills You'll Need:

- Minimum 7+ years of data center operations experience with at least 3 years leading teams in 24/7 critical infrastructure environments. HPC environment experience strongly preferred.
- In-depth knowledge of data center power systems, power distribution/striping, and failover/redundancy architectures.
- In-depth knowledge of cooling technologies including air cooling, liquid cooling (direct-to-chip, rear-door heat exchangers, CDUs), and environmental control systems.
- Proven experience building and maintaining preventative maintenance programs and operational standards/procedures.
- Strong experience with data center monitoring platforms (DCIM, BMS, environmental sensors) and defining monitoring/alerting strategies.
- Demonstrates a high level of energy, results driven, and able to work under pressure with tight deadlines.

Technical Skills:

- Deep knowledge of server hardware architectures: multi-socket platforms, GPU/accelerator systems, memory subsystems, NVMe storage, BMC/IPMI, and firmware management.
- Deep knowledge of network switch hardware: line cards, optics/transceivers, switch fabrics, and platform diagnostics across Arista and Cisco platforms.
- Proven hardware break-fix experience with the ability to diagnose failures at the component level (CPUs, DIMMs, GPUs, NICs, PSUs, drives, line cards, optics).
- Strong understanding of networking concepts: L2/L3 protocols, VLANs, BGP, OSPF, LACP, ECMP, and HPC network topologies (spine-leaf, fat-tree).
- Strong Linux systems proficiency—well beyond basic CLI usage. Comfortable with OS-level troubleshooting, storage and network configuration, process management, log analysis, and system diagnostics.
- Experience managing inventory and spares programs for critical infrastructure.
- Structured cabling standards expertise.
- Programming/scripting experience (Python preferred) is a plus.
- Demonstrated heavy use of AI tools (e.g., LLM-based assistants, AI coding tools, AI-driven analytics) in a professional setting. You should already be using AI daily and be eager to push its application further across operations.
- Strong project management skills with multi-site infrastructure deployment experience.
- Knowledge of industry standards including ASHRAE and TIA-942.
- Excellent written and verbal communication skills with the ability to communicate effectively across technical and non-technical audiences.
- Meet physical requirements including working on ladders/elevated platforms and lifting up to 50 lbs.
- Extremely high personal standards for work quality and operational discipline.
- Reliable and predictable availability, including ability to work evenings and weekends as required.
- Willingness and ability to travel regularly to data center sites.
- Bachelor's degree preferred.

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems.

As a Data Strategist within our Data Strategy Group, you will be part of a team that is responsible for finding, validating and increasing the overall awareness and effectiveness of external datasets as it relates to trading at Jump. The ideal candidate will thrive in connecting business objectives with data-driven solutions, ensuring data is leveraged effectively to deliver insights, drive alpha, and sustain a competitive advantage. For this role, we are looking for someone to own and evolve our broker data relationships as well as support our macro-sourcing efforts.

What You’ll Do:

• Own and evolve Jump’s broker data landscape. Serve as the primary point of contact for a network of brokers and research providers, managing and growing those relationships to maximize value from each partnership.
• Lead end‑to‑end discovery, evaluation, commercial negotiation, and onboarding of new broker datasets, coordinating closely with Legal, Compliance, Technology, and investment teams.
• Contribute to a broader understanding of the sell‑side landscape, including emerging content offerings, product updates, and market developments.
• Support the macro sourcing efforts by working directly with researchers and other members of the Data Strategy team to translate their needs into concrete data requirements and communicate dataset availability, scope, and limitations.
• Leverage your data domain expertise and technical skills to perform in-depth assessments of data sets with a focus on data integrity, coverage and differentiation.
• Create and cultivate relationships with vendors to proactively identify and capitalize on emerging data opportunities that drive strategic advantages.

Skills You'll Need:

• 8–10+ years of experience in a data‑driven role within a hedge fund, asset manager, bank, or data/analytics provider.
• Strong understanding of global financial markets, with a particular interest in macro and multi‑asset trading.
• Direct exposure to broker data and research products (e.g., estimates, flow data, research content, macroeconomic or policy data).
• Proven ability to manage external relationships and navigate commercial, licensing, and usage rights discussions.
• Hands‑on experience working with complex datasets and technical delivery mechanisms (APIs, SFTP, data platforms, entitlements).
• Strong collaboration and relationship-building skills to work effectively across multiple business units within the firm.
• Excellent communication skills and a track record of partnering effectively with both investment and technology teams.
• Highly organized, entrepreneurial mindset, with comfort owning initiatives end‑to‑end in a fast‑paced environment.

If you’re excited about shaping how a leading quantitative trading firm discovers and uses broker and macro data — and you enjoy working with both data and people — we’d be excited to meet you.

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incentivizing collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems.

• You'll contribute to one or more of the following projects:
  • Production Trading Systems and Live Operations: Own the reliability, observability, and operational performance of the firm’s live trading environment during market hours. Monitor live systems in real time, act as a primary responder to production issues, and work closely with quantitative researchers and engineers to investigate, mitigate, and resolve incidents affecting trading, risk, or system stability.
  • Production Tooling, Deployment, and Operational Safety: Build and improve internal tools, dashboards, alerts, and automation to support live trading operations and reduce manual intervention. Design and maintain robust testing, deployment, rollout, and rollback processes for production changes, and strengthen production safety through health checks, failover mechanisms, and operational controls.
  • Microstructure research: Develop tools to enhance research on market microstructure, collaborating with researchers to generate and analyze key features.
  • Data Pipeline and System Management: Engage in full-cycle development, including research, coding, testing, and deploying systems into production. Provide direct support to end users, troubleshoot issues, and manage system upgrades.

• 2+ year track record of solving challenging problems through coding with real metrics & impact in industry.
• Strong software development skills in Python and/or C++, with the ability to build efficient, modular, and reliable systems.
• Strong production engineering skills in Linux environments, including troubleshooting, scripting, monitoring, and operating real-time systems under pressure.
• Experience with modern infrastructure and deployment practices such as CI/CD, Infrastructure as Code, containerization, and observability tooling is advantageous (e.g. GitLab, Jenkins, Terraform, Ansible, Docker, Kubernetes, Prometheus, Grafana).
• Strong learning ability, intellectual curiosity, versatility, and originality combined with a pragmatic outlook.
• Ability to reason through quantitative problems and communicate effectively with quantitative researchers and engineers.
• Reliable and predictable availability to ensure smooth operations of production systems, including responsiveness during trading hours when needed.
• Over two years of experience working with industrial-grade codebases using compiled languages such as C++ is advantageous.
• Familiarity with high-performance computing (HPC) and distributed large-scale systems is a plus.

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems.

The quantitative trading teams at Jump Trading probe and examine the global markets, seeking to understand the complexities of various traded products and exchanges. They leverage their impeccable statistical analysis, machine learning and deep learning skills, using the results of their research to make forecasts and develop profitable predictive trading models.

What You’ll Do: 

We are seeking research scientists with a demonstrated ability to apply deep learning to achieve state-of-the-art capabilities in complex and challenging domains. The ideal person for this role will be capable of implementing an open-ended research project from concept to production and continuously improving model design, tools, and infrastructure. Potential projects may target any area of the quantitative research and monetization process. We believe that successful research efforts require a fluid mix of skills including ML expertise, engineering pragmatism, statistics and market intuition.

Other duties as assigned or needed.

Skills You’ll Need:

• 5+ years of experience in developing DL systems with measurable impact in industry and/or academia
• Creative thinkers who are driven, self-motivated, and eager to solve challenging problems
• Proficiency in Python and/or C++
• Strong foundation in mathematics and statistics
• Ability to thrive in a collaborative, team-oriented environment
• PhD, or Master's degree in Computer Science, Mathematics, (or related subject)
• Strong publications record at ICML, ICLR, AAAI, NeurIPS, UAI, KDD, or equivalent
• Reliable and predictable availability
• Excellent written and verbal communication skills in English

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems.

What You’ll Do

We are seeking an AI Adoption Engineer to serve as the primary technical partner for Jump’s back office teams, including Finance, Legal, HR, and other non-trading functions, as they integrate AI into their day-to-day work. This role sits at the intersection of AI research, infrastructure, and core business applications. As a hands-on AI expert, you will pair with developers and AI champions across the firm to identify high-value use cases, build solutions using Jump's internal AI platform, and work closely with R&D and infrastructure to unlock new capabilities as needed. You will own the full lifecycle of back office AI solutions, from discovery and stakeholder conversations to prototyping, deployment, and ongoing iteration, while establishing best practices for prompting, agent design, evaluation, robustness, and responsible AI use.

We believe that driving successful adoption across the firm requires a fluid mix of technical depth, product intuition, and genuine curiosity about how business teams operate. We welcome candidates who demonstrate knowledge of current best practices, follow new patterns closely as they emerge, experiment often, and are equally comfortable working with technical and non-technical stakeholders. The ideal person for this role is confident in the immediate and measurable benefits of well-designed AI applications. They are eager to build, but equally happy to teach, and capable of applying new techniques and technologies within a responsible, secure, and scalable framework.

Other duties as assigned or needed.

• 2+ years of professional software engineering or applied AI experience
• Strong proficiency in Python, with hands-on experience integrating LLM APIs, building AI-powered applications, or working with agent/automation frameworks
• Demonstrated ability to work directly with non-technical or semi-technical business stakeholders, translating ambiguous problems into clear, actionable solutions
• Excellent communication and interpersonal skills
• Comfort explaining complex technical concepts to diverse audiences and building trust across teams
• Strong analytical and problem-solving skills with a bias toward simplicity and usability
• Familiarity with core software engineering fundamentals
• Ability to work smoothly across a range of technical environments (Mac, Windows, and Linux) as needed
• Bachelor's degree in Computer Science, Computer Engineering or related field
• Reliable and predictable availability

Benefits include:

• Private Medical, Vision and Dental Insurance
• Travel Medical Insurance
• Group Pension Scheme
• Group Life Assurance and Income Protection Schemes
• Paid Parental Leave
• Parking and Commuter Benefits

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems.

Trading Infrastructure is a global organization of engineers who architect, build and maintain our world-class infrastructure. From colo design/implementation, to optimizing our exchange connectivity, to building world class low latent Wide Area Networks, we leverage research and automation to consistently adapt and innovate our infrastructure to scale and drive our trading and evolving business.

Being part of our Network Infrastructure Team, you'll get a chance to work on one of the highest performance networks in class with some of the brightest minds in the industry. We are looking for exceptional talent to help us take our infrastructure to the next level.

What You'll Do:

• Design, configure and support our global network infrastructure, collaborating across multiple teams to optimize for proprietary low latency trading applications.

• Support and troubleshoot a hybrid wireless and wired high performance network environment

• Take an automated, data driven approach to diagnosing and solving complex network infrastructure issues such as micro-bursting, jitter and queuing.

• Leverage automation skills and take a “dev ops” approach to improve efficiency of network management, deployment and maintenance of propriety trading applications.

• Own and project manage global network initiatives from requirements gathering, design review, implementation, deployment and documentation

• Other duties as assigned or needed.

Skills You'll Need:

• At least 5+ years of networking experience

• At least 1+ year of scripting experience (Python preferred) and expertise with GIT and REST or JSON

• Experience supporting a large-scale global network environment

• Advance knowledge and troubleshooting of IP networking, TCP/ IP

• Advance knowledge of Switching, Routing (BGP, OSPF) and Multicast (IGMP, PIM)

• Experience working with one or more of the following hardware platforms (Cisco, Mellanox, Arista) 

• Experience working with automation tools (ie, Ansible)

• Experience with databases and big data tools (i.e. MySQL, PostgreSQL, Splunk, InfluxDB, Grafana).

• Experience with monitoring tools (i.e. Icinga, Splunk, Kapacitor).

• Strong Linux Shell (all utilities) experience

• Strong written and verbal communication skills 

• Proven ability operating in a fast paced environment

• Collaborative approach to complex problem solving, with a positive can-do attitude.

• Reliable and predictable availability

• CCIE certification or equivalent experience

• Bachelor’s Degree (preferably in Information Technology)

• Previous experience demonstrating strategic thinking skills and maturity in tackling complex problems, dealing with people, technology and processes