Jobs at Jump Trading

• Work in a hybrid Systems Engineer / Software Developer capacity on Jump’s internal systems that manage the global infrastructure and colocation footprint
• Architect, build and maintain streaming monitoring tooling, high performance / real-time packet and flow analysis systems, configuration management and automation frameworks

• Currently pursuing a PhD in Statistics, Mathematics, Physics, Machine Learning, or any highly quantitative field
• Systematic research thinking: the ability to form well-educated hypotheses, design rigorous tests, and draw statistically sound, generalizable conclusions. No matter your area, these are the fundamental aspects of a good researcher, and it is no different at Jump Trading.

• Own the end-to-end delivery of technical projects spanning trading platforms, execution infrastructure, and quant research tooling — from scoping through launch.
• Partner with engineers, quantitative researchers, and traders to translate ambitious goals into clear plans, milestones, and measurable outcomes.

• Build and run the monitoring and mapping platforms that give the team a live view of the network, including the telemetry pipelines that collect and baseline link performance (RSSI, SNR, BER), the alerting that fires off them, and the interfaces engineers actually work in.
• Write device control and protocol integrations for amplifiers, radios, controllers, and power s...

• Month-end close. Drive our month-end close, managing central processes that span a multitude of legal entities and jurisdictions, preparing and posting activity and owning critical reconciliations across systems and data that ensure our books tell an accurate, GAAP-compliant story with strong controls.

• Working with a variety of datasets, provide a scalable, centralized, validated representation of data for consumers to utilize.
• Review and understand various datasets leveraging vendor documentation, liaising with external vendors as needed to better understand data.

• Working with a variety of datasets, provide a scalable, centralized, validated representation of data for consumers to utilize.
• Review and understand various datasets leveraging vendor documentation, liaising with external vendors as needed to better understand data.

• 5+ years of experience developing reinforcement learning and/or deep learning systems with measurable impact in industry and/or academia
• Depth in reinforcement learning, including experience designing reward formulations, policy architectures, and evaluation, and taking RL methods from research into production

• After onboarding, serve as the primary operational point of contact during U.S. trading hours for the team's global production environment
• Monitor end-to-end trading workflows, including market connectivity, data availability and quality, and scheduled model and optimization processes

• Proven experience in developing successful quantitative driven strategies
• Strong market expertise in one of the following products: equity options, ADRs, ETFs, index

• Support the daily management of US financing portfolios, borrow rates, sourcing of locates and refinancing of the firm’s equity and credit portfolios
• Manage collateral and margin operations, ensuring the firm’s obligations are met efficiently across counterparties

• At least 5+ years of professional experience with Python building large-scale distributed systems
• Experience working on a Linux platform

• Discretionary bonus eligibility

Medical, dental, and vision insurance

HSA, FSA, and Dependent Care options

Employer Paid Group Term Life and AD&D Insurance

Voluntary Life & AD&D insurance

Paid vacation plus paid holidays

Retirement plan with employer match

Paid parental leave

Wellness Programs

• At least 4+ years of professional experience building web-based UIs
• Extensive experience with React, TypeScript, WebSocket protocols, REST, and UI unit-testing

• Discretionary bonus eligibility

Medical, dental, and vision insurance

HSA, FSA, and Dependent Care options

Employer Paid Group Term Life and AD&D Insurance

Voluntary Life & AD&D insurance

Paid vacation plus paid holidays

Retirement plan with employer match

Paid parental leave

Wellness Programs

• Apply state-of-the-art techniques to complex and challenging domains.
• Work closely with researchers and quants to build flexible and reusable frameworks for financial ML.

• Match with a trading team and own a research project end to end, in areas such as predictive modeling, alpha research on new datasets, and improving the models and systems behind live trading
• Collect, clean, and explore large datasets (some clean, some noisy, some very noisy) and engineer features that turn raw data into predictive signal

• Apply state-of-the-art techniques to complex and challenging domains.
• Work closely with researchers and quants to build flexible and reusable frameworks for financial ML.

• Systems Engineer interns will work with traders, operations, exchanges, and developers to optimize the trading environment and investigate and solve system issues.
• Proactively monitor the overall health and performance of the trading platform

• Apply state-of-the-art techniques to complex and challenging domains.
• Work closely with researchers and quants to build flexible and reusable frameworks for financial ML.