The intern will research trading algorithms, enhance existing strategies, analyze market data, create analytical tools, and contribute to supportive libraries.

The role involves designing test artifacts, performing end-to-end testing, maintaining test environments, and collaborating with global teams for software deployment.

As a Founding Engineer, you will drive the core product's engineering from the ground up, focusing on ML engineering in a startup environment.

Design and implement a high-frequency trading platform; optimize latency; develop access to market data and trading simulations; create analysis tools and performance tracking.

As a Senior Quantitative Researcher, you will analyze large data sets, build statistical models, implement trading strategies, and develop quantitative research tools.

Develop Python tools for trading strategies, improve simulation frameworks, monitor research jobs, and collaborate with global research teams.

The Trading Systems Support Analyst provides support for OMS and market data systems, works with traders, enhances Python frameworks, and manages system health reporting.

The Market Data Strategist will identify, source, and enhance external datasets, manage data usage, and collaborate with trading and engineering teams, while ensuring compliance with market data policies.

Design and maintain efficient trading systems and tools, manage multiple tasks, collaborate cross-functionally, and implement scalable solutions.

Develop and implement code for low latency trading systems, perform production monitoring, automate tasks and build risk management tools.

Oversee risk for Americas trading, enhance trading controls, conduct analysis, and collaborate across teams to manage operational risk.

The Quantitative Researcher analyzes large data sets and builds statistical models for market behavior, implementing trading strategies and scalable research methods.

Provide level one and two support for trading applications, execute automation efforts, monitor system health, and communicate with traders and developers.

Develop and improve the research framework and tools for a quantitative trading team. Provide day-to-day on-site support to quantitative researchers, implement production-grade Python and C++ code, and integrate statistical libraries and workflow/task scheduling solutions. Collaborate with traders and engineers to enhance research infrastructure and execution capabilities.

As a Senior Hardware Engineer, you'll collaborate with software developers to create low-latency connections, build communication stacks, manage data flow, and develop FPGA hardware interfaces, requiring extensive knowledge in FPGA and ASIC development.

Maintain and optimize low-latency trading networks across data centers and cloud. Troubleshoot connectivity, manage circuit migrations and MACs, design hybrid/cloud-native networking, perform configuration audits, support multicast and overlay technologies, automate infrastructure, and participate in on-call rotation.

Architect and optimize a high-frequency trading platform while managing multiple tasks and ensuring robust access to market data.

Develop options pricing and risk models, improve volatility valuation, research volatility alphas, collaborate with traders, and mentor junior staff.

The Reliability Engineer III will provide technical support for trading applications, automate processes for reliability, and monitor system health while engaging with trading teams.

The Software Developer will design and implement a low-latency trading platform, optimize machine learning algorithms, and develop data analysis tools.