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Design, implement, and maintain low-latency, high-performance network infrastructure for trading systems. Partner with engineering teams to automate, monitor, and troubleshoot distributed networks, optimize performance, ensure resilience and security, and evaluate emerging technologies to improve scalability and reliability.

Supports trading desks across the trade lifecycle, including trade booking, reconciliation, P&L analysis, exception resolution, risk management, and operational reporting. Partners with trading, technology, compliance, and operations teams to automate workflows, test and deploy new functionality, improve controls, and resolve complex trading issues. The role also analyzes trading activity and operational metrics and leads projects involving process design, risk management, and technology initiatives.

Build high-performance, workflow-driven client interfaces for institutional electronic trading platforms using TypeScript and React. Integrate front-end applications with C++, Python, distributed backend services, real-time data, and data pipelines. Translate complex trading and market-data workflows into intuitive experiences, optimize performance, establish UI engineering best practices, and contribute to reusable frameworks, component libraries, and developer tooling while collaborating with product, business, quantitative research, and engineering teams.

Conduct quantitative research for automated trading strategies by developing mathematical models, translating algorithms into code, backtesting trading signals, analyzing unconventional data, and refining monetization systems. Collaborate with senior researchers during an 11-week post-doctoral internship while applying advanced probability, statistics, machine learning, and time-series techniques to financial markets.

Develop and evolve investor-facing equities products using React and TypeScript. Partner with investors, product managers, UX designers, and engineering teams to understand workflows, prototype solutions, and deliver high-performance, data-intensive interfaces for research, risk analytics, portfolio analysis, and investment decisions. Own products end to end, from identifying user needs through launch and iteration, while maintaining high standards for quality, testing, performance, and maintainability.

Build the core visualization platform, reusable frameworks, design systems, and developer tooling for client-facing financial analytics. Translate complex market and trading data into clear, high-performance applications while partnering with product, design, sales, and engineering teams. Evaluate emerging technologies, provide hands-on technical leadership, conduct design reviews, and mentor engineers. The role requires strong software engineering, visual design judgment, interaction design, and information architecture expertise.

Lead architecture and engineering of high-performance crypto market feed handlers and exchange connectivity. Build low-latency ingestion, normalization, sequencing, order book construction, and distribution systems; drive venue onboarding, data quality, reconciliation, recovery, and replay; improve latency, throughput, resiliency in a 24/7 production environment; partner with trading and research teams; mentor engineers and define operational KPIs.

Support rates sales and trading desk by booking and reconciling trades, managing risk breaks, automating operational workflows with developers, coordinating releases and testing, and liaising with Trading, Technology, Compliance, Operations, Accounting and Business Management to deploy new trading capabilities and support day-to-day operations.

The Market Data Engineer will design and implement high-performance market data systems, focusing on trading infrastructure, performance optimization, and system resiliency.

Recruiting Coordinators support full-cycle recruitment processes, manage candidate interactions, and work on HR projects, all while building stakeholder relationships.