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Nine-week, in-person summer internship on Flow Traders' New York trading floor. Interns learn from traders, run trading simulations, develop and test quantitative trading strategies, collaborate with traders and researchers on projects, and engage in structured coursework and intern events.

Lead technical architecture and direction for trading automation and backend platforms. Design scalable, event-driven, high-throughput backend systems; translate business problems into technical roadmaps; mentor senior engineers and tech leads; partner with trading, quant, risk, and operations to drive automation and reduce operational risk across the trade lifecycle.

Lead design and rollout of a high-performance Core market data and execution platform. Implement low-latency ingestion, normalization, distribution, and execution components. Build tools for quants and traders, own component lifecycle in production, profile and optimize code, and collaborate closely with engineers, quants, and traders to iterate on requirements and design.

Provide first-line remote and on-site IT support across Windows environments and office infrastructure. Troubleshoot hardware, OS, applications, AV, printers, and datacenter equipment; manage workstation setup, onboarding/offboarding, asset lifecycle, meeting-room systems, and trading-floor continuity. Monitor systems and escalate issues, maintain documentation and knowledge base, and collaborate with senior teams on network, server, cloud, and infrastructure tasks.

Perform trade reconciliations, position monitoring, P&L attribution, and settlement across asset classes; investigate breaks and corporate actions; analyse and redesign end-to-end processes; build automation using Python/SQL and AI tools; manage data pipelines, onboarding of counterparties, and support global technology/process projects while monitoring operational risk.

Design, build, deploy, and operate enterprise-grade AI agents and multi-agent workflows. Integrate agents with internal systems, implement RAG/vector DBs, ensure governance, observability, evaluation, and production guardrails, and deliver automation across Trading, Risk, Compliance, Finance, and Operations.

The Digital Assets Operations Analyst will manage trade operations, reconciliations, reporting, and collaboration across teams to improve processes in a fast-paced trading environment.

Lead and own global HR operations and service delivery, manage a team of HR Generalists, set SLAs and quality standards, run recurring HR processes end-to-end, ensure HR data integrity, drive process improvements and automation (including AI), and implement consistent global ways of working while supporting managers as primary operational HR contact.

Provide first-line Windows desktop and workstation support for traders and APAC staff: troubleshoot hardware, OS, applications, VDI and peripherals; provision VMs/VDIs; manage onboarding/offboarding; log and escalate incidents; maintain inventory and knowledge base; collaborate with senior engineers to improve business-critical IT services.

The role involves developing trading strategies, collaborating with traders, analyzing data, and designing quantitative models to optimize trading performance.