Jobs at Flow Traders

Develop workflow automation and data pipelines, build data-intensive applications, write automated tests, document designs and operational guides, deploy via CI/CD, provide first-line operational support, mentor team members, and collaborate with global stakeholders to improve trading efficiency.

Lead global post-trade operations and middle-office teams to ensure consistent processes, controls, and regulatory compliance across jurisdictions. Drive automation, data and AI initiatives, partner with Technology/Product, manage vendor and bank relationships, provide operational insights to leadership, and mitigate operational risk to enable scalable trading.

Design, implement, and deploy quantitative models and algorithms for systematic trading; analyze large datasets to find trading signals; collaborate with traders and engineers to move research into production and monitor model performance in live markets.

Senior Market Risk Manager provides second-line oversight of market risk across trading activities, partnering with trading, quant and tech to manage limits, monitoring, stress testing, analytics, regulatory reporting and risk mitigation. The role enhances cross-asset risk frameworks, leverages AI/automation, investigates breaches and P&L anomalies, and mentors junior staff.

Lead and develop a software engineering team: own career growth, hiring, culture, performance management, and delivery. Partner with technical leads to align work with organisational goals and ensure timely, high-quality software.

Lead and manage a Research Engineering team responsible for delivering applied research and trading platform features. Own roadmap, hiring, career development, performance management, cross-functional coordination with Trading and Quant teams, and delivery predictability while improving processes and team culture.

Lead and manage a Research Engineering team: own roadmap, hiring, career development, culture, and delivery. Partner with technical leads and cross-functional stakeholders to translate research into production, track progress, mitigate risk, and continuously improve processes and team velocity.

Senior individual-contributor responsible for defining enterprise systems architecture (identity, endpoints, compute, storage, databases, virtualization), driving cloud/on‑prem decisions, modernization, automation and IaC, integrating SaaS via SSO/provisioning/APIs, mentoring engineers, and improving resilience and deployment practices.

Six-week paid Trading internship on the APAC trading floor. Learn trading fundamentals, design and test quantitative strategies, work with Traders and Quantitative Researchers, participate in simulations and educational courses, and deliver project-based trading tools.

Lead design and global rollout of a high-performance core market data and execution platform. Implement and optimize low-latency market data ingestion, normalization, distribution, and execution components in modern C++. Own deployment, monitoring, profiling, and production optimization while collaborating closely with quants and technical traders to enable systematic pricing and trading strategies.

Lead design and global rollout of a high-performance market data and execution Core Platform. Build low-latency ingestion, normalization, distribution, and execution components. Develop tools for quants and traders, own lifecycle from deploy to production profiling and optimization, and collaborate closely with engineers, quants, and traders to iterate on requirements and platform improvements.

Lead development of high-performance C++ trading systems and core platform components, build and optimize exchange connectivity (market data and order flow), implement trading algorithms, improve stability and observability, troubleshoot production issues, and collaborate closely with quants and traders to iterate on design and deployment.

Build and optimize low-latency C++ trading systems used across global venues. Implement exchange connectivity, trading algorithms, testing, monitoring, and performance optimizations. Collaborate with researchers, traders, and engineers to refine requirements, troubleshoot production issues, and deploy reliable, high-performance trading platform components.

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.