Jobs at Flow Traders

Manage market and credit risk across APAC trading positions and asset classes, including digital assets. Monitor limits, P&L, exposures, trading strategies, and risk appetite while supporting risk framework development. Build risk models, analytics, reports, and automated processes using Python, SQL, and AI tools. Support treasury, securities lending, and capital management activities while collaborating with Traders, Technology, global Risk teams, and external stakeholders.

Design, build, optimize, and deploy systematic trading models and algorithms. Analyze large datasets to identify market patterns and trading signals, collaborate with traders and technologists to productionize research, and monitor and refine models based on live performance. The role requires advanced quantitative expertise, strong programming skills in Python or C++, and the ability to solve open-ended problems independently.

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.

Develop low-latency trading systems, collaborate with teams to optimize strategies, and ensure software stability and quality. Lead global platform rollout.

The Trading Operations Engineer will optimize trading systems, resolve technical issues, manage infrastructure, and collaborate with cross-functional teams to enhance system performance.

The Senior Research Engineer will develop a trading model research framework, partnering with researchers to create and optimize trading strategies and models.

Optimize the performance and speed of a proprietary trading stack using low-latency technologies such as FPGAs and microwave links. Analyze network data, prototype and automate performance solutions, investigate latency bottlenecks, conduct statistical experiments, reverse engineer systems, and advise trading and technology stakeholders on infrastructure improvements. The role requires strong systems, networking, Linux, programming, data analysis, and Chinese equity market experience.

Lead development and global rollout of core C++ trading platform components. Implement exchange connectivity (FIX, WebSocket, HTTP), optimize for ultra-low latency (kernel bypass, TLS), build trading algorithms, improve reliability and observability, and collaborate closely with quants and traders to deploy production systems.

Design and implement low-latency C++ trading systems and exchange connectivity. Optimize performance and reliability, develop tools and frameworks for pricing and trading strategies, collaborate with quants and traders, maintain testing suites, investigate production issues, and support deployments and observability.

Lead development and global rollout of a research framework for training and deploying trading models. Partner with quantitative researchers to test hypotheses, develop data-driven trading strategies and alpha signals, and integrate models into production workflows.

Lead design and global rollout of the Core market data and execution platform. Implement high-performance market data ingestion, normalization, distribution, and execution components. Build tools for quants and traders, own component lifecycle (deploy, monitor, profile, optimize), and collaborate closely with engineers, quants, and traders to iterate on platform design.

Lead development and global rollout of a research framework for training and deploying trading models. Partner with quantitative researchers to test hypotheses, build data-driven systematic trading strategies, and implement end-to-end ML pipelines for production.

Lead expansion into new opportunities by building and deploying profitable high-frequency quantitative trading strategies. Manage a research team to develop pricing and execution models, oversee end-to-end deployment, and integrate large-scale ML/Ops and high-performance compute into trading systems.

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.

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.