Jobs at Flow Traders

Senior Business Analyst serving as an internal advisor between business stakeholders, BI, FP&A, and project management. Translates ambiguous business needs into actionable requirements, evaluates project value and ROI, defines KPI ownership, resolves metric inconsistencies, and improves reporting effectiveness. The role emphasizes stakeholder management, business-case challenge, measurement frameworks, and accountability rather than building data pipelines or dashboards.

Build and operate scalable data platforms supporting proprietary research and systematic trading. Responsibilities include distributed storage and processing, data modeling, analytical engines, governance, lineage, access control, data quality, monitoring, and platform reliability. The role partners with quants and engineers, uses Python or Java, works across cloud environments, enables AI data consumption, resolves pipeline issues, and mentors engineers.

Own and develop post-trade domains including reconciliation, settlement, booking, and reporting. Design scalable backend services and data pipelines, improve automation and data quality, shape platform architecture, and ensure system observability, reliability, and correctness. Collaborate with Trading, Operations, Risk, Compliance, and Data teams while providing end-to-end ownership from design through production support.

Lead a new AI engineering team by owning delivery, roadmaps, use-case prioritization, hiring, team development, performance management, and stakeholder communication. Identify business opportunities for AI, guide solutions from concept to production, manage risks and dependencies, and partner with Engineering, Trading, Quant, technical leads, and staff engineers to deliver measurable outcomes.

Design and develop a new OTC trading engine while modernizing existing applications. Build high-performance distributed services, data pipelines, integrations, and event-driven systems using Java, C++, and Python. Define architectures, service boundaries, and data flows; ensure reliability through testing, observability, monitoring, failure handling, and automation. Collaborate with traders, quants, Operations, Risk, and Compliance, owning solutions from discovery through production operation.

Eight-week paid trading internship immersing students in financial markets, arbitrage, quantitative trading, and trading simulations. Interns work with traders and quantitative researchers on real projects, developing tools, solving problems, designing strategies, and testing results. The program includes classes, mentoring, Flow Academy learning, networking, and potential full-time trading opportunities. Applicants must be Europe-based students graduating in 2028 with strong analytical, logical reasoning, mental arithmetic, and problem-solving abilities.

Supports HR and recruitment operations across the employee lifecycle, including onboarding, offboarding, HRIS and ATS maintenance, learning program administration, reporting, interview coordination, campus recruiting, employer branding, and employee requests. The role also contributes to process improvements, team projects, and data-driven analyses while delivering a high-quality experience to employees and candidates.

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.

Provides operational and strategic HR support across European offices, managing the employee lifecycle, HR compliance, benefits, and employee relations. Partners on HRIS and HCM implementation, migration, automation, and process improvement. Maintains accurate workforce data, develops dashboards and reports, delivers people analytics, and presents actionable insights to leadership. Supports recruitment, relocation, visas, engagement, organizational change, and stakeholder management.

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 live model performance. The role requires advanced quantitative expertise, strong mathematics and statistics knowledge, programming proficiency in Python or C++, and the ability to solve ambiguous problems independently.

Develop real-time software, API services, and ETL pipelines that automate trading and business workflows. Own solutions through their full lifecycle, identify inefficiencies, and collaborate with global stakeholders across trading and other business units. The role requires strong Python and Golang development skills, Unix/Linux expertise, and proficiency with Docker, Kubernetes, and Kafka.

Serve as the primary front-of-house specialist, welcoming employees, visitors, vendors, clients, and executives. Manage reception, calls, mail, couriers, meeting rooms, office supplies, vendor visits, travel coordination, events, scheduling, expense reports, and budget tracking while delivering a polished workplace experience.

Research and develop intraday to few-day quantitative alpha signals and systematic trading strategies for APAC equities and futures. Apply machine learning, high-performance computing, time-series modeling, and market microstructure analysis to create scalable trading models. Collaborate with traders, engineers, and researchers to deploy production-ready strategies and improve quantitative research methodologies, tools, and best practices.

Defines long-term architecture and engineering standards across enterprise systems, including identity, endpoints, compute, virtualization, operating systems, storage, databases, and SaaS foundations. Leads modernization, cloud migration, automation, platform rationalization, and legacy system retirement. Acts as senior technical authority, mentors engineers, drives architecture decisions, and owns integrations such as SSO, provisioning, APIs, and data flows. The role is a hands-on individual contributor based in London with frequent travel to Amsterdam.

Designs, builds, optimizes, and deploys systematic trading models and algorithms. Analyzes large datasets to identify market patterns and trading signals, collaborates with traders and technologists to move research into production, and monitors model performance. Requires advanced quantitative expertise, strong mathematics and statistics, programming proficiency, and the ability to solve ambiguous problems independently.

Design and optimize low-latency C++ components for market data ingestion, normalization, distribution, order execution, and systematic trading infrastructure. Build tools for quantitative researchers and technical traders, and own components through deployment, monitoring, profiling, and production optimization. Collaborate with engineers, quants, and traders to develop highly scalable systems using modern C++, OS internals, CPU and memory architecture, lock-free concurrency, and low-latency networking.

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.

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.