Jobs at Tower Research Capital

Research and lead implementation of exchange-communication latency optimizations for global equities trading strategies. The role optimizes low-latency order entry, market data consumption, exchange connectivity, and network components; designs monitoring and reporting for exchange performance; coordinates production development across developers; and manages FPGA solutions when needed.

Maintain, support, and improve the firm's low-latency Linux trading infrastructure and cloud environments. Automate provisioning, configuration, and monitoring across thousands of servers, manage core services (DHCP, LDAP, DNS, NFS), tune AWS for high-performance trading, participate in cloud design reviews, and provide 24/7 operational support including on-call rotations.

Deploys, configures, monitors, and supports internal electronic trading systems, including order management and market data platforms. Provides Level 1 and Level 2 production support, troubleshoots incidents, develops sustainable reliability tooling, coordinates solutions across engineering teams, and serves as the technical contact for brokers and exchanges. The role includes periodic after-hours support and requires expertise in scripting, Linux performance, networking, databases, and financial systems.

Develop scalable data pipelines and deep learning models for quantitative trading applications. Responsibilities include designing sequence and time-series models, evaluating and improving model performance, building agentic AI/ML workflows, and operating production MLOps pipelines. The role requires Python, PyTorch or TensorFlow, Git, CI/CD, Linux, SQL, Bash, and experience deploying large-scale machine learning models.

Research and develop high- to mid-frequency trading strategies using market data, machine learning, and market microstructure analysis. Build exchange simulators, alpha-generation tools, post-trade monitoring systems, and performance analyses for ultra-low-latency strategies. The role requires designing, implementing, calibrating, and deploying quantitative trading strategies while analyzing latency, profitability, and competitiveness. Employees must work onsite at least three days per week.

Support and maintain post-trade production systems by monitoring performance, troubleshooting incidents, collaborating with global teams, automating support processes, leading migrations, and implementing reliability enhancements. The role also develops certification criteria for system changes and new trading products, integrates execution venues and data vendors, and supports enterprise applications and databases.

Leads multiple global, cross-functional technical and business projects from initiation through delivery. Responsibilities include requirements gathering, project planning, budgeting, risk mitigation, stakeholder coordination, technical decision-making, prioritization of technical debt, and PMO process improvement. The role supports initiatives across technology, finance, operations, risk, compliance, and trading while producing project reports, dashboards, and KPIs.

Designs, architects, and maintains reliable Windows-based and mixed operating system infrastructure. Manages servers, Active Directory, virtualization, networking, storage, endpoint management, and collaboration platforms. Troubleshoots complex infrastructure incidents, participates in 24/7 on-call coverage, and develops PowerShell or Python automation. The role also supports documentation, security initiatives, vulnerability assessment, and cross-functional infrastructure projects.

Manages software and hardware technology projects from initiation through completion, including schedules, milestones, risks, resources, requirements, documentation, and stakeholder communications. Coordinates infrastructure deployments, data center installations, market-driven technology updates, and exchange compliance changes. Collaborates with technology departments, vendors, brokers, and exchanges while managing client expectations and project dependencies in a 24/7 trading environment.

Develop high-frequency trading infrastructure, including exchange connectivity, low-latency network and systems programming, historical market-data and simulation systems, data-analysis tools, and risk-management and performance-tracking tools. The role requires strong C++ fundamentals, knowledge of algorithms and object-oriented programming, and familiarity with Linux, networking, high-throughput systems, blockchain, cryptography, and cryptocurrency technologies.

Develop data pipelines, build and deploy machine learning and LLM-based NLP models, evaluate model performance through experiments, and optimize or fine-tune existing models. The role requires experience with TensorFlow or PyTorch, CI/CD, MLOps, Linux, SQL, Git, Bash scripting, and Python.

Leads business management for a quantitative trading firm by partnering with portfolio managers and trading leaders, evaluating growth and infrastructure initiatives, building data-driven business cases, negotiating with financial-market counterparties, and coordinating complex cross-functional programs. The role advises senior leadership, improves operational efficiency, supports market-structure engagement, and promotes operating standards across the Americas Business Management team.

Design and maintain reliable ETL pipelines for fragmented financial-market data, normalize feeds into internal models, develop relational and time-series models for multiple asset classes, and build automated reconciliation and data-quality systems. Collaborate with quantitative researchers, traders, and engineering teams to deliver scalable reference-data infrastructure. The role requires strong SQL, Python or Java, Unix and shell scripting skills, financial instrument data knowledge, analytical problem-solving, and technical documentation or reverse-engineering experience.

Supports APAC business management by partnering with trading teams, analyzing market structure and commercial opportunities, coordinating cross-functional initiatives, managing exchange and broker relationships, and developing recommendations, reporting, and scalable processes. The role focuses particularly on Japanese electronic trading markets, market access, clearing, liquidity, infrastructure, and regulatory developments.

Designs, operates, and maintains bare-metal Kubernetes clusters and develops Kubernetes operators. The role owns developer tooling and documentation, packages and maintains platform services including streaming systems, data orchestrators, databases, and caches, and contributes to platform innovation. Candidates need an MSc or PhD in computer science, at least two years of non-academic experience, programming proficiency, systems programming knowledge, Linux administration skills, and fluent French and English.

Monitor high-volume live trading and portfolio risk, contribute to automated trading operations code, coordinate software and hardware upgrades, manage cross-functional projects, develop programmatic scaling solutions, and resolve discrepancies involving trading positions, broker statements, and internal applications.

Manage end-to-end procurement and strategic sourcing initiatives, including requirements gathering, market analysis, negotiations, contracting, renewals, pricing models, and supplier performance. Partner with senior stakeholders, analyze spend and commercial risks, support logistics and supply continuity, improve procurement governance and systems, and contribute to transformation programs. The role requires strong procurement lifecycle knowledge, negotiation skills, financial analysis, project management, and cross-functional influence.

Develop a multi-tenant research compute platform for large-scale machine learning workloads across hybrid CPU and GPU infrastructure. Responsibilities include HPC and Kubernetes scheduling, workflow orchestration, multi-cloud portability, fault-tolerant pipelines, performance optimization, and observability with cost attribution.

Design and optimize high-frequency trading infrastructure, including exchange connectivity, market-data systems, trading simulations, risk tools, and performance tracking. Develop low-latency network and systems software, analyze market data, and build tools for identifying trading patterns. Candidates should have a computer science degree, C++ development experience, strong data structures and algorithms knowledge, and familiarity with high-throughput systems, Linux, and networking.

Monitor live trading and portfolio risk, develop automated trading operations software, coordinate software and hardware upgrades, manage cross-functional projects, scale trading operations through programmatic solutions, and resolve discrepancies involving trading positions, broker statements, and internal applications.