Jobs at Tower Research Capital

Build and maintain internal tools, data workflows, and web applications. Develop Python services, ETL and reporting pipelines, SQL queries, and AI-enabled internal tools (chatbot/agent) integrating with APIs and databases. Maintain backend APIs and frontends, improve reliability, observability, testing, and CI/CD, and collaborate with business users to deliver practical solutions.

Design and build automation and web-based products (frontend/backend), stream processing, microservices, and databases to manage Tower's global production environment. Collaborate across teams, support production via developer on-call rotation, produce technical documentation and specifications, and contribute to architecture and deployment/DevOps for 24/7 trading infrastructure.

Design and build a scalable, reliable ML research platform supporting large-scale experimentation, distributed GPU training, experiment tracking, model/version/ artifact management, data pipelines, observability, and resource scheduling across HPC and multi-cloud environments while partnering with quantitative researchers.

Assist the regional risk team in enhancing risk models, developing data visualization tools, and documenting internship work for future improvements.

Design, support, and operate HPC compute and storage across on-premises and cloud environments. Maintain large-scale Linux systems, troubleshoot OS/storage/networking and cluster scheduler layers, manage batch and containerized workloads (CPU/GPU), build HPC tools and observability pipelines, handle deployments and lifecycle, and automate repetitive workflows to improve cluster utilization and reliability.

Develop and optimize large-scale machine learning infrastructure, collaborating with quantitative researchers, and enhancing platform capabilities for scalability and efficiency.

Build and scale Tower's ML research platform: design distributed training pipelines, enable large-scale experimentation across HPC and cloud, improve experiment management, model/version tracking, data pipelines, observability, and compute/resource efficiency while partnering with researchers.

Design, operate, and improve large-scale HPC compute and storage across on-prem and cloud. Maintain Linux systems, troubleshoot OS/storage/network/cluster layers, manage batch/container workloads, build management tools and observability pipelines, automate workflows, and optimize cluster utilization and performance.

As a Quant Developer, you will enhance the research framework and support quantitative research teams, optimizing trading tools and systems.

As a Quant Developer, improve research frameworks, develop tools for trading strategies, and support the quantitative research team on-site.

Six-month PhD internship on the Central Execution Desk performing execution research: analyzing market microstructure, building simulation and analytics tools, designing and evaluating models, and working with large noisy datasets to support trading and execution decisions.

Maintain and support order management and market data systems for electronic exchanges. Provide L1/L2 production support, monitor system health, coordinate with trading, risk, and compliance teams, architect reliability improvements, act as broker/exchange technical contact, and provide periodic after-hours coverage.

Lead and architect a low-latency, high-frequency cryptocurrency trading platform. Manage and mentor a distributed global engineering team, collaborate with traders and stakeholders, optimize network and systems performance, and build historical data and simulation systems to support trading strategies.

Develop and improve the research framework and tools for a quantitative trading team. Provide day-to-day on-site support to quantitative researchers, implement production-grade Python and C++ code, and integrate statistical libraries and workflow/task scheduling solutions. Collaborate with traders and engineers to enhance research infrastructure and execution capabilities.

Design, implement, and optimize a low-latency high-frequency trading platform for cryptocurrency markets; collect market data, disseminate orders, analyze throughput/latency, build performance tools, and develop access to historical data and simulation systems.

Design, implement, and optimize high-performance, low-latency trading infrastructure for research and production. Partner with researchers and traders to build market data, execution, backtesting, and deployment systems. Develop tools for prototyping, simulation, monitoring, risk management, and performance analysis across the strategy lifecycle.

Develop low latency high-frequency trading systems, improve backtesting platforms, optimize computational efficiency, and create tools for data analysis in a fast-paced trading environment.

Manage daily procurement operations for APAC: create purchase orders, negotiate suppliers, oversee delivery logistics, ensure compliance, process invoices with finance, build stakeholder relationships, support APAC Procurement Manager and produce regional reports. Must be based in Singapore.

Manage and support Order Management and Market Data systems, provide L1/L2 production support, collaborate with trading and risk teams, improve reliability and self-healing, monitor system health, and act as primary technical contact for brokers/exchanges.

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.