Monitor live trading and portfolio risk, improve automated trading operations through Python, coordinate system upgrades and support-team projects, and resolve discrepancies across positions, broker statements, and internal applications.
Tower Research Capital jobs
Quantitative trading firm with a high-performance technology platform.
77 open roles at Tower Research Capital
Manage and improve production order-management and market-data systems, coordinating with trading, risk, business, and compliance teams while providing support and strengthening system reliability.
Lead and mentor a global C++ engineering team building and optimizing low-latency cryptocurrency trading infrastructure, exchange connectivity, historical market data systems, and trading simulations.
Software Engineer, Trading Systems (C++)
Build and optimize low-latency trading systems, market data infrastructure, and research tools, partnering with researchers and traders to take quantitative strategies from prototyping through production.
Dรฉveloppeur de Logiciels / Software Developer
Concevez et maintenez lโinfrastructure de donnรฉes ร grande รฉchelle et les pipelines qui soutiennent lโanalyse fondamentale et les stratรฉgies de nรฉgociation, en collaboration avec les รฉquipes de donnรฉes, de portefeuille et de nรฉgociation.
Architect and operate high-performance cloud infrastructure for HPC and distributed workloads, leading migrations and improving compute, storage, networking, and scheduling efficiency for research and engineering teams.
Price and trade leveraged and unleveraged ETFs across Japan and Hong Kong, monitoring valuation, risk, and arbitrage while improving execution and scaling strategies with quantitative researchers.
Develops automated security solutions, supports enterprise security platforms, assesses vulnerabilities, and strengthens security controls and incident response across the organization.
Support electronic trading and market data systems across exchanges and asset classes, partnering with traders and external contacts while resolving production issues and improving monitoring, reliability, and Python tooling.
Build and scale Towerโs machine learning research platform, enabling reproducible experimentation, GPU-accelerated training, simulation, and efficient compute across HPC and cloud environments.
Design and operate high-performance computing infrastructure across Linux, storage, networking, and cloud environments, improving workload efficiency, observability, automation, and reliability for trading and engineering teams.
Maintain and improve trading Linux and high-performance computing infrastructure, troubleshoot performance issues, automate server provisioning and monitoring, and support core services for trading and research teams.
Founding Engineer - Tower Incubations
Build and launch a startupโs core product from the ground up, owning foundational engineering, technical direction, and applied AI/ML systems while helping shape and grow the engineering team.
Experienced Quantitative Trader
Develop and run a consistently profitable trading strategy across markets and asset classes, contributing proven trading performance and collaborating with teams across risk, engineering, compliance, and other functions.
Develop and maintain low-latency trading and research systems, market-data and simulation tools, and risk and performance applications, with a focus on efficient, high-throughput production code.
Quantitative Developer, C++ - Trading Teams EMEA
Develop low-latency trading and research infrastructure, improve backtesting and parallel computation tools, and optimize machine-learning algorithms to support quantitative research teams.
Research and deploy systematic trading strategies by analyzing market data, developing statistical and machine learning models, solving optimization problems, and building scalable research tools across the full pipeline.
Design and optimize low-latency C++ trading systems that connect to global exchanges, provide market data and simulations, analyze trading patterns, and support risk management and performance tracking.
Research market behavior and develop statistical models, trading strategies, and scalable quantitative tools, taking ideas from data analysis and optimization through deployment and production analysis.
Develop Python data science platforms and ETL pipelines for global trading research, while improving visualization, compute and storage frameworks, in-house tools, and operational workflows.
Develop and improve research framework tools for a trading team, while providing day-to-day support to quantitative researchers and working with Python, C++, and statistical libraries.
Design and optimize low-latency trading systems, backtesting and research tools, and large-scale computation to improve live trading robustness and research performance.
Run and monitor automated, low-latency market-making systems; manage trading books and risk, price ETFs and related products, and collaborate with IT and quantitative teams to improve strategies and systems.
Develop Python research tools and improve simulation frameworks while partnering with quantitative researchers to refine trading strategies and support research operations across global teams.
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