Jobs at Tower Research Capital

Optimize large-scale machine learning training systems across CPUs, GPUs, and accelerators. Responsibilities include benchmarking, distributed-training optimization, GPU kernel and framework development, end-to-end pipeline efficiency, numerical optimization, and training infrastructure. The role partners with ML researchers, quantitative researchers, HPC engineers, systems engineers, and hardware specialists to improve performance, scalability, utilization, reproducibility, and cost across on-premises and cloud environments.

Provide Level 1 and Level 2 support for in-house trading applications, resolve complex production incidents, and partner with trading and engineering teams during market hours. Automate repetitive support workflows, modernize monitoring and alerting, oversee deployments and configuration changes, and participate in on-call support. The role requires Python and Bash scripting, Linux, SQL, Git, distributed-systems troubleshooting, and production engineering experience.

Build and maintain scalable batch and real-time data pipelines for financial and alternative datasets. Productionize AI/ML workflows for document extraction, classification, and data processing; own model evaluation, monitoring, and human review. Design investment data models, validation, anomaly detection, and reconciliation systems. Partner with quants and data scientists to operationalize research signals, onboard vendors and datasets, integrate APIs, and improve data reliability using modern cloud, streaming, orchestration, and warehouse technologies.

Analyze and improve structured and unstructured financial data pipelines using Python, SQL, statistical methods, machine learning, and LLMs. Responsibilities include data cleansing, validation, anomaly detection, reconciliation, dataset onboarding, API integration, model evaluation, workflow monitoring, documentation, and root-cause investigation. The role also involves explaining technical findings, managing assigned datasets, and supporting reliable production data processes in a quantitative trading environment.

Monitor automated trading systems across Asian market hours, analyze live activity for risk and compliance issues, respond to unusual behavior and market changes, and coordinate real-time issue resolution with risk managers, traders, engineers, brokers, and exchanges. Maintain monitoring procedures and production issue documentation while supporting trading across equities, futures, options, and FX markets.

Develop low-latency electronic trading infrastructure, including network and systems programming, data collection and visualization systems, market-data pipelines, algorithmic trading systems, and AI-assisted automation products. The role requires strong programming and object-oriented design knowledge, familiarity with C++, Golang, Java, Python, or Rust, SQL, relational databases, and Linux, plus fluent written and spoken French and English.

Support, maintain, and enhance Linux trading and HPC research infrastructure. Responsibilities include emergency response, planned changes, deployment projects, HPC and Condor management, performance troubleshooting, automation, monitoring, core network services, and on-call support. The role collaborates directly with trading and engineering teams and stays current with HPC, storage, and GPU technologies.

Design, build, and maintain large-scale data infrastructure, pipelines, and systems supporting data analysis and electronic trading strategies. Develop storage, compute, and networking resources handling petabytes of data and tens of thousands of requests. Collaborate with data scientists, portfolio managers, traders, and IT teams to deliver reliable, secure, and scalable solutions.

Participate in a rotational engineering program building high-performance, low-latency electronic trading infrastructure. Develop market data, execution, research, simulation, risk management, monitoring, and performance systems using C++. Collaborate with quantitative researchers, traders, and engineers to deploy systematic trading strategies, optimize production systems, and diagnose performance or data issues. Rotate across engineering teams before transitioning to a permanent placement.

Operates and supervises automated trading strategies alongside quantitative traders and developers. Monitors production trading for risk, compliance, and unusual market activity; troubleshoots day-to-day issues; analyzes trades and market data; develops Python scripts and applications to improve trading infrastructure and strategies. Requires early morning coverage aligned with market hours and a strong understanding of futures markets, algorithmic trading systems, and Linux environments.

Manages reception, meeting rooms, facilities maintenance, vendors, pantry services, office events, employee access, seating, travel arrangements, documentation, expenses, and health and safety support. Serves as a liaison with building management and contractors, coordinates repairs and inspections, maintains office supplies and services, and supports a positive employee and visitor experience.

Develop and support security referential data infrastructure for global financial trading operations. Responsibilities include analyzing production issues, implementing corrective measures, automating operational processes, supporting trading users, and owning development, testing, releases, and production support. The role requires expertise in financial trading data across multiple asset classes, Python, SQL databases, Unix environments, and shell scripting.

Develop and improve Tower’s internal agentic harness for autonomous coding, model building, long-horizon tasks, memory management, and multi-agent orchestration. Integrate tools and MCP systems, support current LLMs, identify automation opportunities with quantitative teams, and ensure regulatory compliance and production isolation. The role requires software engineering, data science, or ML engineering experience and strong knowledge of agentic frameworks and distributed systems.

Monitor automated trading systems during Asian market hours across multiple markets and trading teams. Assess live trading for risk, compliance, and unusual market conditions; alert risk managers and traders; coordinate real-time issue resolution with engineering teams, brokers, and exchanges; and document monitoring procedures and production issues.

Develop and maintain automation, web applications, stream-processing systems, microservices, and databases supporting global electronic trading infrastructure. Collaborate on architecture, distributed systems, production reliability, and operational tooling. Participate in developer on-call rotations, document technical solutions, and independently deploy and manage applications in large-scale, 24/7 environments.

Operate and supervise automated trading strategies alongside quantitative traders and developers. Monitor production trading for risk, compliance, unusual behavior, and market conditions; troubleshoot daily trading issues; develop Python scripts and applications to automate trading infrastructure; analyze trades and market data; and support strategy improvements. The role requires an early-morning schedule aligned with market hours.

Supports daily PMO operations by consolidating project updates, maintaining RAID logs, building portfolio metrics and dashboards, and coordinating governance forums. Automates PMO workflows across Jira and Confluence using Python, develops lightweight internal tools, and manages documentation quality. Owns selected small-to-medium projects, coordinating stakeholders across engineering, business, and operations while tracking risks, dependencies, milestones, and delivery progress.

Develop Python tools for quantitative trading research, improve simulation and backtesting frameworks, collaborate with quantitative researchers to enhance trading strategies, and support EMEA-focused research. The intern will work with distributed global teams and gain exposure to large-scale systems, workflow orchestration, and production-grade software engineering practices.

Designs, supports, monitors, troubleshoots, and optimizes high-performance, low-latency network infrastructure across co-location, data center, and office environments. Responsibilities include routing, switching, multicast, security, circuit migrations, market connectivity testing, infrastructure moves, vendor coordination, documentation, automation, and on-call network maintenance.

Manage end-to-end payroll for India and APAC, ensure tax filings and labor law compliance, produce payroll and benefits reports, maintain GL reporting, support onboarding/offboarding and benefits administration, liaise with vendors and global team, and drive payroll/benefits process controls and analytics.