Jobs at Tower Research Capital

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.

Designs and deploys trading algorithms, researches high- to mid-frequency trading strategies, analyzes market and alternative data, develops analytical tools and data platforms, contributes to trading libraries, calibrates exchange simulators, and supports live execution. Requires advanced quantitative expertise in mathematics, statistics, machine learning, statistical modeling, large-scale data analysis, and Python and C++ programming.

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.

Leads APAC equities business management by managing strategic market relationships, expanding Hong Kong and China trading capabilities, supporting prime brokerage and inventory strategy, evaluating commercial opportunities, monitoring market and regulatory trends, and coordinating cross-functional business initiatives. The role also supports regional planning, resource allocation, operational improvements, and strategic priorities.

Supports recruitment and HR initiatives by coordinating interviews, managing candidate communications, assisting campus recruiting, maintaining candidate records in Greenhouse, and supporting documentation and offer processes. The role works closely with Recruitment and HRBP teams to provide a seamless candidate experience while managing multiple priorities in a fast-paced environment.

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.