Research and deploy trading algorithms by analyzing market data, developing statistical signals and tools, and improving simulations to support high- to mid-frequency trading and live execution.
Leads business strategy and commercial initiatives for quantitative trading, partnering with portfolio managers and senior leaders to evaluate opportunities, negotiate market access, and improve trading economics.
Partner with trading teams to scale APAC operations, develop expertise in Japanese markets, coordinate strategic initiatives, and deliver analysis and recommendations on trading infrastructure and market access.
Design, operate, and evolve bare-metal Kubernetes platforms, developing operators and developer tooling while maintaining platform services for data processing, orchestration, databases, and caches.
Monitor live trading and portfolio risk, resolve position and reporting discrepancies, and improve automated trading operations through Python-based solutions, system upgrades, and cross-team project coordination.
Manage end-to-end sourcing, supplier negotiations, purchasing, and procurement analytics while partnering with senior stakeholders to improve global logistics, supply continuity, and procurement operations.
Develop a multi-tenant research compute platform that orchestrates large-scale machine learning workloads across hybrid GPU and CPU infrastructure, enabling researchers to run scalable, resilient workflows.
Design and optimize low-latency C++ trading infrastructure, building systems for exchange connectivity, market data, trading simulations, data analysis, and risk and performance tracking.
Monitor live trading and portfolio risk while improving automated trading operations through code, project coordination, system upgrades, and programmatic solutions in complex real-time environments.
Install, maintain, and troubleshoot data center servers, network equipment, and physical infrastructure while coordinating technical projects, managing inventory, and automating operational tasks.
Leads APAC business management for equities, developing Hong Kong and China market opportunities, managing strategic partner relationships, and coordinating cross-functional initiatives, planning, and operational improvements.
Build and optimize large-scale machine learning training systems, improving performance across distributed execution, GPU kernels, data pipelines, and compute infrastructure so researchers can iterate faster.
Own production reliability for in-house trading systems by resolving complex incidents, automating operational workflows, improving monitoring, and supporting traders and developers during market hours.
Build and own scalable financial data pipelines and AI/ML workflows, ensuring accurate, production-ready investment data while partnering with quants and data scientists to support research and trading.
Build and validate batch and real-time data pipelines, apply AI/ML to complex datasets, and help onboard financial data sources while improving data quality and reliability.
Build Python data pipelines and Rust-based infrastructure for large-scale data management, partnering with data scientists, portfolio managers, and traders to support analysis and trading strategies.
Operate and supervise automated trading strategies, monitor production activity for risk and compliance, troubleshoot trading issues, and use Python and market data to improve trading systems and strategies.
Own and improve security reference data infrastructure for global trading, from development and testing through release and support, while resolving production issues and automating operational workflows.
Develop and deploy algorithmic trading strategies by researching market patterns, analyzing market and alternative data, and building tools, analytical libraries, and exchange simulators.
Develop and improve internal agentic systems for autonomous coding, performance optimization, and model building, integrating LLMs and tools while collaborating with quantitative developers and researchers.
Develops and operates software and automation for Tower’s global production environment, spanning full-stack applications, stream processing, microservices, and databases while supporting reliable trading infrastructure.
Operate and supervise automated trading strategies, monitor production activity for risk and compliance, resolve trading issues, and use Python and market data to improve trading systems and strategies.
Run PMO operations and reporting, build Python-powered tools and metrics, maintain clear project documentation, and own selected projects while coordinating delivery across engineering, business, and operations teams.
Research and develop quantitative trading strategies by analyzing market data, building analytical tools, and implementing high- or mid-frequency trading algorithms with guidance from a dedicated mentor.
Page 1 · 77 results
