Jobs at Tower Research Capital

As a Founding Engineer, you will drive the core product's engineering from the ground up, focusing on ML engineering in a startup environment.

Design, build, and expand in-house tools and an adaptable agile framework to automate Tower's operations. Architect systems for collecting, analyzing, and visualizing large datasets, integrate technical requirements, mentor engineers, maintain code quality, and document software specifications and architectural decisions while collaborating with internal teams.

Conduct high- to mid-frequency alpha research by analyzing market and alternative data, building statistical and machine-learning trading models, developing analysis tools and simulators, implementing and deploying algorithms, and monitoring portfolio risk and daily trading production.

Support day-to-day business operations for Americas securities trading, expand exchange and liquidity participation, manage bank/venue/broker relationships, execute strategic priorities, perform market and regulatory research, and maintain administrative records to support trading.

Lead and deliver firm-wide, cross-functional technology and business initiatives. Manage multiple global projects end-to-end: planning, resource allocation, budgets, risk mitigation, stakeholder communication, technical decision-making, PMO standardization, reporting, and prioritization of technical debt. Drive coordination across engineering, trading, risk, compliance, finance, and operations.

The Senior Systems Engineer will architect and implement scalable cloud infrastructure, manage Kubernetes clusters, automate workflows, and collaborate with teams to optimize performance-critical workloads.

As a Senior Quantitative Researcher, you will analyze large data sets, build statistical models, implement trading strategies, and develop quantitative research tools.

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 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.

The Market Data Strategist will identify, source, and enhance external datasets, manage data usage, and collaborate with trading and engineering teams, while ensuring compliance with market data policies.

Oversee risk for Americas trading, enhance trading controls, conduct analysis, and collaborate across teams to manage operational risk.

The role involves design and development of tools for enhancing developer productivity and infrastructure, automate workflows, and mentor team members while optimizing systems.