Top Tech Jobs & Startup Jobs

Support front-office trading applications for investment professionals by installing and maintaining Linux and Windows systems, monitoring application health, performing market-start and market-end checks, troubleshooting incidents, and coordinating resolutions. Improve application resiliency and release readiness, automate support tasks, explore AI-enabled operations, document procedures, and communicate clearly with technology teams and business stakeholders during incidents and changes.

Lead sourcing and evaluation of alternative data and research providers for investment teams. Manage provider relationships, negotiate commercial terms, coordinate onboarding and compliance reviews, and support internal stakeholders with data strategy and implementation.

The role involves managing mortgage-backed securities valuation, performing model validation, ensuring compliance, and collaborating with investment and technology teams.

Design, deploy, and operate high-performance campus, data center, and WAN networks for low-latency trading systems. Implement security controls, automate provisioning with scripting/IaC, troubleshoot incidents, lead upgrades and capacity planning, and mentor junior engineers.

As a Software Engineer, you'll develop and enhance core analytics libraries using C++ and Python, collaborate with quants and traders, and ensure high-quality software delivery.

Manage valuations and models for Fixed Income derivatives, control market data inputs, perform price testing with third-party vendors, and liaise with various teams.

Senior Data Engineers design and build solutions for extracting insights from data sets, focusing on developing big data pipelines and cloud infrastructure.

Provide administrative support to portfolio managers and research analysts: manage calendars and calls, coordinate domestic and international travel, process expenses, manage phone coverage, organize meetings and conference rooms, build internal/external relationships, and assist on special projects.

Design, build, and maintain scalable AI/ML architectures and systems. Collaborate with data scientists, engineers, product, and Compliance to integrate models into products. Evaluate tools and ensure performance, quality, and compliance while staying current with AI/ML advancements.

Creates practical investment education content for fundamental long/short equities professionals. Responsibilities include developing stock case studies, research frameworks, guides, templates, and coaching materials; maintaining content libraries; applying AI tools to investment research workflows; coordinating with Compliance on sensitive information and technology use; and managing content roadmaps and cross-functional projects.