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Oversee and manage client onboarding for the electronic trading platform, leading a team and ensuring successful integrations while maintaining client relationships.

You will architect and implement low-latency trading systems and execution algorithms while collaborating with quants and traders on performance analysis and optimization.

Design and develop low-latency trading systems and algorithms. Analyze performance and optimize systems while collaborating with a global team. Build from scratch and enhance existing trading frameworks.

Provide level 1 support for trade systems, troubleshoot client connectivity, perform transaction cost analysis, and assist in product customization.

The Execution Analyst role involves analyzing client and market data, monitoring algorithm performance, and providing insights to improve electronic trading strategies.

The Senior Finance Manager will oversee finance operations, manage a finance team, ensure compliance, and support financial reporting and analysis.

The Senior Execution Consultant monitors and optimizes algorithm performance for clients, providing analytical insights and recommendations to improve execution strategies and drive value.

The Marketing & Business Operations Analyst will manage data in HubSpot, support marketing campaigns, and translate performance data into insights while collaborating with marketing and sales teams to improve operational workflows.

As a Quantitative Data Engineer, you will develop robust data pipelines, optimize database schemas, and maintain key infrastructure for algorithmic trading systems, working closely with quantitative researchers and trading teams.

As a Quantitative Researcher, you will develop quantitative models, conduct statistical analyses, and drive research for algorithmic trading strategies using market data. Responsibilities include model validation, performance tracking, and collaboration with engineering teams.