As a Quantitative Researcher, you will analyze large data sets to build and deploy systematic trading strategies using statistical and machine learning techniques. You will work on formulating hypotheses, building statistical models, and implementing algorithms for trading. This role involves the complete process from idea generation to production results.

The Senior Project Manager will manage software and infrastructure-driven projects, liaising between technology and non-technology departments, maintaining project documentation and plans, and leading Go-Live activities while managing risks and stakeholder relationships.

The Trade Monitor will support automated trading systems, monitor live trading for risk and compliance, collaborate with portfolio managers and developers, troubleshoot trading-related issues, and document procedures at Tower Research Capital.

As a Senior Software Engineer, you'll improve the research framework and tools used in quantitative trading strategies. You will closely collaborate with the research team to enhance performance and monitor research jobs.

The Associate, Data Acquisition will analyze data agreements, liaise with trading teams, negotiate with vendors, assist in reporting, and enhance operational processes. The role involves significant collaboration with various internal and external stakeholders.

This role is responsible for designing, implementing, and managing high-performance computing (HPC) systems for trading operations, optimizing storage solutions, and developing Infrastructure as Code (IaC) practices. The engineer will also implement GPU-based solutions, collaborate with teams for technology enhancements, and troubleshoot complex technical issues.

The Senior Options Quantitative Researcher will develop options pricing and risk models, improve volatility valuation, and research volatility alphas while collaborating with traders and mentoring junior team members.

The Senior Options Quantitative Researcher develops options pricing and risk models, improves real-time volatility evaluations, researches volatility alphas, and collaborates with traders for strategy optimization. This role involves mentoring junior staff and working with large datasets.

As an experienced C++ Software Engineer, you will architect and design a high-frequency trading platform, ensuring robust access to market data and optimizing the system for low latency. You will build tools for data analysis, risk management, and performance tracking while leading development sprints and managing multiple tasks in a dynamic environment.

The Senior Project Manager will lead and manage multiple projects across various departments including Engineering, Trading, Risk, and Compliance. Responsibilities include project initiation, planning, execution, stakeholder communication, and aligning projects with strategic goals, while addressing technical debt and improving project management practices within the firm.

As the Founding Account Executive at Arvor Insurance, you will define brokerage operations, map workflows, provide feedback on strategy, build relationships with carriers, assist with compliance, and contribute creatively within this startup environment. You will become a pivotal figure in client service and potentially transition into a production role.

The Software Engineer will automate the production environment, develop innovative applications for internal systems, and build software for data collection and analysis while supporting technical teams in a high-frequency trading firm.

As a Founding Engineer at Arvor Insurance, you'll shape the technical vision, architect infrastructure, and support team growth. Responsibilities include translating product requirements into architecture decisions, deploying AI in production, managing a product roadmap, and ensuring product reliability. You'll play a key role in value creation.

The Trade Support Associate will monitor and support the team's algorithmic trading strategies, troubleshoot issues, analyze production logs, and collaborate with traders to identify new opportunities. The role demands vigilance during market hours and contributing to system reliability and design enhancements.

As a Low Latency Developer, you will design and implement high-performance code for trading systems, improve access to market data, and collaborate with traders to develop software solutions. You will also manage risk and performance tracking tools while staying updated on high-performance computing technologies.

The Trade Support Associate at Tower Research Capital will support algorithmic trading strategies by ensuring data integrity, managing production simulations, and fixing errors. Responsibilities include market data maintenance, reconciliation, and infrastructure support for trading operations across electronic markets worldwide.

The Machine Learning Platform Engineer will design and develop a next generation research platform to support quant researchers, ensuring reliability and scalability. Responsibilities include optimizing system performance, enhancing platform capabilities, and collaborating with multiple teams to address challenges. The candidate should possess strong knowledge in Python, cloud management, and high-performance computing.

The role involves designing and supporting infrastructure tools for trading, managing large data efficiently, building ETL pipelines, automating workflows, and improving in-house tools in a fast-paced environment.

The Trading & Operations Associate at Tower Research Capital will analyze and enhance trading reports, manage inventory for the ETF desk, automate daily controls, and identify operational risks. The role involves coordinating trading platform changes and monitoring performance in a fast-paced environment.

The Founding Software Engineer will support Tower Research Ventures by acting as a lead engineer for various startups, building Minimum Viable Products, managing hiring processes, and potentially assisting in evaluating startups. Responsibilities include technical feasibility scoping and project work for portfolio companies.