Director of Algorithmic Trading Technology
Company Description
Gamma 1 is a private investment company that provides alternative and flexible capital solutions to publicly listed companies around the world. The firm focuses on innovative financing approaches that support corporate growth, strategic initiatives, and balance sheet optimization. Its global reach offers exposure to diverse markets and sectors, creating a dynamic environment for professionals in investment and technology. Team members collaborate closely across functions to design and implement data-driven strategies that enhance capital deployment and risk management. The company values analytical rigor, technological excellence, and a pragmatic approach to solving complex financial challenges. Role Description The Director of Algorithmic Trading Technology is a full-time remote role responsible for leading the design, development, and optimization of Gamma 1’s algorithmic trading infrastructure and strategies. This role oversees the end-to-end lifecycle of trading algorithms, including research, back-testing, implementation, monitoring, and continuous refinement. Day-to-day activities include collaborating with trading and investment teams to translate market views into executable strategies, architecting scalable and low-latency systems, and ensuring robust risk controls and compliance within the technology stack. The director will manage technical standards, coordinate with external vendors and internal stakeholders, and mentor team members in best practices for software engineering and quantitative tooling. The role also involves performance analysis, reporting on strategy results, and driving innovation in market data usage, execution quality, and technology frameworks.
Qualifications
Strong expertise in Trading and Trading Strategies, with a track record of designing, implementing, and optimizing algorithmic approaches across asset classes. Solid foundation in Finance and Hedging, including risk management concepts, portfolio construction, and derivative instruments relevant to systematic strategies. Experience working closely with Sales or capital-raising teams to align trading technology capabilities with client needs and commercial objectives. Advanced skills in software engineering and quantitative development (e.g., Python, C++, Java or similar), including experience with low-latency systems, APIs, and data pipelines. Proficiency in handling market data, back-testing frameworks, and performance analytics, with familiarity in cloud-based or distributed computing environments. Demonstrated leadership experience managing technical teams, setting technology roadmaps, and collaborating across trading, risk, and operations functions. Excellent analytical, problem-solving, and communication skills, with the ability to work independently in a remote, globally distributed environment. Relevant advanced degree in Computer Science, Engineering, Mathematics, Finance, or a related field; comparable professional experience may be considered.