Voleon is a technology company that applies state-of-the-art AI and machine learning techniques to real-world problems in finance. For nearly two decades, we have led our industry and worked at the frontier of applying AI/ML to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for the future.
As Director of Engineering, Strategy Applications, you will lead a group of high-performing technical teams responsible for a key component of the Voleon technology platform. Your teams will operationalize the outputs of our research organization and power our trading engine. Your group will develop abstractions that encapsulate core business logic for the entire firm that can be consumed across a wide portfolio of strategy types. You will develop and own the systems that execute, reconcile, and bookkeep our trading operations each day.
Your teams will be responsible for delivering high-performance and high-availability systems that power model inference and quantitative trading components critical to the company's profitability. You will ensure that our services are maximally available, designed for resiliency and redundancy. You will bring an exceptional attention to detail to your work, ensuring that precision and correctness is applied across all dimensions of your team's portfolio. You will develop deep observability across all these systems, and grow an operations team responsible for their implementation. You will operate primarily as a people manager, but be unafraid to regularly engage deeply on technical problems with technical stakeholders.
You will work directly with the VP of Engineering to execute on your vision for your team. You will grow and scale your team according to a roadmap that you develop and own, ensuring accountable, reliable delivery of this roadmap. You'll develop both managers and individual engineers in your group to deliver ever more from your organization. You'll collaborate with peers in engineering and stakeholders in research to balance a diverse set of requirements, and make tradeoffs to ensure the best outcomes for the firm.
Your Team
We look for brilliant people with a passion for solving problems through innovation and engineering fundamentals. You’ll work in a collaborative environment that encourages creative thinking and efficient implementation. We embrace experimentation. You’ll work alongside experienced engineers recruited from leading technology companies and selected from the sharpest minds at university programs. You and your teams will collaborate closely with top machine learning researchers.
