Director, Enterprise Systems Engineering
MotiveFull Time
Expert & Leadership (9+ years)
Berkeley, California, United States
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Common questions about this position
Your teams will operationalize research outputs, power the trading engine, develop abstractions for core business logic, and own systems for executing, reconciling, and bookkeeping trading operations, while ensuring high-performance, high-availability, resiliency, and deep observability.
Voleon fosters a collaborative environment that encourages creative thinking, efficient implementation, and experimentation. You'll work alongside experienced engineers from leading tech companies and top machine learning researchers, with brilliant people passionate about solving problems through innovation and engineering fundamentals.
Responsibilities include effectively managing frontline managers and senior contributors, attracting and retaining top talent, developing ambitious goals and delivering results, growing and scaling the team, developing managers and engineers, and collaborating with peers and research stakeholders.
This information is not specified in the job description.
Strong candidates are people managers who can attract top talent, develop teams, deliver roadmaps reliably, engage deeply on technical problems, ensure precision and correctness, and collaborate across engineering and research to balance requirements.
Investment management using machine learning algorithms
Voleon focuses on investment management by utilizing machine learning to analyze financial market trends. The firm uses advanced statistical models to process large datasets and identify patterns that inform investment decisions, setting it apart from traditional methods that rely on human intuition. Voleon serves institutional clients and operates on a performance-based fee structure, aligning its interests with those of its clients. The company's goal is to provide data-driven insights that optimize investment returns while adapting to changing market conditions.