The Business Operations Director will act as a strategic partner to the recruiting leadership team to design and execute operational frameworks and organizational planning. They will also oversee the development of recruiting metrics, process standards, and cross-functional initiatives to drive operational excellence.
You will lead complex initiatives from system design to deployment while building scalable data infrastructure and tooling. Additionally, you will provide technical guidance to engineering and research staff to foster growth and improve productivity.
You will lead the design and evolution of the analytics infrastructure while owning critical recurring pipelines and foundational datasets. You will also drive cross-team technical alignment to standardize outputs and improve the reliability and performance of distributed compute systems.
Build and scale data infrastructure and tooling to support research and production workflows. Collaborate with diverse engineering teams to define technical roadmaps and mentor other engineers.
Oversee fixed income trade settlements, corporate actions, and reconciliations between internal records and external providers. Collaborate with trading and accounting teams to enhance operational infrastructure and automate manual processes.
Lead the management of fund accounting, post-trade operations, and financial reporting across multiple asset classes. Collaborate with technical teams to automate processes and mentor junior fund accountants.
Build, automate, and maintain a scalable, secure, and performant Linux infrastructure using modern tooling. Develop operational tooling for API integrations and system orchestration while managing monitoring and alerting systems.
The role involves managing fund accounting, post-trade operations, and financial reporting, including monthly and annual statements. The candidate will maintain internal accounting systems and collaborate with service providers to ensure internal control standards are met.
Design and implement distributed scheduling, workflow systems, and scalable platform services to power research and trading. Provide technical leadership and mentorship to engineering and research staff while managing complex projects from design to production.
The SRE will improve, manage, and monitor production-critical infrastructure and data pipelines to ensure system reliability. Responsibilities include automating manual workflows, diagnosing bugs, and participating in an on-call rotation.
Design and implement scalable data processing technologies, ingestion systems, and production-critical pipelines. Lead complex projects from requirements gathering to delivery while providing technical guidance and mentorship to the engineering team.
Scale and maintain a high-performance research compute cluster to ensure maximum uptime and reliability for machine learning workloads. Triage real-time operational issues while engineering systemic architectural fixes and improving observability frameworks.
Lead an engineering team to build and operate foundational services, focusing initially on developer experience, CI/CD, and deployment automation. Manage the domain roadmap, hire and mentor engineers, and collaborate across the firm to improve engineering velocity and researcher productivity.
Lead the design and architecture of Voleon's analytics infrastructure to support research reporting and analysis across strategies. Own critical analytics pipelines and drive the transition toward a standardized, observable, and query-native analytics platform.
The Staff Editor will oversee the quality and consistency of all written communications, including investor letters and executive talking points. They will also build the firm's editorial infrastructure by developing style guides, workflows, and training programs for staff.
Architect and implement core components for a Batch and Realtime Streaming platform, including data ingestion pipelines and storage systems. Collaborate with ML researchers to design intuitive interfaces and optimize data pipelines for high performance and scalability.
The role involves editing research proposals, white papers, and internal reports to ensure clarity, structure, and technical accuracy. Additionally, the editor will develop editorial standards, style guidelines, and lead writing clinics for research staff.
Partner with PhD researchers to design and implement production-quality machine learning models for quantitative trading strategies. Develop and maintain complex data pipelines and extensible tools to accelerate the model development lifecycle.
