Leads corporate IT service delivery, coordinating support operations, escalations, incidents, and cross-functional projects while improving workflows and mentoring a team that is expected to grow into formal people management.
Voleon jobs
Investment management company
54 open roles at Voleon
Conduct applied machine learning research for financial market prediction and portfolio optimization, taking models from dataset analysis and experimentation through production implementation and live-trading validation.
Leads high-priority strategy and operations projects, working with senior leaders and cross-functional teams to evaluate opportunities, implement scalable solutions, and improve organizational effectiveness.
Build and scale data infrastructure, tooling, and developer experiences that support research and production workflows, while guiding complex engineering projects and mentoring engineering and research teammates.
Develop and productionize large-scale optimization models and algorithms that guide real-time trading decisions, from research and experimentation through validation in live financial markets.
Develop and productionize large-scale optimization models and algorithms that guide real-time trading decisions, improve risk management, and advance applied research from experimentation through live validation.
Improves systematic trading strategy implementation through quantitative research and market expertise, focusing on execution quality, securities lending, and portfolio financing across asset classes.
Lead a research team while conducting original machine learning research for financial market prediction and portfolio optimization, guiding projects from idea generation through rigorous evaluation and production.
Member of Research Staff, Reinforcement Learning, Voleon Securities
Research and develop reinforcement learning methods for financial market prediction and portfolio optimization, taking models from experimentation through production and evaluating their performance in simulations and live trading.
Architect and maintain batch and real-time streaming infrastructure that powers machine learning research and production trading, partnering with researchers and finance teams to deliver reliable data pipelines, APIs, and feature discovery.
Edit technically demanding research documents and build editorial standards, workflows, and coaching practices that help researchers communicate complex arguments clearly, accurately, and efficiently.
The Staff Editor will shape organization-wide communications by editing investor and executive materials, establishing editorial standards and workflows, and coaching colleagues to write clearly and consistently.
Build and maintain production machine learning systems for quantitative trading, partnering with researchers to turn novel ideas into reliable models, data pipelines, and tools while leading projects and guiding junior colleagues.
Leads a platform engineering team building reliable developer experience and infrastructure services, owning the roadmap, growing the team, and improving software delivery and researcher productivity.
Conduct applied machine learning research for financial market prediction and portfolio optimization, developing and validating models from initial research through production deployment and live-trading evaluation.
Analyze complex financial and research data, monitor data quality and production behavior, and build automated pipelines that turn statistical findings into actionable insights for research staff and leadership.
Improve the reliability of production-critical infrastructure, data pipelines, and trading systems by debugging code, automating workflows, leading deployments, and responding to incidents.
Senior/Staff Software Engineer on the Data Engineering team, building scalable data systems and pipelines that support trading and research while leading complex projects and guiding the team's technical direction.
Design and evolve distributed platform services, scheduling and workflow systems, and storage abstractions that improve the reliability, performance, and scalability of research and trading workloads.
Scale and operate a high-performance research compute cluster, responding to incidents, improving reliability and observability, and engineering automation and infrastructure for on-prem and cloud environments.
Lead applied research on financial market prediction and portfolio optimization, developing machine-learning models from data preparation and experimentation through production deployment and live-trading validation.
Conduct applied machine learning research for financial market prediction and portfolio optimization, taking models from dataset analysis and experimentation through production implementation and live-trading validation.
Lead applied machine learning research across financial market prediction and portfolio optimization, from developing and validating models to production deployment and live-trading evaluation.
Lead applied machine learning research for financial market prediction and portfolio optimization, taking projects from dataset analysis and model development through production deployment and live-trading validation.
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