
201 - 500 employees
Founded 2007
πΈ Finance
π€ Artificial Intelligence
Finance β’ Artificial Intelligence
The Voleon Group is an investment management firm that applies machine learning and rigorous statistical research to financial markets. Founded with an academic approach to research, Voleon emphasizes scalable models, risk management, and data-driven financial prediction rather than human intuition. Headquartered near UC Berkeley and operating through Voleon Capital Management LP and affiliates, the company hires Ph. D. -level researchers in statistics, computer science, and related quantitative fields to develop automated investment strategies and manage funds.
π₯ 9 minutes ago
π California β Remote
π΅ $225k - $255k / year
β° Full Time
π Senior
π§βπ» Full-stack Engineer
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201 - 500 employees
Founded 2007
πΈ Finance
π€ Artificial Intelligence
Finance β’ Artificial Intelligence
The Voleon Group is an investment management firm that applies machine learning and rigorous statistical research to financial markets. Founded with an academic approach to research, Voleon emphasizes scalable models, risk management, and data-driven financial prediction rather than human intuition. Headquartered near UC Berkeley and operating through Voleon Capital Management LP and affiliates, the company hires Ph. D. -level researchers in statistics, computer science, and related quantitative fields to develop automated investment strategies and manage funds.
β’ Design real-time distributed trading systems that place orders across a global set of markets and asset classes β’ Integrate with new assets and markets and drive clarity on the resulting requirements β’ Take ownership of entire outcomes, and continue to support and grow them through iteration, documentation, and testing β’ Own observability and remediation tooling used to analyze trading performance and risk β’ Improve the resilience and performance of our trading systems β’ Participate in on-call rotations and drive incident response, root-cause analysis, and postmortems β’ Lead projects spanning a number of engineering teams and collaborate with non engineering stakeholders β’ Mentor and develop other engineers on the team, and share your practices and knowledge with the team and company
β’ Bachelorβs, Masterβs, or Doctorate degree in Computer Science, Engineering, or a related field (or equivalent experience) β’ 5+ years of software engineering experience architecting and operationalizing high-performance, scalable, reliable, and resilient distributed systems β’ Proven expertise in building cloud-native, distributed systems on any one of AWS, Azure, or GCP β’ Demonstrated experience with modern cloud technologies and data observability tools (e.g., CloudWatch, Grafana, Prometheus), and Infrastructure-as-Code (e.g., CloudFormation, Terraform) β’ Experience designing telemetry standards (structured logs, metrics, distributed traces) and building dashboards and actionable alerting β’ Comfortable working in a containerized environment with Docker, Kubernetes, etc β’ Strong coding, analytical, debugging, and troubleshooting skills including use of industry standard tools β’ Great at communicating and influencing stakeholders.
β’ medical, dental, and vision coverage β’ life and AD&D insurance β’ 20 days of paid time off β’ 9 sick days β’ 401(k) plan with a company match
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