The Content Production Specialist will produce high-quality financial education content, including videos, motion graphics, and collateral across multiple platforms. They are responsible for researching and implementing AI-assisted production techniques to improve workflow efficiency and team output.
The Security Analyst will monitor, detect, and analyze potential cyber intrusions while managing security alerts and threat intelligence platforms. They will also conduct vulnerability assessments, perform threat hunting, and collaborate with the team to improve security logging and incident response procedures.
The Senior Manager of Data Engineering will lead and mentor a team of engineers while managing the end-to-end Databricks environment and data infrastructure. They will partner with business and product teams to define the data roadmap and implement scalable AI-driven data solutions.
The VP of Enterprise Data & Analytics will lead the end-to-end strategy for data science, analytics, and data products to establish data as a competitive advantage. This role involves hands-on technical leadership, building data foundations for AI, and managing cross-functional teams to deliver measurable business outcomes.
The Product Manager will lead platform modernization efforts for brokerage systems, including middle office operations and order management. They will define product roadmaps, manage the product lifecycle using Spec-Driven Development, and leverage AI tools to streamline requirements and delivery.
Lead the enterprise data strategy by transitioning the organization from project-based delivery to a governed, productized data foundation. Own the multi-year roadmap, semantic layer strategy, and data governance frameworks while aligning cross-functional teams to achieve business outcomes.
Lead the design and development of scalable automated test frameworks for high-performance order execution systems. Collaborate with cross-functional teams to ensure system reliability, performance, and seamless CI/CD integration.
