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Cloud Cost Optimization Specialist
hace 2 meses
About Us
RavenPack is a leading provider of big data analytics solutions for the financial services industry. Our clients rely on us for our speed and accuracy in analyzing large amounts of unstructured content. Our products enable clients to enhance returns, reduce risk, and increase efficiency by systematically incorporating the effects of public information into their models or workflows. Our clients include the most successful hedge funds, banks, and asset managers in the world.
Job Summary
We are seeking a skilled Cloud Cost Optimization Specialist to join our team. As a key member of our Operations Team, you will be responsible for managing and enhancing cloud costs for RavenPack. You will collaborate with our finance, operations, and technology teams to implement and uphold financial operations practices and methodologies, emphasizing the analysis of cloud usage and expenditure data to pinpoint areas for cost optimization.
Key Responsibilities
• Monitor and analyze cloud usage and spending data to identify cost-saving opportunities
• Collaborate with finance, operations, and technology teams to spearhead cost optimization initiatives
• Recommend adjustments to cloud service usage, pricing models, and purchasing options
• Develop and maintain financial forecasts and track cloud costs
• Create reports and dashboards to monitor and communicate cloud cost optimization efforts to stakeholders
• Translate reports and forecasts into stakeholder insights (ROI, risk analysis...)
• Support research and selection of external cloud solutions and services
• Design internal data policies and processes
• Conduct training sessions for colleagues
• Troubleshoot operational and performance issues
• Fulfill on-call duties as part of the team
Requirements
• 2+ years of experience in a similar Cloud Cost Optimization or Financial Operations role
• 1+ year of Linux SysAdmin experience
• 1+ year of AWS experience
• Proficiency in Excel or Google spreadsheets
• Ability to communicate effectively to stakeholders
