Design and develop advanced algorithms to compute technical metrics and understand data patterns for precise quantitative trading analyses. The specific duties include:
Manage meticulous collection and integration of data from a myriad of sources into BigQuery, Google Spreadsheets, MySQL, Hive, and MongoDB databases using both Python and Google Apps Script.
Dissect and interpret complex datasets using Python and R statistical libraries, and perform backtests to evaluate analytical models.
Deploy AI/machine learning techniques focusing on honing predictive models and refining trading algorithms.
Craft WordPress plugins to present complex data in an intuitive manner to elevate user experience.
Configure and optimize VMWare environments for high-level data analysis, and implement/oversee VM proxies leveraging Cloudflare Tunneling to ensure security.
Administer GitLab, WordPress servers, and Cockpit service to ensure optimal system monitoring, version control, and development efficiencies using Jupyter and Notebook.
Create and maintain database instances/server accesses of Hive/MongoDB and MySQL database for application development needs.
Collaborate with development teams for their database access and data needs in multiple environments like Python, R, PHP, and MongoDB Shell.
Monitor database cluster connectivity/security, security breaches, error logs, database/log space, user activities, and resource utilization.
Design and implement effective backup/recovery strategy for hot/archive logs/logical backups of database clusters.
Maintain and manage container farm to support data processing and AI model implementation.
Prepare software environment in container farm and Hadoop/MongoDB clusters to support blockchain data collection and analysis.