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 model;
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.