The primary focus will be development of Extract-Transform-Load logic using CloverETL and Python scripting, migration of legacy scripted solutions to CloverETL, database development in DDL/DML (primarily Oracle), and operational support of the ETL software infrastructure and processes.
A Candidate will be a member of a small team of business analysts and developers who support front office, middle office, market risk, and finance users in collecting, transforming, loading, and reporting end of day and intraday fixed income and derivative trading positions, and other financial data.
The ideal candidate will have experience in the manufacturing industry, having experience with Dynamics AX Finance and Trade & Logistics modules, as well as performing analyst duties such requirements gathering, GAAP analysis, training, and user support.
The Cyber Fraud Intelligence Analyst is responsible for conducting in-depth research to identify and develop intelligence for cyber-related financial crimes and threats targeting the financial industry.
Testing support requires a review of testing results/observations generated from various testing teams and validating the accuracy of the credit data, engaging SMEs for review and obtaining additional documentation needed for validation.
Develop and manage business analysis phase/stage plans (i.e., major activities, activities, tasks, milestones, schedule, resource allocation); lead and direct small, medium and large business line teams in medium to large projects.
Support daily database development, including testing and defect resolution or data modification requests and investigate and develop new solutions for business operations; involving needs analysis studies and status reports.