Job Description
Description:
Responsibilities and Skills include:-
- Data science background statistical modeling, econometric modeling, stress testing/CCAR models, PPNR models.
- R programming experience to create graphical representations or simulations of data as well as conduct analysis of that data.
- Other job duties include designing statistical models, formulating procedures, and providing technical assistance for clients.
- Linux experience (i.e. some technology/programming experience).
- Data preservation and decommissioning execution experience.-Be able to tell what a Windows operating system versus a Linux one represents, what is the difference between a database storing structured data vs. non-structured data, recognize the differences and challenges between an application hosted on-prem vs an application hosted in the cloud, distinguish between archiving vs migrating data between applications, understand the difference between a database table vs a database record, be able to explain what the SQL language is used for.
- Ability to communicate effectively to all levels of engagement management and clients, ability to balance multiple projects and responsibilities.
- Professional demeanor and strong communication skills, both written and oral, ability to work in a team environment.-Proficiency with Microsoft Word, Excel, and Access.
Additional Details for Role
- Must Have :Linux, Python, Any DB experience, Any ETL pipeline experience, Databricks/AWS, Git and Jenkins
- Nice to Have: Tableau, Airflow, Snowflake
Preferred Skills
- Must Have :Linux, Python, Any DB experience, Any ETL pipeline experience, Databricks/AWS, Git and Jenkins
- Nice to Have: Tableau, Airflow, Snowflake
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