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