Hybrid Power BI & Risk Policy Associate

Morgan-Stanley; New York (NY); Hybrid; USD 125,000 - 140,000; Full time

Benefits offered by this job

Hybrid work schedule

Job summary

Morgan Stanley Bank, N.A. is seeking an Associate, Risk/Policy Management in New York, NY to develop Power BI dashboards and produce recurring management reporting.

You will convert business requirements into technical specs and coordinate with Data Control, Credit Risk IT squads, and Credit Officers to onboard data into systems. You will participate in data curation, testing, and design of incremental refresh policies for large datasets, with a hybrid work arrangement allowing up to two

Qualifications

• Requires a Bachelor's degree in Computer Engineering, Computer Science or a related field.
• Requires three (3) years of experience in the position offered or three (3) years as a Software Engineer, Data Scientist, or a related role.
• Three (3) years of experience with Power BI development, data modeling and semantic layer implementation.

Responsibilities

• Design, development, and production of recurring management reporting.
• Convert business requirements into technical specifications and perform testing.
• Collaborate with Data Control, Credit Risk Agile IT squads and Credit Officers to onboard requirements.
• Participate in data curation activities and ensure data quality.
• Telecommuting permitted up to 2 days per week.

Skills

Power BI

SQL

DAX

M language

Power Query

Python

Excel

JIRA

Data modeling

Vertipaq Analyzer

Education

Bachelor’s degree in Computer Engineering or Computer Science

Tools

SQL Server Management Studio

Power BI Desktop

Power BI Service

Job description

Morgan Stanley Bank, N.A. is seeking an Associate, Risk/Policy Management in New York, NY to develop Power BI dashboards and produce recurring management reporting.

You will convert business requirements into technical specs and coordinate with Data Control, Credit Risk IT squads, and Credit Officers to onboard data into systems. You will participate in data curation, testing, and design of incremental refresh policies for large datasets, with a hybrid work arrangement allowing up to two