Data Modeling

Overall exp 8+ years, excellent communication skills, relational databases and data modeling required,  , 50/50 data modernization and architecture- at least knowledge, Advance Excel.
5+ years of work experience, knowledge of mortgage financing is highly desirable.
Knowledge of relational databases and SQL.
Support enterprise wide data modernization, strategies, what problem we have and what future data architect looks like
Involved with data inventories
Create artifacts and recommendations for the data team.
Future platform and services between different systems.
Knowledge of finance and accounting is important
Deals with lot of Data
Market and enterprise risk
Pure Data Architect, does not know
Financial background is important
Excellent communications skills, dealing with many systems and applications
Meeting with individual system and application
Some exp with Data Modeling.
Relational data modeling is a must
Person knows about mortgage pricing, what kind of risk and how they are assessed, quantitative risk are bog plus
Some exp with Data Architecture and modernization
Engaged in a bigger team and participated in discussion.
RDBMS is a must have
AWS and Snowflake is a plus
There is no scripting required
Analysis role, critical analytical role, knowledge about financials is required.
Not looking for Data Modeling tools like Erwin.
Advanced excel is a must have, a lot of data collection. Put the data together, look up, find the connection between the data, do some data analysis, perspective in data modeling.
Focused for the finance side and less on technology.
Fannie/Freddie exp is preferred.
Portfolio, what drives those risks, assessed those numbers, goes into regulators or the upper management, where those numbers come from.
More data analysis work here and less data architecture.
Data architecture is also an important duty for this position, wider architecture initiative, and participation in those meetings