
Enterprise Analytics and Modeling - Software Engineer
At Fannie Mae, we are looking for an experienced Enterprise Analytics and Modeling Software Engineer whose expertise will help drive our data-driven decision-making capabilities. We are seeking a driven, motivated professional with a passion for technology, data, and analytics. The ideal candidate should have a strong technical background in developing applications using enterprise analytics and modeling software, as well as a good understanding of the software development life cycle. They should possess excellent problem-solving and communication skills, the ability to work independently and collaboratively in a fast-paced environment, and the ability to manage multiple projects and competing priorities. We require a Bachelor’s degree in computer science, software engineering, or a related field; a minimum of 3 years of experience with enterprise analytics and modeling software; and experience with developing applications. Proficiency in programming languages such as Python, Java, JavaScript, and R is highly desired. If you are seeking an opportunity to drive data-driven decision-making and join a dynamic team that values collaboration, then this is the job for you!
Responsibilities:
- Develop applications using enterprise analytics and modeling software.
- Manage multiple projects and competing priorities.
- Collaborate with a dynamic team to drive data-driven decision-making.
- Troubleshoot and solve technical issues.
- Adhere to the software development life cycle.
- Utilize programming languages such as Python, Java, JavaScript, and R.
- Monitor and maintain enterprise analytics and modeling software.
- Demonstrate excellent problem-solving, communication, and organizational skills.
- Implement innovative solutions to enhance functionality and performance.
- Utilize a data-driven approach to identify trends and opportunities for improvement.
Engineering
Etc)
Or A Related Field
Mathematics
Python
Bachelor’s Degree In Computer Science
+ Years Of Experience In Software Engineering
Proven Experience In Developing And Deploying Enterprise-Level Analytics And Modeling Solutions
Proficiency In At Least One Programming Language (E.g. Java
R
Experience With Databases
Data Warehouses
And Big Data Platforms
Familiarity With Cloud
Sql
Python
Business Intelligence
Data Analysis
Algorithms
Big Data
ETL
R
Machine Learning
AWS
Data Visualization
Data science
Database design
Statistics
Data Modelling
Communication
Conflict Resolution
Negotiation
Problem Solving
Time management
Interpersonal Skills
flexibility
Critical thinking
Teamwork
Adaptability
According to JobzMall, the average salary range for a Enterprise Analytics and Modeling - Software Engineer in Washington, DC, USA is
$83,742 - $133,204.
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The Federal National Mortgage Association, commonly known as Fannie Mae, is a United States government-sponsored enterprise and, since 1968, a publicly traded company. It engages in the provision of access to affordable mortgage credit and indirectly enables families to buy, refinance or rent homes. It operates through the following segments: Single-Family Credit Guaranty, Multifamily, and Capital Markets.

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