Data Scientist - Finance (Hybrid)

Company Description

At Fannie Mae, futures are made. The inspiring work we do helps make a home a possibility for millions of homeowners and renters. Every day offers compelling opportunities to use tech to tackle housing’s biggest challenges and impact the future of the industry. You’ll be a part of an expert team thriving in an energizing, flexible environment. Here, you will grow your career and help create access to fair, affordable housing finance.

Job Description

As a valued colleague on our team, you will work with your team to apply fundamental techniques to support production of insights, new product or change recommendations, process improvement or automation, and predictive modeling. You will apply basic knowledge of data mining and data analysis methods, have familiarity with common large data processing techniques, computational programing capabilities, and practical problem-solving skills, and articulate solutions to non-technical consumers or partners. Additionally, you will partner with data engineering and data management teams to apply data mining techniques to external or created data sources in preparation for analysis or use of enterprise data assets.

THE IMPACT YOU WILL MAKE
The Finance - Data Science - Associate role will offer you the flexibility to make each day your own, while working alongside people who care so that you can deliver on the following responsibilities:

• Gather and report on business needs and current capabilities, data availability, and alternative uses from product and/or business owners, data engineers, and platform teams.
• Contribute to implementing recommendations regarding modifications to statistical modeling capabilities.
• Build upon basic predictive analytic capabilities to enhance the delivery of business applications, and support the integration of data and statistical models or algorithms. Apply industry practices in research and testing to product development, deployment, and maintenance.
• Partner with more experienced team members to design modeling applications that support risk measurement, financial valuation, decision making, and business performance.
• Partner with team to design data visualizations, technical documentation, and non-technical presentation materials to communicate ideas and solutions to business partners.

Qualifications

THE EXPERIENCE YOU BRING TO THE TEAM

Minimum Required Experiences

• 0-2 years of relevant experience  
• Applying data analytical tools to regression modeling and time series modeling; 
• Knowledge of statistical methods, including: developing and testing hypotheses, using experimental design, and running linear and logistic regressions
• Coding, debugging, and using relevant programming languages (SAS, Python, R) 
• Strong communication skills both verbal and written
• Ability to present information and/or ideas to an audience in a way that is engaging and easy to understand

Desired Experiences

• Bachelor degree or equivalent
• 2 years of relevant experience 
• Experience gathering accurate information to explain concepts and answer critical questions
• Experience defining and managing changes to documents, code, computer programs, websites, and other files to enable collaboration and ensure teams are working from the latest version
• Managing and engaging stakeholders, customers, and vendors, building relationship networks. Working with people with different functional expertise respectfully and cooperatively to work toward a common goal

Tools
Experience using R
Skilled in Python object-oriented programming
Skilled in Microsoft Teams
Skilled in Amazon Web Services (AWS) offerings, development, and networking platforms
Skilled in Excel
Skilled in Tableau
Skilled in SQL
Experience using JIRA
Skilled in SAS
Skilled in RStudio to develop programs in R
Skilled in Plotly
Skilled in TOAD SQL database management tool

Additional Information

Fannie Mae is primarily a hybrid company. We embrace flexibility for our employees while providing office space for in-person work and collaboration. This role is classified as (Remote/Hybrid/Onsite). If you speak with a Recruiter, they will provide you with more information about the definition of this classification.

The future is what you make it to be. Discover compelling opportunities at careers.fanniemae.com.

Fannie Mae is an Equal Opportunity Employer, which means we are committed to fostering a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, religion, national origin, gender