Data Scientist

Job Description

THE COMPANY

At Fannie Mae, futures are made. The inspiring work we do makes an affordable home a reality and a difference in the lives of Americans. Every day offers compelling opportunities to modernize the nation's housing finance system while being part of an inclusive team using new, emerging technologies. Here, you will help lead our industry forward, enhance your technical expertise, and make your career.

As a Senior Data Scientist you will work with a small team of engineers in the development of innovative digital products for our Signal Family division. You will perform data manipulation, business analysis, and quantitative modleing to research and design automated solutions that improve the mortgage market.

You would support our Digital Incubator team which focuses on developing and implementing products that improve the mortgage origination process by removing friction (automated verification) or improving Fannie Mae’s view into the future loan quality (automated collateral analysis). Our cross-functional team consists of ~40 researchers, developers, testers, and operations personnel who take projects from idea stage and bring them to market.

Apply advanced financial or economic analytical methods and models to such processes as valuation of assets, projection of pricing or risk under varying economic scenarios. Use these tools to develop and quantify risk management strategies for mortgage-based assets or their derivatives. Assess prospective economic and regulatory capital requirements for portfolio assets under varying economic conditions. Develop, or provide guidance to the development of computer applications that perform or produce various pricing, capital requirements, risk management or hedging analyses.

THE IMPACT YOU WILL MAKE

In this role you will have the flexibility to make each day your own, while working alongside people who care so that you can deliver on the following responsibilities:

• Confer with product managers, marketing staff, capital market staff, or business unit management to determine analytical or product-related needs regarding product or model out comes to be analyzed.
• Use one or more analytical tools from a suite of mathematical/application tools to perform appropriate analysis on specified product, transaction, market activity, or investment vehicle that has multiple variables affecting potential outcomes.
• Perform ad hoc analyses as needed and assist managers of specific product lines with analytical, valuation, or pricing projects. Collaborate with teams planning or structuring transactions to assist in credit analysis and pricing.
• Redefine and implement the components of new risk indicators. Consult with the business owners, design and implement an interface to record key indicators, research industry best practices of analyzing and reporting key performance indicators.
• Design test cases and test applications for systems used for a variety of analytical, pricing, risk management or credit pricing to ensure the business needs are met and analytics are correctly implemented.

THE EXPERIENCE YOU BRING TO THE TEAM
Education Level (Required)

• Bachelor’s degree or Equivalent

Areas of Study (Preferred)

• Data Science, Economics, Engineering

Experience (Primary)

• 4-6 years of experience in a quantitative field performing analytics
• Mastery of a statistical programming language (Python, SAS, SQL, R or other).
• Ability to communicate with technical and non-technical stakeholders, cross- functionally with different Business Units, write and present effectively
• Strong analytical skills (i.e., easily understand abstract concepts, identify root causes, model downstream effects, keep track of details)
• Self-motivated with an ability to work independently and lead projects
• Plus: Experience with credit risk, collateral risk, the mortgage origination process
• Plus: Experience working in software development environment
• Plus: Experience with data visualization software

EMPLOYMENT

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, gender identity, sexual orientation, personal appearance, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation in the application process, email us at [email protected].
Successful job applicants will be required to successfully complete a background investigation.