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 impact the future of the housing industry while being part of an inclusive 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 contributor to our team, you will act as a coach, mentor, and subject matter expert to drive the success of portions of products or initiatives through the production of insights, new product or change recommendations, process improvement or automation, and predictive modeling. You will apply extensive knowledge of data mining and data analysis methods, be adept with common large data processing techniques, computational programing capabilities, practical problem-solving skills, and have an expert ability to articulate solutions to non-technical consumers or partners. As an advisor, you will partner with data engineering and data management teams, and apply data mining techniques to external or created data sources in preparation for analysis or use of enterprise data assets.
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THE IMPACT YOU WILL MAKE
The Data Scientist Advisor 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:
- Collaborate with product and/or business owners, data engineers, and platform teams to understand business needs and current capabilities, data availability, and alternative uses.
- Design advanced modeling and machine learning applications to support credit risk management, stress testing, property valuations, and business performance for parts of products or initiatives.
- Apply insights from analysis and market trends to develop assumptions and scenarios to perform credit risk and regulatory capital forecasting and stress testing, key assumption sensitivities, and other analytics as necessary.
- Manage monthly risk reporting and provide insightful commentaries that highlight existing and emerging risk trends to help senior management make effective strategic decisions
- Design data visualizations, technical documentation, and non-technical presentation materials to communicate new ideas and high-impact solutions to business partners.
Qualifications
THE EXPERIENCE YOU BRING TO THE TEAM
Minimum Required Experience
- Advanced Degree in Data Science, Economics, Math, Statistics, or a related field
- 6 years of research or industry experience in quantitative finance, economics, credit risk modeling or big data analytics using R, Python or SQL
- Relevant exposure to real estate valuation approaches for both single-family and multifamily properties.
Desired Experiences
- Proven track record of successfully designing and delivering statistical, data science and analytics projects that have strategic business impact with scalability requirements
- Experience with advanced statistical sampling methods, A/B testing, Montecarlo simulation and variance reduction techniques
- Familiarity with corporate finance and CECL accounting, Basel III, Regulatory Capital Requirements and DFAST.
- Strong business acumen with the ability to digest complex issues and communicate in a concise manner to influence desired outcomes.
- Cross-functional business skills with excellent facilitation and communication skills, strong influencing skills, and ability to effectively present to and work with senior management
- Experience mentoring and leading junior analysts and data engineers
- Adept at managing multiple projects through effective planning, developing product roadmaps, delegating and managing people and timelines to ensure successful project completion.
- Skilled in AWS Machine Learning tools such as SageMaker, Lex, Polly, or Forecast
- Experience using Tableau, MicroStrategy and other data visualization tools
Additional Information
REF13445X
The future is what you make it to be. Discover compelling opportunities at careers.fanniemae.com.
Fannie Mae is a flexible hybrid company. We embrace flexibility for our employees to work where they choose, while also providing office space for in-person work if desired. At times, business need may call for on-site collaboration, which means proximity within a reasonable commute to your designated office location is preferred unless job is noted as open to remote.
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].
The hiring range for this role is set forth on each of our job postings located on Fannie Mae's Career Site. Final salaries will generally vary within that range based on factors that include but are not limited to, skill set, depth of experience, certifications, and other relevant qualifications. This position is eligible to participate in a Fannie Mae incentive program (subject to the terms of the program). As part of our comprehensive benefits package, Fannie Mae offers a broad range of Health, Life, Voluntary Lifestyle, and other benefits and perks that enhance an employee's physical, mental, emotional, and financial well-being. See more here.