Enterprise Analytics and Modeling - Data Science - Advisor-100691-TEMPLATE

Company Description

GENERAL BOILERPLATE
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.

CORPORATE PROFESSIONAL
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.

TECH
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.

EARLY CAREER
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’ll have access to continuous learning, grow your career, and help create access to fair, affordable housing finance.
 

Job Description

***HIRING MANAGERS AND DELEGATES: DO NOT EDIT THIS SECTION.***

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.

THE IMPACT YOU WILL MAKE
The Enterprise Analytics and Modeling - Data Science - 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

***HIRING MANAGERS AND DELEGATES: DO NOT EDIT THIS SECTION.***

THE EXPERIENCE YOU BRING TO THE TEAM

Minimum Required Experiences

• Advanced Degree in Data Science, Economics, Math, Statistics, or a related field
• 6 - 10 years of research or industry experience in quantitative finance, economics, credit risk modeling or big data analytics
• 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

Skills

Strong people management skills such as influencing, negotiating, persuading others, facilitating meetings, and resolving conflict.

Skilled at presenting information and/or ideas to an audience in a way that is engaging and easy to understand.

Experience identifying and selecting strategic options, and identifying resources to meet the defined objectives.

Adept at managing multiple projects through effective planning, developing product roadmaps, delegating and managing people and timelines to ensure successful project completion.


Tools

Skilled in R, Python Language and object-oriented programming
Skilled in AWS Machine Learning tools such as SageMaker, Lex, Polly, or Forecast
Experience using Tableau, MicroStrategy and other data visualization tools
 

Additional Information

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].
 

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.