Data Scientist - Capital Management (Remote)

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.

As a valued contributor to our team, you will advise the team and management on the overall direction of analytical activities, and data infrastructure and database maintenance.

THE IMPACT YOU WILL MAKE

Responsibilities

The Enterprise Risk - Analytics and Modeling - 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

• Translate data outputs to customers, business partners, and key stakeholders.
• Analyze and monitor predictive data models and machine learning tools to help fuel Fannie Mae's innovation and impact.
• Review analytic activities and develop testing and modeling techniques.
• Provide recommendations to the business for analytic support, testing activities, and quantitative analysis.

Qualifications

THE EXPERIENCE YOU BRING TO THE TEAM

Minimum Required Experiences

• Bachelor degree or equivalent
• 6 years

• Proficient in statistical programming and data processing languages including Python, R and SQL.
• Skilled in presenting information and/or ideas to an audience in a way that is engaging and easy to understand using graphical representation of information in the form of a charts, diagrams, pictures, and dashboards with programs and tools such as Excel, Tableau, or other BI tools.
• Experience in writing model development and model testing documents. Being able to rigorously articulate the theoretical construct and empirical results of modeling and analytical results.
• Experience in applying advanced econometric and statistical techniques to time series, panel data, discrete event modeling, mortgage performance modeling, property and financial asset valuation, and other quantitative problems in mortgage finance.
• Extensive experience in statistical modeling and data analytics
• Experience with Internal Capital modeling and analytics, as well as Regulatory Capital management.
• Functional Skills
• Technical Skills
• Experience in analyzing data to identify trends or relationships to inform conclusions about the data. Skilled in discovering patterns in large data sets, and conducting impact assessments, identifying control gaps, remediating risk, etc.

Desired Experiences

• Experience with developing and deploying machine learning models using AWS Sagemaker.
• At least 5 years’ experience with modeling and analytics functions.
• Master's Degree in Statistics, Mathematics, or similar Quantitative Subjects.
• Experience with climate risk quantitative analysis.

Additional Information

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

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). If you speak with a Recruiter, they will provide you with more information about the definition of this classification.

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.