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Senior Associate in Quantitative Analytics

2 months ago

Washington, Washington, D.C., United States Fannie Mae Full time
Job Overview

As a key member of our analytics team, you will engage in both theoretical and empirical research utilizing a mix of public and proprietary datasets across various domains of mortgage finance. This includes mortgage products, securities, borrower behavior, investment strategies, property valuation, macroeconomic modeling, and financial asset valuation.


Key Responsibilities

The Senior Associate in Enterprise Analytics and Modeling will have the autonomy to shape their daily tasks while collaborating with dedicated professionals to achieve the following:

  • Employ mathematical, statistical, and econometric methodologies to devise innovative and practical solutions that align with business objectives.
  • Conduct or evaluate ad-hoc quantitative analyses, modeling, or programming using tools such as SAS, SQL, Python, and R.
  • Leverage advanced data mining and statistical techniques to generate analytical insights, formulate sound hypotheses, and provide informed recommendations.
  • Identify and capitalize on opportunities to implement quantitative methods that enhance business performance.
  • Ensure that modeling initiatives adhere to established company protocols and widely accepted modeling standards.
  • Develop and execute validation or testing strategies while assessing the quality and risk associated with model methodologies and outputs.
  • Articulate complex technical concepts clearly and concisely, both verbally and in written formats, including technical reports and presentations.
  • Conduct comprehensive research using diverse data sources in all facets of mortgage finance.
  • Perform evaluations to determine the quality and risk of model methodologies and outputs, ensuring consistency with other analytical tools.
  • Provide mentorship to junior team members.

Qualifications

Required:

A Master's degree in Economics or Statistics, accompanied by three years of experience in financial analysis and modeling within the mortgage finance sector. Proficiency in quantitative analysis, model development, and implementation using SAS, SQL, R, and Python is essential. Strong written and verbal communication skills are also required.


As part of the employment process, candidates will be required to pass a pre-employment drug screening and complete a background investigation, which may include a credit check for certain positions.


Additional Information

Fannie Mae is committed to creating 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.

The compensation range for this role is outlined in our job postings. Final salaries will vary based on factors such as skill set, experience, certifications, and other relevant qualifications. This position is eligible for participation in an incentive program, subject to its terms. Fannie Mae offers a comprehensive benefits package designed to enhance the well-being of employees.