Senior Associate in Quantitative Analytics

2 weeks ago

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

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


Key Responsibilities

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

  • 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 utilizing 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 apply quantitative methods for enhancing business performance.
  • Ensure that modeling initiatives adhere to established company protocols and recognized modeling standards.
  • Implement validation and testing strategies to evaluate the quality and risk associated with model methodologies, outputs, and processes.
  • Effectively communicate complex technical concepts both verbally and in writing, including technical reports, presentations, and white papers.
  • Conduct comprehensive research using diverse datasets in all areas pertinent to mortgage finance.
  • Analyze and assess 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 industry. 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.


Additional Information

Fannie Mae is an Equal Opportunity Employer, dedicated to promoting a diverse and inclusive workplace. All qualified candidates 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 position is outlined in our job postings, with final salaries varying based on factors such as skill set, experience, certifications, and other relevant qualifications. This role is eligible for participation in an incentive program, subject to its terms. Our comprehensive benefits package includes a wide array of health, life, and lifestyle benefits designed to enhance the overall well-being of our employees.

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