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Senior Associate in Quantitative Analytics

2 months ago

Washington, United States Fannie Mae Full time

Job Overview

As a key member of our analytics team, you will engage in both theoretical and empirical investigations utilizing a variety of public and proprietary datasets across the mortgage finance sector. Your focus will encompass mortgage products, borrower behavior, investment strategies, and macroeconomic modeling, including housing valuations and interest rate assessments.

Key Responsibilities

The role of Senior Associate in Enterprise Analytics and Modeling will provide you with the autonomy to manage your daily tasks while collaborating with dedicated professionals. Your responsibilities will include:

  • Employing mathematical, statistical, and econometric methodologies to devise innovative and practical solutions that align with business objectives.
  • Conducting or evaluating ad-hoc quantitative analyses and modeling using tools such as SAS, SQL, Python, and R.
  • Utilizing advanced data mining and statistical techniques to generate analytical insights and informed recommendations.
  • Identifying opportunities to leverage quantitative methods to enhance overall business performance.
  • Ensuring that modeling initiatives adhere to established company policies and recognized modeling standards.
  • Implementing validation strategies and evaluating the quality and risk associated with model methodologies and outputs.
  • Effectively communicating complex technical information both verbally and in writing, including technical reports and presentations.
  • Conducting research using various data sources to support all facets of mortgage finance, including investment strategies and macroeconomic models.
  • Performing quality assessments and risk evaluations of model methodologies and outputs, ensuring consistency with other analytical tools.
  • Providing mentorship to junior team members.

This position offers a hybrid work environment, allowing for both in-office and remote work.

Qualifications

Required:

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

As part of the hiring process, candidates will undergo a pre-employment drug screening and a background investigation, which may include a credit check for certain roles.

Additional Information

Fannie Mae is 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.

The compensation range for this role is outlined in our job postings. Final salaries will vary based on factors such as skill set, experience, and 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 our employees.