Lead Quantitative Modeler

Washington, DC

Employer:

Description

At Fannie Mae, 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 a collaborative team thriving in an energizing environment. Here, you will grow your career and help create access to affordable housing finance.

Job Description

As a valued colleague on our team, you will act as team lead while conducting theoretical and empirical research with public and proprietary data in all areas of the mortgage finance business. This may include mortgage products and securities, borrower behavior, investment and hedging strategies, residential property valuation, macroeconomic models, including housing prices and interest rate, financial valuation of finance assets and derivatives, economic capital, and stress testing. Additionally, you will coach and mentor team members.

THE IMPACT YOU WILL MAKE
The Enterprise Model Risk - Quantitative Modeling - Lead Associate 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:

Produce model validation reports, and initial/ongoing assessments of models, evaluating performance-in-use and whether changes in the environment are creating increased model risk that needs to be mitigated.
Apply advanced skill, knowledge, and/or experience to complete model validation projects aligned with established company policies and industry-wide modeling practices.
Contribute to developing validation or testing strategies and assessing the quality and risk of model methodologies, outputs, and processes and applying understanding of relevant business context to interpret model results, monitor performance, and assess risks.
Communicate technical subject matter clearly and concisely to department leadership and teams.

Minimum Required Experiences

4 years of experience
Bachelor's degree or equivalent

Desired Experiences

An advanced degree (PhD. or Masters) in a quantitative field such as Statistics, Economics (with an Econometrics emphasis), Applied Math, Physics, or Computer Science.
Experience with a large financial institution which has Enterprise Risk Management functions that meet the needs of highly regulated financial institutions.
Experience in developing models or validating models.
Experience with machine learning models.
Familiarity with the broader technology landscape, including emerging trends in Large Language Models and Generative.

Skills:

Understanding the business context which may create a need for models or other analytical product solutions.
Fast-learning, building on a strong foundation of knowledge to continuously learn new techniques for building and managing model risks well.
Ability to communicate technical subject matters clearly and concisely, both verbally and through well-written communications including Validation Reports.

Tools:

Advanced skills in using computing languages often used in model development such as Python and R.
Advanced skills in machine learning libraries such as Numpy, Pandas, Statsmodel, TensorFlow, PyTorch, or Scikit-Learn.
Advanced skills in using computing languages that facilitate producing technical documents about models, those with equation editors and convenient ways of producing charts and tables which describe models and summarize model diagnostics.

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

Fannie Mae is a flexible hybrid company. We embrace flexibility for our employees to work where they choose, while also providing office space for in-person work if desired. At times, business need may call for on-site collaboration, which means proximity within a reasonable commute to your designated office location is preferred unless job is noted as open to remote.

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 careers_mailbox@fanniemae.com.

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.

Qualifications
Active Directory (AD), Active Directory (AD), Amazon Web Services (AWS), Artificial Intelligence (AI), Atlassian JIRA, Authentication Management, Backup and Recovery (Software), Business Insight Skills, Business Process Management Skills, Calendar and Scheduling Tools, Cleaning and Transforming Data, Cloud Technology, Collaborating Cross-Functionally, Communicating in Technical Writing, Communicating Technical Information, Communication, Configuration Management (CM), Conflict Resolution, Coordination, Customer and Market Insights, Customer Relationship Management (CRM), CyberArk, Cybersecurity Analysis, Data Analysis, Data Analysis Interpretation {+ 60 more}
Education:
Doctorate, Master's Level Degree (Required)

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

Fannie Mae is a flexible hybrid company. We embrace flexibility for our employees to work where they choose, while also providing office space for in-person work if desired. At times, while business need may call for on-site collaboration, which means proximity within a reasonable commute to your designated office location is preferred unless job is noted as open to remote.

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 careers_mailbox@fanniemae.com

Requisition compensation:
138000
to
180000

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