Fair Lending Analytics & Modeling, Lead Associate
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Job Location:
Washington, AR - USA
Monthly Salary:
Not Disclosed
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
Playing an essential role in the U.S. economy Fannie Mae is foundational to housing finance. Here your expertise can help fuel purpose-driven innovation that expands access to homeownership and affordable rental housing across the country. Join Fannie Mae to grow your career and help people find a place to call home.
Job Description
As a Lead Associate you will support Fannie Maes analysis of fair lending compliance and litigation risk. You will be part of a small and impactful team of quantitative fair lending professionals using statistical methods to evaluate models decision tools products policies and initiatives for compliance and litigation risk.
THE IMPACT YOU WILL MAKE
The Fair Lending - Analytics & 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:
Use statistical and other quantitative methods to evaluate models (including artificial intelligence/machine learning models) decision tools products policies and initiatives for fair lending compliance and litigation risk.
Provide recommendations that mitigate fair lending compliance and litigation risk.
Apply best practices in fair lending testing and monitoring to support fair lending risk identification measurement and mitigation.
Partner with the team to design data visualizations technical documentation and nontechnical presentation materials to communicate ideas and solutions to lawyers business partners management and regulators.
Support the management of data access and systems to facilitate current analyses and support the preservation of historical analyses.
THE EXPERIENCE YOU BRING TO THE TEAM
Minimum Required Experience:
4 years related experience
Bachelor degree or equivalent
Experienced in data analytics and modeling including with linear and logistic regressions
Skilled in Python R and Excel
Familiarity with AI/ML
Ability to work with people with different functional expertise respectfully and cooperatively towards a common goal
Excellent written and oral communication skills with ability to deliver complex technical information to audiences with various backgrounds
Desired Experiences:
Bachelor degree or equivalent in Economics Statistics Computer Science or other quantitative field
Experience with the financial services industry with a focus in credit risk modeling or mortgages
Experience in model validation model risk oversight and/or model development
Knowledge of the use of statistical analysis to evaluate compliance with non-discrimination laws such as fair lending and fair housing
Skilled in applying econometric and statistical techniques to mortgage performance modeling property and financial asset valuation modeling
Familiarity with the Single Family and/or Multifamily mortgage business
Experience with Tableau and R Markdown
Experience in AWS and machine learning tools such as SageMaker
Fair Lending - Analytics and Modeling - Lead Associate
Target Pay Range: $121000 - $158000 a year
#LI-Hybrid #LI-ME1
Qualifications
Education:
Bachelors Level Degree (Required)The future is what you make it to be. Discover compelling opportunities at most roles employees are expected to work onsite on a regular basis at their designated office -office work cadence is determined by your manager. Proximity within a reasonable commute to your designated office location is preferred unless the job is noted as open to remote.
Fannie Mae is an equal opportunity employer and considers qualified applicants for employment without regard to race color religion sex national origin disability age sexual orientation gender identity/gender expression marital or parental status or any other protected factor. Fannie Mae is committed to providing reasonable accommodations to qualified individuals with disabilities who are employees or applicants for employment unless to do so would cause undue hardship to the company. If you need assistance using our online system and/or you need a reasonable accommodation related to the hiring/application process please complete this form.
The hiring range for this role is set forth below. 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 employees physical mental emotional and financial well-being. See more here.
Requisition compensation:
121000to
158000Required Experience:
IC
Key Skills
- Adobe Analytics
- Data Analytics
- SQL
- Attribution Modeling
- Power BI
- R
- Regression Analysis
- Data Visualization
- Tableau
- Data Mining
- SAS
- Analytics
About Company
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 impact the future of the housing industry while being part of an inclusive team thriving in an energizing, fle ... View more
