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Open nowPosted today

Model Risk Reporting and Production Analyst Lead

Fannie Mae51 open roles

Where
Washington DC
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Your applicationOpen nowModel Risk Reporting and Production Analyst LeadFannie Mae · Washington DC

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The clock on this job

Early applications get read.

12.7% of postings close within 7 days. Measured by our own scanner across the market. Fannie Mae postings stay open a median of 10 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.5%3 days
  3. 12.7%7 days
  4. 20.4%14 days
  5. 35.6%30 days
  6. 58.7%60 days
This job: posted today

Fannie Mae median: 10 days open

The posting

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 valued colleague on our team, you will act as a team lead to produce insights, new product or change recommendations, process improvement or automation, and predictive modeling. You will coach, mentor, and guide the team in the application of data mining and data analysis methods, be adept with common large data processing techniques, computational programing capabilities, practical problem-solving skills, and have an ability to articulate solutions to non-technical consumers or partners. As a lead associate, you will partner and coordinate with data engineering and data management teams, and provide guidance to your team in the application of data mining techniques to external or created data sources in preparation for analysis or use of enterprise data assets.

THE IMPACT YOU WILL MAKE

The Model Risk Reporting and Production Analyst Lead 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:

  • Coordinate product and/or business owners across divisions or product lines, data engineers, and platform teams to define business needs and advise on current capabilities, data availability, and alternative uses.
  • Lead the implementation of new statistical modeling capabilities which requires skillful coordination of multiple processes, systems, and/or stakeholders.
  • Apply advanced analytic capabilities to enhance the delivery of business applications, and support the integration of data and statistical models or algorithms.
  • Apply new or innovative practices in research and testing to product development, deployment, and maintenance.
  • Design new modeling applications to support risk measurement, financial valuation, decision making, and business performance.
  • Design data visualizations, technical documentation, and non-technical presentation materials to communicate new ideas and high-impact solutions to business partners.
  • Develop and optimize complex queries, stored procedures, and database objects to support reporting, analytics, and AI-driven use cases.
  • Foster a culture of continuous improvement and quality excellence.

THE EXPERIENCE YOU BRING TO THE TEAM

Minimum Required Experiences:

  • 4 years of relevant experience
  • Proficiency in data analytics and visualization using python, SQL, Tableau, or other data science coding language
  • Bachelors degree in Business Analytics, Computer Science, Data Science, Engineering Finance, Math, Physics, Statistics, or a related field
  • Shows curiosity and adaptability in learning and responsibly applying new technologies, including artificial intelligence, to reimagine how we work

Desired Experiences:

  • Masters or PhD* in Data Science, Economics, Math, Statistics, or a related field (*or comparable experience)
  • Hands-on experience designing and developing ETL/ELT pipelines and data processing solutions; integrating LLMs through APIs or managed AI platforms
  • Develop and integrate Generative AI solutions using LLMs, including prompt engineering, model/API integration, and retrieval-based applications for use cases such as data discovery, metadata generation, data quality analysis, SQL generation, document processing, and analytics automation.
  • Experience in Agile Development and SDLC, including translating business requirements into technology implementation; application testing (SIT/UAT); deployment software (e.g., JIRA, Git); and scrum management

Model Risk Reporting and Production Analyst Lead

Target Pay Range: $141,000 - $184,000 a year

#LI-Hybrid #LI-ME1

Qualifications

Education:

Bachelor's Level Degree

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

For most roles, employees are expected to work onsite on a regular basis at their designated office location. In-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 employee's physical, mental, emotional, and financial well-being. See more here.

Requisition compensation:

141000

to

184000

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