Fannie Mae

Data Science Advisor

Fannie Mae$155K — $209K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 6+ years of experience in data science, machine learning, and AI solution development including GenAI workflows.
  • Master's degree in Data Science, Economics, Mathematics, Statistics, Computer Science, or a related field.
  • Advanced proficiency in Python and core data science techniques.
  • Experience with AWS services including Redshift, Athena, S3, and AWS Data Wrangler.
  • Strong analytical skills to support testing, validation, and decision-making.
  • Excellent communication skills for conveying technical concepts to non-technical stakeholders.
  • Curiosity and adaptability in applying new AI technologies.

Responsibilities

  • Partner with Audit and Technology teams to create a unified Audit platform.
  • Develop advanced analytics and AI solutions for complex challenges.
  • Design and validate audit solutions with advanced data science methods.
  • Apply data science to enhance risk measurement and decision-making.
  • Create executive materials that summarize high-impact technical strategies.
  • Provide thought leadership on using analytics for business challenges.
  • Build systems for continuous monitoring and automated risk detection.

Benefits

  • Comprehensive health, life, and voluntary lifestyle benefits package.
  • Opportunities for professional development and continuous learning.
  • Flexible work environment with hybrid options available.
  • Engagement in an incentive program based on performance.
Full Job Description
Job Description

As a valued contributor to our Internal Audit team, you will serve as a coach, mentor, and subject matter expert, advancing products and initiatives through insights, recommendations, process improvement, automation, and predictive modeling. You will apply expertise in data science, machine learning, AI, large-scale data processing, computational programming, and practical problem solving, while clearly explaining technical solutions to non-technical partners and stakeholders. As an advisor, you will partner across Audit, Technology, Enterprise AI, data science, and risk to architect reusable products on a unified platform that delivers AI-enabled capabilities for stronger risk detection, continuous monitoring, evidence generation, and control-risk reporting. You will also help shape the organization's strategy for applying AI and data science to deliver insights and sound business judgment. In addition, you will provide expert guidance on well-governed models and analytical tools, partnering with senior leadership to advance business and AI transformation and innovation.

THE IMPACT YOU WILL MAKE

The Data Science Advisor 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:
  • Partner across Audit, Technology, and platform teams to build a unified Audit platform with reusable data, analytics, automation, GenAI services, model operations, secure delivery, and enterprise controls.
  • Develop advanced analytics, AI, and data science solutions to solve complex business and technical challenges and shape technical direction.
  • Design, test, and validate audit solutions using advanced data science methods aligned with audit standards and methodology.
  • Apply data science to improve risk measurement, valuation, decision-making, and business performance.
  • Create technical strategies and executive-ready materials that communicate high-impact solutions to leaders and stakeholders.
  • Provide thought leadership on applying advanced analytics and data science to business challenges.
  • Build solutions for continuous monitoring, risk detection, automated evidence generation, and deeper insights.
  • Assess model effectiveness and fitness for use, ensure testing and monitoring, and explain key drivers and limitations.
  • Lead cross-functional teams through the model lifecycle, aligning changes with business goals.
  • Stay current on industry practices, regulations, and internal standards to ensure compliance and escalate issues as needed.
  • Advise senior leaders on priorities, balancing accuracy, speed, cost, and governance.
  • Support the Model Owner and Lead Model User in building consensus, prioritizing requirements, testing changes, resolving findings, and sharing best practices.
  • Drive continuous improvement in modeling and analytics while promoting accountability, transparency, and proactive model risk management.
  • Represent the Analytics team in internal forums, regulatory settings, and industry conferences, sharing best practices and thought leadership.


THE EXPERIENCE YOU BRING TO THE TEAM

Minimum Required Experiences
  • 6 years of related experience in data science, machine learning, and AI solution development, including GenAI workflows.
  • Master's degree in Data Science, Economics, Mathematics, Statistics, Computer Science, or a related field.
  • Advanced proficiency in Python and core data science and machine learning techniques.
  • Experience building end-to-end data science solutions using AWS data services such as Redshift, Athena, S3, and AWS Data Wrangler.
  • Strong analytical skills to support testing, validation, model assessment, and business decision-making.
  • Strong communication skills, including the ability to explain technical concepts and solutions to non-technical partners and stakeholders.
  • Shows curiosity and adaptability in learning and responsibly applying new technologies, including artificial intelligence, to reimagine how we work.


Desired Experiences
  • PhD in Data Science, Economics, Mathematics, Statistics, Computer Science, or a related field, or equivalent additional experience.
  • Experience in Internal Audit, Risk Management, Model Risk Management, or other highly regulated environments.
  • Experience applying advanced data science methods such as regression, SVM (support vector machines), random forests, and neural networks.
  • Strong technical writing, presentation, and executive stakeholder communication skills.
  • Proven ability to influence and collaborate across cross-functional teams, including Audit, Technology, AI, and Risk partners.
  • Experience with AI engineering tools and patterns, such as Anthropic or OpenAI models and tool-calling frameworks.


Internal Audit - Data Science - Advisor

#LI-Hybrid

Qualifications

Education:
Master's Level Degree (Required)

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.

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:
155000
to
209000

About Fannie Mae

As the leading source of residential mortgage credit in the U.S. secondary market, Fannie Mae is supporting today's economic recovery and helping to build a sustainable housing finance system. They exist to provide reliable, large-scale access to affordable mortgage credit in all communities across the country at all times so people can buy, refinance, or rent homes. Fannie Mae is working to establish and implement industry standards‚ develop better tools to price and manage credit risk‚ build new infrastructure to ensure a liquid and efficient market and facilitate the collection and reporting of data for accurate financial reporting and improved risk management. Fannie Mae is committed to being their customers’ most valued business partner and delivering the products, services and tools their customers need to serve the entire market confidently, efficiently and profitably. Ultimately‚ Fannie Mae measures their progress not only by paying taxpayers and improving the housing finance system‚ but also by the difference they make in people’s lives.

Fannie Mae Careers

Join the vibrant team at Fannie Mae, where we are committed to solving the challenges of today's housing market while fostering inclusive growth and innovation. As a cornerstone of the American mortgage system, Fannie Mae offers unparalleled job opportunities that empower you to influence the future of housing finance. Work You’ll Do At Fannie Mae, you will collaborate with some of the brightest minds in the finance and technology sectors. Our mission is to ensure access to affordable housing for people across the United States, and your work here will contribute to that goal. With roles ranging from financial analysis to technology development, your career at Fannie Mae will be marked by growth, leadership, and the pursuit of excellence. Innovate and Lead Fannie Mae stands at the intersection of financial services and innovative technology solutions, making it an ideal place for those who are driven to explore new ideas and push boundaries. Our culture thrives on innovation and leadership, encouraging every team member to bring forward ideas that drive efficiency and effectiveness. Professional Growth and Development Career advancement at Fannie Mae is not just a possibility—it is an expectation. We are dedicated to the professional growth of our employees through robust training programs, leadership workshops, and continuous learning opportunities. Whether you are looking to sharpen your analytical skills, enhance your leadership capabilities, or dive deep into the housing market dynamics, Fannie Mae provides the resources to achieve your professional goals. Diversity and Inclusion At Fannie Mae, we believe that diversity fuels innovation. We are committed to fostering an inclusive environment where diverse voices are heard and valued. Through diversity training and a culture that celebrates unique perspectives, we ensure that all team members can contribute to their fullest potential. Join Our Team Explore the array of job opportunities at Fannie Mae, from internships for budding professionals to full-time positions for seasoned experts. We are hiring individuals who are passionate, curious, and eager to make a difference. Our team is looking for candidates who not only have the necessary skills but also embody our values of integrity, impartiality, and respect. Benefits and Perks Working at Fannie Mae comes with a comprehensive benefits package designed to support the health, well-being, and financial security of our employees and their families. From competitive health benefits and retirement plans to flexible working arrangements and wellness programs, we prioritize the well-being of our team members. Stay Connected Networking and staying connected are key components of building a successful career at Fannie Mae. Engage with us through various professional networking events, online communities, and social platforms to stay updated on new positions, company news, and industry trends. Apply Now Ready to take the next step in your career? Review our open positions, tailor your resume, and prepare for an interview that could set you on a path to a rewarding career at Fannie Mae. We are excited to see how your vision, skills, and enthusiasm can contribute to our team and the broader mission of affordable housing. Explore Fannie Mae Jobs Discover the exciting and impactful career paths available at Fannie Mae. Each position offers the opportunity to challenge yourself, contribute to a significant cause, and work within a culture that values innovation, leadership, and community impact. Join us in shaping the future of housing finance—apply today and be part of a team that is dedicated to making a difference.
Learn more about Fannie Mae
Size
7,400 employees
Industry
Founded
1938
NASDAQ

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