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Fannie Mae · 2 months ago

Data Science Principal – Internal Audit

Reston, VA

Full-time

Hybrid

Lead/Staff

$200K/yr - $269K/yr

8+ years exp

Fannie Mae is foundational to housing finance, and they are seeking a Data Science Principal for their Internal Audit Innovation team. This role focuses on leveraging AI and data science to transform internal audit processes, driving change through innovative models and predictive analytics.

Financial Services

Comp. & Benefits

H1B Sponsor Likely

Responsibilities

Collaborate with senior leaders across business, product, and technology groups to understand business needs and advise on current capabilities, data availability, and alternative uses for highly visible initiatives that have high risk and complexity

Inform technical strategy development and planning related to statistical modeling capabilities

Support thought leadership on predictive analytic capabilities to enhance the delivery of business applications and support the integration of data and statistical models or algorithms

Apply innovative industry practices in research and testing to product development, deployment, and maintenance

Design, build, and deploy analytics and machine learning models to identify anomalies, predict emerging risks, and strengthen audit coverage

Develop and maintain data pipelines, ETL, workflows, and automation scripts to support ongoing assurance and continuous control monitoring

Perform hands-on data wrangling, feature engineering, and statistical analysis on large complex datasets

Design new modeling applications to support risk measurement, financial valuation, decision making, and business performance for products or initiatives

Create interactive dashboards and visualization tools to deliver insights directly to the audit teams and leadership techniques

Qualification

Data SciencePredictive AnalyticsStatistical ModelingMachine LearningData VisualizationData EngineeringProcess ImprovementCollaborationCommunicationMentoring

Required

8 years experience in data science, analytics, or a related field

Master's degree in Data Science, Economics, Math, Statistics, or a similar discipline

Experience analyzing large, complex datasets using advanced data mining techniques

Ability to collaborate with senior leaders across business, product, and technology groups to align data-driven solutions with strategic goals

Expertise in shaping technical strategy and planning for statistical modeling and predictive analytics

Proven success in designing and implementing models for risk measurement, financial valuation, decision-making, and business performance

Strong communication skills to explain complex concepts to both technical and non-technical audiences, including leadership

Proficiency in producing technical documentation, data visualizations, and presentation materials

Experience driving process improvement and automation for high-risk, high-complexity initiatives

Demonstrated ability to partner effectively with data engineering and data management teams

Preferred

PhD in a relevant field or equivalent experience

Leadership in predictive analytics and model integration into business applications

Familiarity with cutting-edge industry practices in research and product development

Expertise in enterprise-level risk and financial modeling

Strong mentoring and subject matter leadership in data science within large organizations

Benefits

Health, Life, Voluntary Lifestyle, and other benefits and perks that enhance an employee's physical, mental, emotional, and financial well-being.

Company

Fannie Mae

Glassdoor4.2

Fannie Mae creates opportunities for people to buy, refinance, or rent a home.

Founded in 1938

Washington, District of Columbia, US

5001-10000 employees

http://www.fanniemae.com

H1B Sponsorship

Fannie Mae has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Represents job field similar to this job

Trends of Total Sponsorships

2020 (1)