Fair Lending Analytics and Modeling Advisor

2 weeks ago


Plano, Texas, United States Fannie Mae Full time
Job Description

As a key member of the Fair Lending Analytics and Modeling team at Fannie Mae, you will play a critical role in shaping the organization's strategic direction through data-driven insights and recommendations. Your expertise will contribute to the overall direction of quantitative analytical activities and coordination with business unit activities.

This role offers the flexibility to make each day your own, while working alongside a talented team to deliver on the following responsibilities:

Key Responsibilities
  • Provide trusted advice to senior leadership, offering insights and recommendations based on data analysis and predictive modeling.
  • Drive continuous improvement efforts to enhance analytical capabilities and expand the use of analytics across the organization.
  • Review traditional and artificial intelligence/machine learning models for algorithmic bias.
  • Perform fair lending statistical analysis to identify and measure fair lending risk.
  • Offer recommendations on modifications to statistical models that further fair lending objectives.
  • Identify business needs for analytical support, fair lending testing, and quantitative analysis.
  • Gather and report on enterprise-wide data necessary for assessments of fair lending, data availability, and data quality.
  • Evaluate policy changes and analytic techniques.
  • Pull and analyze data using applicable software and assess data quality.
  • Clearly communicate complex information to expert and/or lay audiences.
  • Test new products and changes to pricing models for fair lending implications.
  • Identify special monitoring that may be required based on routine data analysis.
  • Assist the team on fair lending risk assessments and fair lending compliance program reviews.
  • Apply best practices in research and fair lending testing to model, product, and policy development.
  • Partner with the team to design data visualizations, technical documentation, and non-technical presentation materials to communicate ideas and solutions to business partners, management, and regulators.
Qualifications

THE EXPERIENCE YOU BRING TO THE TEAM

  • 6 years of related data analytics and reporting experience.
  • Expertise in using statistical methods and machine learning algorithms, including developing and testing hypotheses, using experimental design, and running linear and logistic regression models, as well as other advanced algorithms.
  • Skilled in programming - including coding, debugging, and validating - using relevant software such as R, Python, and SQL.
  • Skilled in documentation and database reporting for the purposes of analysis, data discovery, and decision-making.
  • Experience in the process of analyzing data to identify trends or relationships to inform conclusions about the data.
  • Experience gathering accurate information to explain concepts and answer critical questions.
  • Collaborative team player.
  • Adept at managing project plans, resources, and people to ensure successful project completion.
  • Excellent interpersonal, written and verbal communication skills.
  • Strong attention to detail and ability to work in a fast-paced environment.
  • Experience collaborating cross-functionally with different business units.
  • Ability to streamline, validate and test analytical processes to ensure accuracy and consistency.

Desired Experiences

  • Master's degree or equivalent.
  • Experience in Fair Lending analytics and reporting.
  • Prior experience working for a financial institution or financial regulator.
  • Experience leading cross functional work with non-technical colleagues such lawyers, compliance professionals, and regulators.
  • Skilled in MS Office Suite of tools, including Excel, PowerPoint, and Word.
  • Proficient in leveraging AWS SageMaker to build, tune, and deploy Machine Learning solutions.
  • Skilled in using AWS Redshift data connections.


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