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Advisor for Fair Lending Analytics and Modeling
4 weeks ago
As an Advisor in the Fair Lending Analytics and Modeling team, you will play a critical role in shaping the strategic direction of the organization through data-driven insights and recommendations. As a valued colleague on our team, you will contribute to the overall direction of quantitative analytical activities and coordinate with business unit activities.
We have one opening for this job and it can be worked on a Hybrid basis from one of our offices.
THE IMPACT YOU WILL MAKE
The Advisor for Fair Lending Analytics and Modeling 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:
- Serve as a trusted advisor 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.
- Provide 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 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 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
Minimum Required Experiences
- 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.
Additional Information
REF13254C
The future is what you make it to be. Discover compelling opportunities at careers.fanniemae.com.
Fannie Mae is primarily a hybrid company. We embrace flexibility for our employees while providing office space for in-person work and collaboration. This role is classified as Hybrid. If you speak with a Recruiter, they will provide you with more information about the definition of this classification.
Fannie Mae is an Equal Opportunity Employer, which means we are committed to fostering a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, religion, national origin, gender, gender identity, sexual orientation, personal appearance, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation in the application process, email us at careers_mailbox@fanniemae.com.
The hiring range for this role is set forth on each of our job postings located on Fannie Mae's Career Site. 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.
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