Senior Data Scientist - Fair Lending Oversight

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Job description

Company Description

At Fannie Mae, futures are made. The inspiring work we do makes an affordable home a reality and a difference in the lives of Americans. Every day offers compelling opportunities to modernize the nation's housing finance system while being part of an inclusive team using new, emerging technologies. Here, you will help lead our industry forward, enhance your technical expertise, and make your career.

Job Description

As a valued colleague on our team, you will work with your team to apply fundamental techniques to support production of insights, new product or change recommendations, process improvement or automation, and predictive modeling. You will apply basic knowledge of data mining and data analysis methods, have familiarity with common large data processing techniques, computational programing capabilities, and practical problem-solving skills, and articulate solutions to non-technical consumers or partners. Additionally, you will work with multiple teams across the enterprise partner with data engineering and data management teams to apply data mining techniques to external or created data sources in preparation for analysis or use of enterprise data assets.

THE IMPACT YOU WILL MAKE

Responsibilities

This 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

The Fair Lending - Data Science - Senior Associate role you will support Fannie Mae's compliance with fair lending laws, as well as the Company's race and equity initiatives.

• Gather and report on data necessary for fair lending assessments, data availability, and data quality.
• Provide recommendations regarding modifications to statistical modeling capabilities in an effort to support fair lending objectives.
• Apply industry practices in research and fair lending testing to model, product, and policy development.
• Design modeling applications that support fair lending risk identification and measurement.
• Partner with team to design data visualizations, technical documentation, and non-technical presentation materials to communicate ideas and solutions to business partners.
  

Qualifications

THE EXPERIENCE YOU BRING TO THE TEAM

Minimum Required Experiences

• 2 years of related work experience
• Experience with Data Analytics and/or Data Engineering
• Functional Skills
• Working with people with different functional expertise respectfully and cooperatively to work toward a common goal
• Experience with the financial services industry
• Excellent written and oral communication skill in delivering complex technical information to audience with various background
• Skilled in presenting information and/or ideas to an audience in a way that is engaging and easy to understand using graphical representation of information in the form of a charts, diagrams, pictures, and dashboards with programs and tools
• Technical Skills
• Experience in a model validation and/or model development
• Expertise in utilizing technology tools and open-source programming languages (Python, R etc.) to support business or risk management processes
• Experiences in developing applications to support efficient access to model risk data by leveraging and integrating multiple technology tools
• Experiences in developing tools to support Model Validation and Review Reports production
  

Desired Experiences

• 4 years of related work experience
• Master's or other advanced degree in economics, finance, statistics or a related quantitative field
• Strong knowledge on financial and/or mortgage lending industry
• Focused experience in artificial intelligence (AI), including machine learning and natural language processing (NLP)
• Exposure to Fair Lending Laws and Regulations
• Skilled in AWS Machine Learning tools such as SageMaker
• Skilled in applying econometric and statistical technics including time series, panel data, discrete event modeling to mortgage performance modeling, property and financial asset valuation modeling
  

Tools

Skilled in R Language Programming

Skilled in SGPLOT

Skilled in RStudio to develop programs in R

Skilled in Python object-oriented programming

Skilled in R Markdown

Skilled in Tableau

Skilled in SAS

Skilled in DBeaver SQL client software

Skilled in Plotly

Skilled in Excel

Skilled in TOAD SQL database management tool

Skilled in SQL

Experience using BitBucket

Skilled in Netezza SQL

Experience using GitHub

Experience using JIRA

Additional Information

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

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 .

Job Id: REF6136C