Enterprise Risk Data Science Senior Associate (Hybrid)

Job Description As a valued colleague on our team, you will use moderately complex techniques to produce insights, new product or change recommendations, process improvement or automation, and predictive modeling. You will use data mining and data analysis methods, be adept with common large data processing techniques, computational programing capabilities, practical problem-solving skills, and have an ability to articulate solutions to non-technical consumers or partners. As a senior associate, you will partner with data engineering and data management teams, and apply data mining techniques to external or created data sources in preparation for analysis or use of enterprise data assets. THE IMPACT YOU WILL MAKEThe Enterprise Risk Data Science Senior Associate (Hybrid)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:

Collaborate with product and/or business owners, data engineers, and platform teams to understand business needs and current capabilities, data availability, and alternative uses.

Implement new statistical modeling capabilities.

Apply predictive analytic capabilities to enhance the delivery of business applications, and support the integration of data and statistical models or algorithms. Apply industry practices in research and testing to product development, deployment, and maintenance .

Design new modeling applications to support risk measurement, financial valuation, decision making, and business performance.

Design data visualizations, technical documentation, and non-technical presentation materials to communicate complex ideas and solutions to business partners.

Qualifications THE EXPERIENCE YOU BRING TO THE TEAMMinimum Required Experiences

2 years

Desired Experiences

Bachelor degree or equivalent

Skills

Communication including communicating in writing or verbally, copywriting, planning and distributing communication, etc.

Experience evaluating businesses, projects, budgets, and other financial entities or instruments to determine viability, stability, and performance

Experience gathering accurate information to explain concepts and answer critical questions

Experience in the process of analyzing data to identify trends or relationships to inform conclusions about the data

Skilled in cloud technologies and cloud computing

Skilled in the graphical representation of information in the form of a charts, diagrams, pictures, and dashboards with programs and tools such as Excel, Tableau, or Power BI

Skilled in presenting information and/or ideas to an audience in a way that is engaging and easy to understand

Programming including coding, debugging, and using relevant programming languages

Tools

Skilled in SQL

Skilled in Tableau

Skilled in RStudio to develop programs in R

Skilled in R Language Programming

Skilled in DBeaver SQL client software

Skilled in Python object-oriented programming

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 careersmailbox@fanniemae.com.