Lead Financial Engineer (Hybrid)

As a valued colleague on our team, you will provide expert advice and guidance to the team responsible for applying mathematical models, advanced tools or techniques (such as SAS, Python, and R), and financial industry knowledge to business or financial data, including model results.Your efforts will enable the team to analyze or report on business performance, solve business questions, or inform business decisions. Work may include developing models or prototypes to achieve these goals, but is not the core focus in the role.

THE IMPACT YOU WILL MAKE
The Lead Financial Engineer 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:

• Develop approach to processing or analyzing large amounts of data efficiently using advanced financial engineering tools and techniques. Determine customer's intended uses for a financial analysis or model.
• Lead financial analysis or forecasting, which may include scenario or sensitivity analysis, stress testing, or attribution analysis.
• Execute models and/or interpret model results. Translate the results from the analysis or models for the customer into understandable conclusions.
• Work directly with model builders to vet new models, suggest changes to existing models, or analyze model performance data.
• Perform advanced data and systems analysis, validation, and regression testing.
• Analyze corporate strategic plans, and assess capital and PL implications.
• Develop and implement metrics and methodologies for capital adequacy, allocation, and optimization strategies.

THE EXPERIENCE YOU BRING TO THE TEAM

Minimum Required Experiences:

• 4 years

Desired Experiences:

• Bachelor degree or equivalent

Skills

• 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
• Working with people with different functional expertise respectfully and cooperatively to work toward a common goal
• Experience gathering accurate information to explain concepts and answer critical questions
• 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
• Experience in the process of analyzing data to identify trends or relationships to inform conclusions about the data
• Business Insight including advising, designing business models, interpreting customer and market insights, forecasting, benchmarking, etc.

Tools

• Skilled in Python object-oriented programming
• Skilled in R Language Programming
• Skilled in SQL
• Skilled in Excel
• Skilled in Tableau
• Skilled in SAS

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

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 [email protected].
 

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.