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FINANCIAL ENGINEER II (LOSS ALLOWANCE AND LOSS FOR
(Ref: 25123)
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Company:
Location:
Company Industries: |
Fannie Mae
US-DC-Washington
Financial Services |
Job Status:
Min Experience Level:
Compensation: |
Full-Time
3-5 Years Experience
Not Specified |
| Posted: |
Tuesday, November 10, 2009 |
Job Description:
FANNIE MAE
THE COMPANY
Fannie Mae exists to expand affordable housing and bring global capital to local communities in order to serve the U.S. housing market. Today, our focus is on preventing foreclosures, making mortgages and rental housing as affordable as possible, and supporting the housing recovery. We are rapidly building and realigning our company to better serve the market as we support the Administration's Homeowner Affordability and Stability Plan.
Join our dedicated, diverse, high-performing workforce and put your unique talents to good use as we work with our partners to advance our nation's housing recovery.
For more information about Fannie Mae and our career opportunities, please visit www.fanniemae.com
JOB INFORMATION
Reporting to the Director of Risk Analytics in the Loss Forecasting and Allowance group, this individual will be responsible for supporting the analytics and production of Fannie Mae's SF Loss Allowance by using and developing advanced mathematical, analytical, and econometric tools. The loss allowance estimation process is a cross functional effort that involve multiple areas, including Controllers, various SF business divisions, and the CRO organization. The Financial Engineer within this role will be particularly responsible for explaining results, researching model improvements, and analyzing data. Other duties include maintaining documentation and communicating results to external and internal stakeholders. Team members are required to proactively offer their own ideas for improvements to the system, the models, processes, and business applications.
- Use analytical tools and models to perform appropriate analysis for the Allowance
- Confer with internal business, risk, and finance partners and peers to determine reasonableness and improve analytical capability
- Develop new functionalities and implement new models
- Identify and locate areas of improvement in the allowance model
- Leverage high-level analytical techniques and applications to produce data-driven analysis
- Devise creative approaches to solve complex data management problems
- Perform month-end analyses to summarize, reconcile, and report financial credit-related data
- Participate proactively in the design phase of new model development
- Share technical expertise with less experienced staff
- Support monthly/quarterly production processes in a meticulous fashion within established controls and tight deadlines.
- Perform ad hoc analyses as needed especially to support audit and management questions.
Qualifications
- Masters degree in economics, statistics, mathematics, financial engineering, or computer science (or programs that require in depth quantitative analysis) preferred, or equivalent work experience.
- At least 2 years experience in highly technical and quantitative field, and a minimum of 4 years related work experience
- Expert in Base SAS and SAS macro language
- Proficient in UNIX and UNIX scripting
- Proficient in SQL and VBA
- Familiarity with software development life cycle
- Related experience using quantitative analysis on relevant financial assets
- Proven ability to effectively evaluate complex data, identify trends, draw conclusions, and summarize to management.
- Strong written and oral communication skills
- Must have the ability to work both independently and as a team member
- Ability to work in a fast-paced environment and manage well through ambiguity and complexity
- Maintain focus on critical projects/objectives
- Work effectively under pressure to meet deadlines
- Must be able to multi-task, and have strong attention to detail
- Experience in the secondary mortgage market and/or financial institution a plus
- Flexibility to work additional hours on an as needed basis to meet deadlines
EDUCATION
- Bachelor Degree or Equivalent
MINIMUM EXPERIENCE
- 4 years of related experience
SPECIALIZED KNOWLEDGE & SKILLS
- Masters degree in economics, statistics, mathematics, financial engineering, or computer science (or programs that require in depth quantitative analysis) preferred, or equivalent work experience.
- Expert in Base SAS and SAS macro language
- At least 2 years experience in highly technical and quantitative field
EMPLOYMENT
As a condition of employment with Fannie Mae, any successful job applicant will be required to pass a pre-employment drug screen and to successfully complete a background investigation, which may also include a credit check for positions in some areas of our business.
Fannie Mae is an Equal Opportunity Employer.
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