Capital Markets Pricing and Valuation

• Lead Associate Fannie Mae
• 4.0 Washington, DC Job Details Full-time $123,000
• $161,000 a year 15 hours ago Qualifications Financial model construction Research Dynamic financial modeling Bachelor's degree Financial concepts Financial markets knowledge Full Job Description Playing an essential role in the U.

S. economy, Fannie Mae is foundational to housing finance. Here, your expertise can help fuel purpose-driven innovation that expands access to homeownership and affordable rental housing across the country. Join Fannie Mae to grow your career and help people find a place to call home. Job Description As a valued colleague on the Capital Markets Pricing and Valuation team, you will assist with supporting the team valuing Fannie Mae's Asset and Liability portfolios using financial industry knowledge, applying mathematical/fixed income models to business or financial data, and advanced tools or techniques (such as SQL, Python, and R). Your efforts will enable the team to provide market valuations to internal customers, implement business initiatives, 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 Capital Markets Pricing and Valuation

• Lead Associate role will offer you the opportunity to make an impact, while working alongside people who care so that you can deliver on the following responsibilities: Create, design, and enhance cash flow models, pricing methodologies and valuation techniques to support Fannie Mae's fixed-income portfolios and new business initiatives Discuss markets and fixed income concepts and trends with internal and external market participants, including Trade Desk, Risk Groups, and Third-party participants Execute daily fair-value pricing for the Company's loans, securities, debt, and derivative portfolio for use by the Trade Desks, Risk Management, and Financial Reporting Research market activity and risk factors that could affect the pricing of the portfolios Use fixed income analytics to develop and implement new pricing methodologies and strategies to ensure pricing is consistent with current market environment and reduce operational risk Lead periodic market analysis involving the firm's portfolio for various groups within the company Manage internal team projects and bring value to our external customers Provide market and analytical guidance and training to less experienced staff in unit Analyze large amounts of data efficiently using advanced financial engineering tools and techniques.

Determine customer's intended uses for a financial analysis or model. Conduct 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.

THE EXPERIENCE YOU BRING TO THE TEAM

Minimum Required Experience 4+ years of fixed income market experience from a trading, portfolio management, securities valuation, or research background Bachelor's Degree in Economics, Finance, or STEM related area Shows curiosity and adaptability in learning and responsibly applying new technologies, including artificial intelligence, to reimagine how we work. Desired Experience MBA or Masters in Economics, Finance, or STEM related area CFA, FRM, or CTP designation desirable Strong knowledge of MBS, CMOs, REMICS, derivative and rate markets Deep understanding of fixed income analytics (DCFs, OAS, Duration/Convexity, spreads/discount margins, etc.), and valuations Must be able to explain complex financial concepts with internal and external participants Strong analytical skills; attention to detail Excellent written and oral communication skills Proficient with Bloomberg, Intex or other valuation tools a plus Advanced Excel and modeling skills required Experience with SQL, Visual Basic , R or Python a plus

Note:

Some weekend and holiday work may be required to meet production deadlines Pricing

• Financial Engineering

• Lead Associate Target Pay Range:

  $123,000
• $161,000 a year #LI-Hybrid #

LI-ME Qualifications Education:

Bachelor's Level Degree (Required) The future is what you make it to be. Discover compelling opportunities at Fanniemae.com/careers. For most roles, employees are expected to work onsite on a regular basis at their designated office location. In-office work cadence is determined by your manager. Proximity within a reasonable commute to your designated office location is preferred unless the job is noted as open to remote. Fannie Mae is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, religion, sex, national origin, disability, age, sexual orientation, gender identity/gender expression, marital or parental status, or any other protected factor. Fannie Mae is committed to providing reasonable accommodations to qualified individuals with disabilities who are employees or applicants for employment, unless to do so would cause undue hardship to the company. If you need assistance using our online system and/or you need a reasonable accommodation related to the hiring/application process, please complete this form . The hiring range for this role is set forth below. 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 .

Requisition compensation:

123000 to 161000