Senior Quantitative Analyst

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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 contribute to supporting the Retained Portfolio team in using financial models, statistical techniques (in languages such as R, Python, or SQL), and financial industry knowledge to understand, model and generate insights for retained portfolio transactions (RPL/NPL whole loan sales, Reverse loan swaps and sales), Early Funding liquidity needs, Conduit transactions and Credit Enhancement activities. You will spend time understanding current processes, running models, understanding modeling frameworks, generating new frameworks, occasionally developing new models, improving governance, improving technology (e.g. cloud migration) and interfacing with business partners.

THE IMPACT YOU WILL MAKE

Responsibilities

The Single Family - Financial Engineering - Senior Associate role will offer you the opportunity to work in a fast paced business focused environment, deepening your knowledge of financial markets, working alongside smart people and various business partners to deliver on the following responsibilities

• Develop analytics to support sale of Fannie Mae assets, assess liquidity needs, and the economics of transactions (e.g. hedging)
• Interpret results of highly complex existing models, evaluate modeling trade-offs, and provide insights to non-model users
• Develop new models to address business needs
• Interact with business partners to understand their business and business needs, to communicate results, and respond to questions
• Support the migration off SAS to R and Python and the transition to cloud computing
• Support governance and compliance improvement efforts.
  

The job will involve general knowledge of many business areas as well as deep specialization in a few relevant topics. It will require initiative and the ability to solve problems practically and reasonably quickly.

Qualifications

THE EXPERIENCE YOU BRING TO THE TEAM

Minimum Required Skills/Experiences

• 2 years of related experience
• Strong knowledge of R including tidyverse for data manipulation. Alternatively, strong knowledge of Python including pandas and/or time series analysis
• Ability to write basic SQL including writing ad-hoc queries, to join and filtering.
• Good understanding of financial markets; understands the difference between bonds, equities, and other financial instruments; strong understanding of bond mathematics
• Experience with model methodologies such as: linear regression, logistic regression, or tree based methods
• Ability to communicate complicated technical information to technical and non-technical audiences
  

Desired Skills/Experiences

• Bachelor degree or equivalent in finance, statistics, economics, math or a related field
• Building analytical or data pipelines using R and Python
• Prefer candidates who are familiar with debugging SQL, writing efficient and automated queries.
• Ability to design a robust process to consume data form various systems, run models, analyze output, and generate deliverable
• Ability to gather business insight from statistical models, use different modeling methodologies (e.g. linear regression, logistic regression, tree based methods), understand corresponding modeling statistics and evaluate alternative models
• Strong knowledge of how to value or model MBS or whole loans
• Experience working in an AWS environment using tools including S3, EC2, EBS, or EMR and how to build scalable processes in a cloud environment
• Experience with Fannie Mae's business practices
• Basic Tableau skills: connecting to data, building data visualizations, publishing reports to a Tableau server
• Experience giving presentations
  

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: REF6400V