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Financial Engineer III

DC, WA Fannie Mae

THE COMPANY

Are you interested in helping solve today’s most critical housing challenges? In simplest terms, Fannie Mae serves the people who house America. We work at the heart of housing by providing reliable, affordable mortgage financing in all markets at all times, buying loans that banks and other lenders originate, so they can fund new loans. This gives more people the opportunity to buy, refinance, or rent homes and apartments. Creating these opportunities is what drives the people who work at Fannie Mae.

For more information about Fannie Mae, visit
http://www.fanniemae.com/progress.

JOB INFORMATION

Single Family Analytics is looking for an experienced associate to work on a new regulatory reporting application. The work would require knowing all aspects of the data behind Single Family business and supporting FHFA regulatory reporting needs. The associate will play a leading role in the development of the next generation regulatory reporting and will work closely with business users to develop prototypes and technical solutions.  The associate will work with the analytics and development teams to deliver solutions that meet and exceed the business needs.  Use advanced mathematical, analytical, or econometric tools to create algorithms that will be used in analytical or product development processes. Using these tools, develop or refine computer applications that provide deeper analysis of prospective asset performance, asset pricing, new asset classes, or information needed to measure or hedge risk. Provide ongoing analysis of new products or asset classes, and suggest program modifications as necessary. May test applications for accuracy and functionality before putting them into service.

KEY JOB FUNCTIONS


  • Collaborate with team members to formulate innovative solutions for regulatory reporting applications.
  • Work in a dynamic environment with emphasis on continuous learning and focus on innovative ideas and teamwork.
  • Analyze large data sets using data mining methods to search for patterns in data to discover data improvement opportunities.
  • Communicate results/recommendations to business users in a clear, actionable, and engaging way.
  • Investigate, propose, and implement new technologies to enhance our analytics capabilities.
  • Confer with product managers, marketing staff, capital market staff, or business unit management to determine analytical or product-related needs regarding product, investment instrument, market activity, or complex transaction to be analyzed.
  • Use one or more analytical tools from a suite of mathematical/application tools to perform appropriate analysis on specified product, transaction, market activity, or investment vehicle that has multiple variables affecting potential outcomes.
  • Report in quantitative manner on parameters of proposed purchase, sale, marketing action, structure of transaction or market activity, or risk factors and the degree to which they could affect outcomes.
  • Participate with product management, treasury, or capital markets staff in exercises to value derivatives or other complex products, or to revise models used to perform these valuations.
  • Perform ad hoc analyses as needed and assist managers of specific product lines with analytical, valuation, or pricing projects. Collaborate with teams planning or structuring transactions to assist in credit analysis and pricing.
  • Perform loss forecast analysis and reporting; perform ongoing ad hoc model development and analysis for specific clients needing high level quantitative analysis of credit risk, product valuation, asset analysis, and the like.
  • Redefine and implement the components of new risk indicators. Consult with the business owners, design and implement an interface to record key indicators, research industry best practices of analyzing and reporting key performance indicators.
  • Design test cases and test applications for systems used for a variety of analytical, pricing, risk management or credit pricing to ensure the business needs are met and analytics are correctly implemented.

EDUCATION 


  • Bachelor’s Degree or equivalent required 

MINIMUM EXPERIENCE 


  • 4+ years of related experience 

SPECIALIZED KNOWLEDGE & SKILLS


  • Bachelor’s degree in Computer Science, Engineering, Physics, Statistics or related field of study is required; Master’s degree is preferred
  • 6+ years of related work experience is preferred
  • Technical

    • Understanding of RDBMS and ETL. Experience with Database design and Database application development.
    • Experience working with AWS, Spark SQL, Spark ML, Oracle, Netezza, Sybase and SAS.
    • UNIX shell scripting experience.
    • Experience with Fannie Mae SF business processes and associated data
    • Excitement to analyze large data sets and work on large data problems.
    • Programming ability in SQL and at least one of C/C++, Java, R, and Python.
    • Experience with SDLC. Requirements/solutions specification documentation
    • Ability to communicate abstract concepts and data analysis results with business users.

  • Non-Technical

    • Creative and self-motivated, excellent analytic and problem-solving skills.
    • Ability to develop proficiency in new skills rapidly.
    • Strong technical writing and communication skills.
    • Excellent interpersonal skills and team player mentality.

 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. 

 

Fannie Mae is an Equal Opportunity Employer.

 

To apply for this job please visit the following URL: http://itjobpro.com/144410 →