Fannie Mae

Software Engineer - (ML/AI) - Washington DC

Software Developer in Washington, DC

Posted 2020-01-15

Implement models/algorithms/calculations by using Java.
Build internally facing web applications.
Work with analysts, economists and the business to design web solutions to challenging problems.
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.
Propose new risk indicators for senior staff/management approval and implementation. Assist with consulting with the business owners, designing and implementing an interface to record key indicators, research industry best practices of analyzing and reporting key performance indicators.
Design basic to moderately complex 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.
Bachelor's Degree or equivalent required
Degree in either Computer Science, Physics, Mathematics/Statistics, or Engineering, would be highly preferred
2+ years of related experience
Required Skills
2+ years of experience of full-stack development using Java and J2EE and the Spring Stack (Spring Boot and Spring Core)
Experience with web service applications on the server side using RESTful APIs, JSON/SOAP, XML, Apache, Tomcat, Maven, Eclipse/STS, GIT, etc.
Preferred Skills
Experience developing SPA's using Angular6, ReactJS, or other JavaScript based frameworks would be a plus
Experience using a variety of open source technologies and cloud services such as R, MATLAB, Python, Scala, etc.
Experience with the implementation and creation of various models and algorithms including regression models, AI or machine learning techniques
Familiarity with AWS data solutions such as S3 and Redshift
Familiarity with modeling and statistical concepts
Experience with Agile development methodology

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