Search the 44 jobs at Fannie Mae

The Operations Product Management- Lead Associate will be responsible for analyzing, building, and enhancing product functionality, ensuring alignment with business objectives, and leading a team in product lifecycle and maintenance. The role requires 4 years of experience and expertise in mortgage servicing and product development lifecycle.

The Lead Data Engineer role will involve developing data infrastructures and pipelines, organizing and integrating data, and analyzing new data sources. The ideal candidate should have experience with Big Data technologies like Hadoop, Spark, and AWS EMR, as well as strong skills in Python and SQL.

Contribute to supporting the product lifecycle, assess product needs, collaborate with the team on product strategy, and support internal groups in an energizing environment. Requires 2+ years of related experience in Workday Finance product support.

Assist team with monitoring and identifying risks to the portfolio through data analysis, coordinating risk activities, reporting on risks, developing solutions, and supporting risk mitigation strategies.

As a Lead Cloud Engineer, you will be responsible for designing and developing advanced solutions for IT infrastructure environments. You will also coach and mentor team members and monitor performance and capacity metrics. The role requires a strong background in coding, testing, and certifying technology platforms. Proficiency in Python, Shell Scripting, and knowledge of cloud technologies like AWS and Azure is preferred. Experience with Windows and Linux operating systems, infrastructure as code tools, and automation tools like Jenkins and Gitlab is required.

Lead the strategy and direction of Cloud Operations, drive excellence in the Cloud Operations space, manage enterprise Cloud operations, oversee production environments, implement processes to increase cloud service reliability, collaborate on enterprise solutions, investigate automation opportunities, ensure reliability and scalability of infrastructure, implement cloud-related changes, provide technical expertise and support, and advocate for diversity and inclusion.

Design and develop solutions for IT infrastructure environments, code and test technology platforms, establish policies and guidelines, monitor performance metrics, and address long term trends. Requires 8+ years of experience and proficiency in Azure, coding, communication, cloud technologies, and risk assessment.

Design and develop moderately complex software solutions using Java and SQL in a financial software engineering role at Fannie Mae. Collaborate with a team to implement new software technology and maintain existing software. Work with Workday Integration solutions and Studio Integrations.

As a Senior Financial Software Engineer, you will collaborate with the team in designing, producing, testing, or implementing moderately complex software and technology solutions. You will also help resolve integration issues requiring in-depth expertise in Workday and have the opportunity to work on Workday Financial Management Integration.

Lead a team to implement and administer core total rewards programs, partner with senior leadership on strategic roadmap, advise on compensation and benefits programs, and manage staff development.

Lead Associate role in Support and Tools Software Engineering at Fannie Mae, responsible for designing and developing complex software solutions, leading technical teams, and maintaining IT architecture. Hybrid work model. Requires Master's in Computer Science or Electrical/Electronic Engineering with 4 years of experience in software development using AWS platform and specific AWS services.

Lead Associate role in Enterprise Analytics and Modeling focusing on quantitative modeling in mortgage finance business. Responsibilities include leading projects, conducting quantitative analyses, developing analytic insights, and mentoring team members. Requires PhD in Economics or Statistics, experience in modeling using Stata and R, and advanced economic and statistical analysis skills.

Lead Associate role in Finance Technology - Software Engineering at Fannie Mae. Responsibilities include developing solutions on AWS platform, implementing new software technology, managing project plans, advising on business models, product development, and evaluating system performance. Master's in Computer Science or Electrical/Electronics Engineering required with 2 years of experience in AWS Cloud software development and various technologies.

Conduct theoretical and empirical research in mortgage finance business, develop model risk reporting applications, contribute to Agile development process, utilize mathematical and statistical techniques, mentor team members.

Lead Quantitative Engineer responsible for developing and implementing financial models, cash flow simulations, and risk metrics calculations. Lead teams in translating mathematical logic into software code, design modeling applications, and evaluate emerging technologies.

As a Senior Investor Relations Analyst at Fannie Mae, you will contribute to marketing and communications aimed at Fannie Mae's investor and researcher community. Responsibilities include promoting enterprise products, managing investor relationships, developing marketing strategies, and expanding relationships with rating agencies.

Responsible for developing optimized reporting timelines and requirements, implementing best practices for data gathering, and ensuring compliance with financial reporting standards. Communicate with external auditors and stay updated on industry best practices. Requires 4 years of experience in financial reporting at a publicly traded company and strong skills in Excel, Tableau, and Power BI.

Manage a team responsible for financial reporting, preparation of external financial statements, and ensuring compliance with company policies and procedures. Research and implement new accounting standards and advocate for process improvements.

Design, develop, and implement software solutions in an API Ecosystem, while leading matrixed teams and guiding on best practices. Coach on cloud migration and adoption journeys, publish technical white papers, and present to large audiences.

As a DevOps Engineering Advisor on the Enterprise DevOps and Tools Team, you will drive process improvements, automation initiatives, and lead technical projects. You will apply your expertise in DevOps engineering to accelerate adoption of best practices and support application teams in their development to operations lifecycle.