Fannie Mae
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The Director of Data Science & AI will lead a team in developing and deploying advanced analytics and AI techniques. Responsibilities include innovation in AI solutions, collaboration with various teams, and effective communication of complex ideas to leadership, ensuring the impactful application of data science in the mortgage industry.
You will design and develop complex application testing frameworks and automated tools. Responsibilities include performing manual regression testing, documenting test results, mentoring junior staff, and coordinating with engineering teams to improve test methodologies. The position requires troubleshooting and testing across mobile, desktop, and web platforms.
The Diversity and Inclusion Insights and Reporting Advisor will analyze diverse data sources to create and present reports adhering to business and regulatory standards. Responsibilities include evaluating report accuracy, managing data requests, and preparing communication materials for executives and board discussions.
As a Sr. Data Encryption Engineer, you will develop data infrastructure and pipelines, ensuring data accessibility and quality. You will analyze customer needs, support database planning, and monitor data performance and security. You'll integrate data formats and provide user interfaces for further analysis.
As a Sr. Data Engineer, you will develop data infrastructure and pipelines, ensuring data is organized, centralized, and readily accessible. You'll support database planning, analyze new data sources, maintain data structures, and deliver user interfaces for further analysis.
In this role, the Senior Manager will lead a team responsible for managing conference room technologies and ensuring high-quality experiences in communication and video streaming services. Key responsibilities include designing, implementing, and supporting next-generation conference room setups while leading engineering support and maintaining standards for call quality.
In this role, you will design and develop solutions for IT infrastructure environments, focusing on AWS Cloud products, code reviews, unit testing, and internal quality assurance. You will also mentor junior team members and manage documentation processes for data analysis and reporting.
Lead Associate role in Software Engineering at Fannie Mae, responsible for designing, testing, and implementing software, IT architecture, data stores, and cloud-based systems. Independently determine customer needs, create solutions, and coordinate tasks across the team. Requires Bachelor's in Computer Science/Engineering and 5 years of software engineering experience.
Lead Associate role in designing and developing advanced solutions for IT infrastructure environments, coaching team members, and managing project resources. Hybrid position in Reston, VA.
As a Principal in SF Operational Risk, you will assess and identify risks to Fannie Mae's operations, consult with management on risk impact, and recommend process improvements to mitigate these risks. This role involves collaboration with various business units to develop strategies addressing risk management across multiple environments.
As a Lead Associate in SF Operational Risk, you will guide and support your team in analyzing customer requests, developing and implementing business intelligence tools, and driving data analysis to inform business decisions. You will collaborate effectively to produce valuable insights and solutions, while also resolving technical issues within your team.
The Payroll Advisor will manage the full-cycle processing of U.S. bi-weekly payroll, ensuring accuracy in data compilation and entry, resolving discrepancies, maintaining compliance with tax regulations, and managing special projects while providing excellent customer service to employees.
The Senior Associate – Enterprise Risk Process Engineer will analyze business problems, recommend process improvements, support new initiatives, develop business models, and monitor process enhancements to improve performance within the Enterprise Risk Management framework.
The Senior Associate – Enterprise Risk Process Engineer is responsible for analyzing and improving processes within Enterprise Operational Risk, contributing to process documentation and guidelines, and developing training for the eGRC platform to enhance business performance.
The Sr. Marketing Data Analyst will develop and advance digital marketing strategies through data-driven analyses and visualizations. Responsibilities include writing SQL queries, conducting deep dive analyses, and delivering presentations on marketing performance to internal stakeholders.
The SF Operational Risk - Business Intelligence - Senior Associate will assess customer requests, design and maintain BI applications, analyze data for business decisions, and resolve technical problems while collaborating with team members.
Assist in analyzing business transactions and financial information to maintain records of assets, liabilities, and profits. Responsibilities include gathering financial data, analyzing information for accounting treatment, and supporting business decisions through accurate reporting.
As a Risk Lead in Capital Markets Trading, you will assess potential risks affecting Fannie Mae's financial integrity, guide teams in analysis and reporting, and collaborate with stakeholders to ensure adherence to policies and standards. Your role will involve monitoring processes, documenting guidelines, and managing relationships with regulators.
As a Risk Lead in Capital Markets Trading, you will assess potential risks, guide team analyses, monitor risk reduction processes, document guidelines, and collaborate with stakeholders for governance oversight. You will also communicate with regulators and auditors while influencing business strategies to mitigate risks in the enterprise.
The Diversity and Inclusion Insights and Reporting Advisor is responsible for analyzing data, designing and producing insightful reports on diversity and inclusion, and preparing executive-level presentations. This role involves collaborating on data requests, ensuring reporting accuracy, and maintaining relevant documentation for regulatory compliance.