Lead the development of compliance policies for consumer risk in single-family lending; manage compliance risks and oversee training and reporting obligations.

Lead end-to-end development for ServiceNow and AWS solutions, mentor junior developers, oversee product designs, ensure compliance, and drive AI tool adoption.

Lead the design and development of Salesforce solutions, mentor junior developers, and ensure alignment with enterprise architecture while optimizing existing implementations.

The Salesforce Lead Software Engineer will lead Salesforce initiatives, mentor developers, design complex applications, and ensure high-quality solutions that align with business goals. This role involves collaboration across teams and improving the overall Salesforce ecosystem while driving technical excellence.

Collaborate with teams to design and implement software solutions, develop reports, build process models, and integrate with external systems, while participating in Agile/Scrum processes.

The Internal Communications Lead Associate will develop and deliver internal communication strategies, advise executives, manage change, and foster collaboration across departments.

The Lead Associate will build and productize AI/ML solutions for business outcomes, collaborate with stakeholders, and enhance analytic capabilities in a financial environment.

The role involves leading operational risk management in Treasury and Capital Markets, executing strategies, and overseeing compliance with risk management across various divisions while fostering stakeholder relationships and enhancing risk solutions.

The Risk and Modeling Senior Analyst will design and implement analytical models, support risk research, and analyze acquisition portfolios, working with stakeholders to improve business performance.

Support attorneys with legal matters, prepare transactional documents, maintain records, analyze workflows for efficiencies, and coordinate with external stakeholders.

The role involves overseeing customer engagement, developing relationships, supporting operational activities, and collaborating with cross-functional teams to enhance customer experience and optimize operations.

Designs and implements data pipelines and analytics solutions for risk management and audit processes, ensuring compliance and scalability.

The Lead AWS Data Engineer designs and optimizes AWS data architectures and pipelines, analyzes datasets, collaborates with stakeholders, and provides technical leadership while focusing on performance tuning and automation.

As a Senior Manager of Marketing Operations at Fannie Mae, you will oversee marketing processes, optimize workflows, advise senior leaders, and manage project capacity while embedding AI into operations.

Lead product strategy and lifecycle for the Common Cashflow Application (CCFA) modeling platform. Own roadmap, prioritization, stakeholder alignment, agile delivery, governance, documentation, and regulatory engagement. Drive model and forecast transformation initiatives, quantify business value, and oversee delivery metrics and product artifacts.

Support product management for the Asset Mark-to-Market platform, enhancing product functionality and coordinating with teams to align solutions with business objectives.

Review product quality for accounting systems, ensuring functionality, data integrity, and user experience through testing and validation activities.

Lead the Enterprise Modeling team to develop and advance mortgage modeling assets, ensuring proper implementation, compliance, and risk management while managing a team of quantitative modelers.

Design, develop, test, and implement moderately complex software and cloud-based data systems. Create solution frameworks, maintain IT architecture and large-scale data stores, coordinate end-to-end tasks, and support maintenance of existing software. Collaborate cross-functionally to determine customer needs and apply process-driven development.

Design, build, and maintain enterprise data infrastructure and pipelines to capture, integrate, organize, and centralize data. Ensure data quality, accessibility, security, and scalability. Translate customer needs into database requirements, support database planning and engineering, analyze new data sources, monitor performance, and deliver initial UIs for customer analysis.