Top Tech Jobs & Startup Jobs

The Technical Lead will guide the development of trading technology applications, ensuring reliability, building distributed systems, and collaborating with cross-functional teams to enhance operational efficiency and implement best practices.

Develop and execute quantitative analytic models for credit risk management, providing innovative solutions for business and risk decisions within Single Family Modeling.

Lead a software development team at Freddie Mac, focusing on multi-family systems, technical guidance, delivery management, and backend solutions using various technologies in an agile environment.

Develop and implement statistical models for house price index analysis, providing analytical support to Freddie Mac's Single-Family Division while enhancing existing models and ensuring performance validation through rigorous testing.

Develop production systems for machine learning and analytics, using Python and AWS. Responsibilities include implementing models, optimizing systems, and writing tests.

Lead change management and operational risk activities for Single-Family Acquisitions, including risk assessments, governance, reporting, lifecycle support for significant changes, procedures maintenance, standards evaluation, process improvement, and participation in operational risk projects.

The Production Senior Analyst supports financing for commercial multifamily properties through deal structuring, analysis, and collaboration with internal and external partners.

Lead the design and development of Generative AI applications, ensuring reliability and scalability, while collaborating with cross-functional teams and maintaining high-quality data for AI solutions.

As a Senior Data Architect at Freddie Mac, you will design and implement solutions for a cloud-native data ecosystem, focusing on data modeling, architecture, and collaboration with various stakeholders to ensure effective data utilization and governance.

The Quantitative Analytics Tech Lead will develop and implement statistical models for credit risk evaluation, support business decision-making, and coordinate model testing and validation.