Pioneering And Inventive Spirit Jobs in Washington DC

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Senior Director - Head of Acquisition Risk and Portfolio Management (Open to Remote)

Company: Fannie Mae

Location: Washington DC

Posted Jan 28, 2025

Fannie Mae is seeking a Senior Director for Head of Acquisition Risk and Portfolio Management. The role involves leading risk monitoring, forecasting, and reviews for the organization, coordinating risk mitigation activities, and providing risk mitigation assistance to other groups. The ideal candidate will have 8-12 years of experience in risk management for a financial institution, a strong understanding of Single Family mortgage business and risk, and proficiency in Excel, PowerPoint, Tableau, SQL, and Python. The role offers opportunities for career growth, impact on the housing industry, and a flexible work environment.

Frequently Asked Questions

What are typical salary ranges by seniority?
Junior Research Engineer: $80k–$100k; Mid‑level: $110k–$140k; Senior: $150k–$190k; Lead Engineer: $190k–$230k; Director of Innovation: $230k–$280k.
Which skills and certifications are required?
Proficiency in Python, TensorFlow, PyTorch, Git, LabVIEW, SolidWorks, MATLAB; certifications such as AWS Certified Machine Learning, Google Cloud ML Engineer, PMP, Six Sigma Green Belt.
Is remote work available for these roles?
Many positions offer hybrid or fully remote arrangements, especially research and strategy roles. Lab‑centric roles may require on‑site presence for equipment access, but remote collaboration tools enable distributed teams.
What career progression paths exist?
Typical trajectory: Research Engineer → Lead Engineer → R&D Manager → VP of Innovation → Chief Innovation Officer. Each step adds strategic oversight, IP ownership, and cross‑functional leadership responsibilities.
What industry trends influence Pioneering & Inventive Spirit jobs?
Key trends include AI ethics frameworks, quantum‑enabled drug discovery, sustainable materials engineering, open‑source hardware ecosystems, rapid 3D‑printing prototyping, and digital twin modeling for product life‑cycle optimization.

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