Quantitative Model Validator Advisor (Flexible Hybrid)
Washington, DC
Why you should apply for a job to Fannie Mae:
79% say women are treated fairly and equally to men
71% would recommend this company to other women
85% say the CEO supports gender diversity
Our diverse workforce includes 44% women — with 39% at the officer level
Seramount (formerly “Working Mother”) 100 Best Companies 2023
Flexible work environment and paid leave for life’s unpredictable moments
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Position summary
dation or testing strategies and assessment of quality and risk of model methodologies, outputs, and processes and applying understanding of relevant business context to interpret model results, monitor performance, and assess risks.
- Communicate technical subject matter clearly and concisely to team leadership and project stakeholders.
Qualifications
THE EXPERIENCE YOU BRING TO THE TEAM
Minimum Required Experiences
- 6 years of experience
- Bachelor's degree or equivalent
Desired Experiences
- An advanced degree (PhD. or Masters) in a quantitative field such as Statistics, Economics (with an Econometrics emphasis), Applied Finance, Engineering, or Computer Science.
- Experience with a large financial institution which has Enterprise Risk Management functions that meet the needs of highly regulated financial institutions.
- Experience in developing models or validating models.
- Experience with Large Language Models and Generative AI.
- Familiarity with the broader technology landscape, including emerging trends in AI and Data Science.
Skills:
- Understanding the business context which may create a need for models or other analytical product solutions.
- Fast-learning, building on a strong foundation of knowledge to continuously learn new techniques for building and managing model risks well.
- Ability to communicate technical subject matters clearly and concisely, both verbally and through well-written communications including Validation Reports.
Tools:
- Advanced skills in using computer languages often used in model development such as Python and R.
- Advanced skills in machine learning libraries such as TensorFlow, PyTorch, or Scikit-Learn.
- Nice to have: skills in Hugging Face Transformers and related technology ecosystem.
- Advanced skills in using computer languages that facilitate producing technical documents about models, those with equation editors and convenient ways of producing charts and tables which describe models and summarize model diagnostics.
Why you should apply for a job to Fannie Mae:
79% say women are treated fairly and equally to men
71% would recommend this company to other women
85% say the CEO supports gender diversity
Our diverse workforce includes 44% women — with 39% at the officer level
Seramount (formerly “Working Mother”) 100 Best Companies 2023
Flexible work environment and paid leave for life’s unpredictable moments