Fannie Mae
Quantitative Model Validator Advisor Flexible Hybrid
Fannie Mae, Washington, District of Columbia, us, 20022
Job Description
THE IMPACT YOU WILL MAKE
The Quantitative Model Validator Advisor role will offer you the flexibility to make each day your own, while working alongside people who care so that you can deliver on the following responsibilities:
Recommend improved methods and techniques to provide innovative, thorough, and practical solutions that support business strategies and initiatives, as well as better ways of conducting or assessing ad hoc quantitative analyses, modeling, or programming using SAS, SQL, R, or Python.
Utilize advanced data mining and/or statistical techniques to develop analytic insights, sound hypotheses, and informed recommendations. Identify opportunities to apply quantitative methods to improve business performance.
Counsel teams on company policies and industry-wide modeling practices.
Inform the team's technical direction for validation 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: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.
Additional Information
The future is what you make it to be. Discover compelling opportunities at careers.fanniemae.com.
Fannie Mae is a flexible hybrid company. We embrace flexibility for our employees to work where they choose, while also providing office space for in-person work if desired. At times, business need may call for on-site collaboration, which means proximity within a reasonable commute to your designated office location is preferred unless job is noted as open to remote.
Fannie Mae is an Equal Opportunity Employer, which means we are committed to fostering a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, religion, national origin, gender, gender identity, sexual orientation, personal appearance, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation in the application process, email us at careers_mailbox@fanniemae.com.
The hiring range for this role is set forth on each of our job postings located on Fannie Mae's Career Site. Final salaries will generally vary within that range based on factors that include but are not limited to, skill set, depth of experience, certifications, and other relevant qualifications. This position is eligible to participate in a Fannie Mae incentive program (subject to the terms of the program). As part of our comprehensive benefits package, Fannie Mae offers a broad range of Health, Life, Voluntary Lifestyle, and other benefits and perks that enhance an employee’s physical, mental, emotional, and financial well-being. See more here.
THE IMPACT YOU WILL MAKE
The Quantitative Model Validator Advisor role will offer you the flexibility to make each day your own, while working alongside people who care so that you can deliver on the following responsibilities:
Recommend improved methods and techniques to provide innovative, thorough, and practical solutions that support business strategies and initiatives, as well as better ways of conducting or assessing ad hoc quantitative analyses, modeling, or programming using SAS, SQL, R, or Python.
Utilize advanced data mining and/or statistical techniques to develop analytic insights, sound hypotheses, and informed recommendations. Identify opportunities to apply quantitative methods to improve business performance.
Counsel teams on company policies and industry-wide modeling practices.
Inform the team's technical direction for validation 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: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.
Additional Information
The future is what you make it to be. Discover compelling opportunities at careers.fanniemae.com.
Fannie Mae is a flexible hybrid company. We embrace flexibility for our employees to work where they choose, while also providing office space for in-person work if desired. At times, business need may call for on-site collaboration, which means proximity within a reasonable commute to your designated office location is preferred unless job is noted as open to remote.
Fannie Mae is an Equal Opportunity Employer, which means we are committed to fostering a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, religion, national origin, gender, gender identity, sexual orientation, personal appearance, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation in the application process, email us at careers_mailbox@fanniemae.com.
The hiring range for this role is set forth on each of our job postings located on Fannie Mae's Career Site. Final salaries will generally vary within that range based on factors that include but are not limited to, skill set, depth of experience, certifications, and other relevant qualifications. This position is eligible to participate in a Fannie Mae incentive program (subject to the terms of the program). As part of our comprehensive benefits package, Fannie Mae offers a broad range of Health, Life, Voluntary Lifestyle, and other benefits and perks that enhance an employee’s physical, mental, emotional, and financial well-being. See more here.