Company DescriptionAt Fannie Mae, futures are made. The inspiring work we do makes an affordable home a reality and a difference in the lives of Americans. Every day offers compelling opportunities to modernize the nations housing finance system while being part of an inclusive team using new, emerging technologies. Here, you will help lead our industry forward, enhance your technical expertise, and make your career.We have multiple opportunities across our Enterprise Modeling & Analytic teams. Meet our teams and find your fit.SF Loan Performance Modeling - Apply statistical and/or econometric techniques to develop single-family forecast models. Conduct or assess ad-hoc quantitative analyses, modeling, or programming using SAS, R, or Python. Implement validation or testing strategies and assess the quality and risk of model methodologies, outputs, and processes. Monitor model performance and assess model assumptions and risks. Support production/customers in the areas of model forecast and analyticsInterest Rate Modeling - Support model governance in the area of interest rate models (term structure models, mortgage rate models, fixed income derivatives valuation, market risk measurement). Activities include model documentation, model performance tracking, model assessment, model issue tracking. Also, model testing and validation, sensitivity analysis, and ad hoc analysis. Opportunities to contribute also to model development will evolve over time.Job DescriptionAs a valued colleague on our team, you will act as team lead while conducting theoretical and empirical research with public and proprietary data in all areas of the mortgage finance business. This may include mortgage products and securities, borrower behavior, investment and hedging strategies, residential property valuation, macroeconomic models, including housing prices and interest rate, financial valuation of finance assets and derivatives, economic capital, and stress testing. Additionally, you will coach and mentor team members.THE IMPACT YOU WILL MAKEResponsibilitiesThe Lead Quantitative Modeler 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 responsibilitiesLead teams in providing innovative, thorough, and practical solutions that support business strategies and initiatives and in conducting or assessing ad hoc quantitative analyses, modeling, or programming using SAS, SQL, R, or Python.Coach and mentor team members in utilizing 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.Apply advanced skill, knowledge, and/or experience while leading teams to complete modeling projects aligned with established company policies and industry-wide modeling practices.Contribute to developing validation or testing strategies and assessing the 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 department leadership and teams.QualificationsTHE EXPERIENCE YOU BRING TO THE TEAMMinimum Required ExperiencesBachelor's degree or equivalent experience in a quantitative field, eg, mathematics, statistics, economics, computer science4 years of experience in quantitative modeling: VECM and/or logistic regression4 years of experience using Python for model research and development: Numpy, Pandas, statsmodelDemonstrated experience in model development and implementation for forecasting, working with both modelers and business usersDemonstrated experience and knowledge of mortgage valuationAbility to assess model implementation quality and production control risk with minimal supervisionAbility to evaluate data sources deeply and thoroughly to improve forecast modelsAbility to provide customer support in the areas of model forecast and analyticsAbility to design and build influential presentations and reports, oral and written, for diverse business audiencesDesired ExperiencesPhD degree or equivalent experince in a quantitative field, eg, mathematics, statistics, economics, computer science4 years of experience using Python for model research and development: scikit-learn, XGBoost, lightgbm4 years of experience using Python SQL libraries to connect and select recordsAbility to work in a team environment, establish and maintain relationships within and across division while communicating technical results to non-technical audiences Demonstrated experience using some of the programming languages commonly used in model and application developmentAbility to review technical requirements and provide prototype code and test results to assist application development team in implementing new/updated modelsDemonstrated experience in financial services/banking industry; mortgage industry preferredProficient in SAS/R and experience with Python. Knowledge of relational Databases/SQLDemonstrated academic training or empirical experience on econometrics or statistics, including data preparation and model estimationDemonstrated experience and knowledge of mortgage risk analytics and return attributionsIndependently conduct research on model development, implementation, and performance tracking and enhance models to meet specific analytical needsDemonstrated experience in examine mortgage data and model outputs and determine the efficacy of current analytical standards or modelsIndependently perform ad hoc analysis for clients needing quantitative analysis of credit risk, product valuation, and asset analysisExperience in AWS preferredToolsSkilled in SASSkilled in Python object-oriented programmingSkilled in R Language ProgrammingSkilled in ExcelAdditional InformationREFID: REF9513WThe future is what you make it to be. Discover compelling opportunities at careers.fanniemae.com.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.#JobAlert