Vacancy caducado!
Job Description
As 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 MAKEThe Lead Quantitative Modelerrole 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:- Lead 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.
Qualifications
THE EXPERIENCE YOU BRING TO THE TEAMRequired Skills:- Advanced degree in economics, statistics, data science or related fields
- Hands-on experience in econometric models or statistical models
- Hands-on experience working with large complex data
- Proficiency in Python and/or similar programming languages
- 4 years of similar experience
- Knowledge in machine learning
- Knowledge and experience in AWS
- Knowledge and experience in MBS market
- Experience applying time series modeling to economic applications
- Knowledge of Monte Carlo methods and other numerical methods
- Experience gathering accurate information to explain concepts and answer critical questions
- Experience evaluating businesses, projects, budgets, and other financial entities or instruments to determine viability, stability, and performance
- Skilled in presenting information and/or ideas to an audience in a way that is engaging and easy to understand
- Expertise in using statistical methods, including: developing and testing hypotheses, using experimental design, and running linear and logistic regressions
- The group of skills related to Programming including coding, debugging, and using relevant programming languages
- Experience in the process of analyzing data to identify trends or relationships to inform conclusions about the data
- Skilled in SAS
- Skilled in Excel
- Skilled in Python object-oriented programming
- Experience using R
Additional Information
The 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 [emailprotected]REF8896CVacancy caducado!