As a valued contributor to our team, you will apply extensive knowledge of principles, advanced techniques, and theories to conduct theoretical and empirical research with public and proprietary data in all areas of multifamily mortgage finance business, including commercial property valuation, macroeconomic models including property value, NOI and interest rate, mortgage products and securities, borrower behavior, investment and hedging strategies, financial valuation of finance assets and derivatives, economic capital, and stress testing.
THE IMPACT YOU WILL MAKE
- The Enterprise Analytics and Modeling – Quantitative Modeling – Lead Associate 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:
- 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 TEAM
Minimum Required Experiences
- 4 years experience with developing quantitative models and applying quantitative methods to solve business problems required
- Programming using Python or R
Desired Experiences
- Bachelor degree or equivalent Economics, Math, Statistics, Data Science or a related field
- Experiences with property valuation models such as repeated transaction index or AVM utilizing advanced statistical or machine learning techniques preferred
- Subject matter knowledge of multifamily or commercial real estate business line in a financial firm preferred
