Job Description
Job Responsibilities
- Research and identify problems, anticipate effects across business communities, research best practice alternatives, prepare presentations, drive solutions, test to confirm, gain consensus from a broad business community, and implement customized solutions.
- Conduct complex statistical analyses and complete studies of real estate and mortgage related data.
- Apply econometric modeling, machine learning and data mining techniques to discover patterns from complex real estate data.
- Make forecasts and predictions based on modeling and analysis of multiple economic and human factors.
- Prepare and maintain programs and documentation for asset and asset risk models.
- Performs modeling and analysis using various data mining, machine learning, statistical, and mathematical techniques.
- Drive the monitoring and re-engineering of current models and their prototypes as needed, to improve and enhance core models and group research objectives
- Conceive, lead and manage quantitative and qualitative research projects independently.
- Assess and communicate research results to internal and external stakeholders.
- Understand business requirements and conceptualize analytic solutions to those business problems
- Troubleshoot, guide others, and drive solutions to a wide variety of highly complex problems.
Job Qualifications
- Ph.D. or Master of Arts Degree in Data Science, Math, Computer Science, Engineering, Economics or Finance preferred.
- At least 2 years of industry or academic experience in econometric modeling, machine learning techniques, data mining, or statistical modeling for clients on real-world problems
- Proficiency in the housing market is a plus
- Experience building models in a cloud environment is a plus
- Proficiency in at least one of the following programming languages: Python, Java, R, C++, Scala
- Proficiency with Git for version control and collaborative development workflows
- Experience with Linux-based terminals, including shell scripting and command-line operations
- Hands-on experience with Cloud-based platforms - GCP preferred
- Big data expertise and experience with technologies such as Spark, Hadoop, Hive, etc are a plus.
- Team player, willing to assist and jump into a project at any point as needed
- Detail-oriented; strong presentation skills, experienced with client interaction.
- Ability to communicate effectively and in a professional manner to key customers and explain business needs to technical personnel.
- Solid interpersonal skills. Must be able to communicate clearly to partners, prospects, clients and colleagues verbally and in written form.
- Able to manage multiple, complex projects simultaneously.
- Expertise in formulating business problems and designing analytic approaches.
- Able to effectively present analytic insights and modeling techniques internally and externally