At Freddie Mac, the business problem is to provide monitoring, analytics, and reporting of credit risk for the newly purchased loan portfolio, and to identify emerging industry trends in a fast-paced and diverse work environment.
Requirements
- Strong experience with Tableau and Excel
- Work experience and proficiency in programming and/or data mining languages such as SQL, SAS, R, or Python
- Proficient understanding of credit and financial risks and the mortgage life cycle
- Experience with data analytical and visualization tools such as Tableau, MicroStrategy
- Programming skills in languages such as Python, SQL, SAS, or R
Responsibilities
- You will be instrumental in the smooth and timely production of critical monthly reporting deliverables through which CARDS communicates credit quality and performance of recent funding as well as emerging risks.
- You will own specific reports and tools that help identify, monitor and report emerging risks, credit trends, and loan performance drivers.
- You will enhance your data analytical, visualization, communication, and teamwork skills by researching real-world problems with tools such as Tableau, MicroStrategy, Excel, Python, SQL, SAS, and R.
- You will also work on ad hoc projects and analyses and cross-team with colleagues.
Other
- Degree or equivalent experience in a highly quantitative field such as Statistics, Economics, Finance, Business, Mathematics, Computer Science, or Engineering
- Minimum 2 years related professional experience (mortgage / GSE experience preferred)
- Strong presentation skills, both verbal and written
- Diligent self-starter with reliable follow-through and time management
- Resilient, flexible, adaptable, intellectually curious, and driven
