- Contribute to gathering business requirements to be implemented in the MPlus Forecasting Engine
- Participate in the data preparation, code development, and reporting to support baseline and ad hoc analytics
- Provide timely, relevant, robust analyses to support business decisions
- Contribute to automation of processes related to the implementation of various methods and models in the Forecasting Engine
- Collaborate with team members and interact across organizational lines to meet business objectives
- Follow appropriate controls and standards established to maintain and create documentation for processes & reports
- Analyze/explain results, review trending, and perform sensitivity analysis
Qualifications:
- Degree in quantitative finance, statistics, mathematics, economics, data analytics or a related quantitative field preferred, with 1-3 years of relevant work experience.
- Work experience and proficiency in programming and/or data mining languages such as SQL, Python, SAS or R
- Experience working with large data sets and relational databases
- Strong quantitative, analytical, and problem-solving skills
- Strong presentation skills
- Mortgage industry experience preferred but not required
Keys to Success in this Role:
- Intellectual agility and interpersonal flexibility
- Strong presentation skills both verbal and written
- Deep curiosity to learn about new trends
- Ability to apply data to help inform strategy and direction
- Write Python, SQL, or and SAS scripts
- Support end-user issues and resolve in a timely manner
- Ability to work across teams and with diverse organizations of modeling and risk professionals in an effective and efficient manner