Job Responsibilities:
- Develop and maintain periodic analytics to provide management with full insight into emerging trends and the quality of the originated accounts
- Attain a detailed understanding of key performance metrics and profitability drivers, enabling the delivery of insights encompassing the full account lifecycle
- Acquire an understanding of the operational processes (e.g. manual underwriting, portfolio management, collections) which will aid in understanding acquisition performance drivers
- Conduct ad hoc analytics and contribute to various projects representing Risk Management
- Work both independently and collaboratively to complete analytical tasks; starting with problem identification, analysis of large & complex data and formulating concise conclusions with actionable recommendations
- Leverage champion/challenger capabilities to develop and maintain credit strategies
- Leverage latest tools and capabilities to identify loss trends and make changes to the credit strategy
Required Qualifications, Skills, and Capabilities:
- BS degree and minimum of 1 year Risk Management or other quantitative experience required.
- Background in statistics, econometric, or other quantitative field required
- Advanced understanding of SAS, Python and Machine Learning Techniques
- Ability to query large amounts of data and transform the raw data into actionable management information
- Familiarity with risk analytic techniques
- Strong analytical and problem-solving abilities
- Strong written and oral communication skills and executive presence
Preferred Qualifications, Skills, and Capabilities:
- SAS, SQL, Python experience preferred