Log In
Sign Up
Description:
- Deliver analytics solutions for underwriting, portfolio management, servicing and collections strategies, compliance, and accounting operations.
- Develop collaborative partnerships with fraud and credit policy leaders to identify and deliver advanced analytics projects.
- Develop accurate forecasting and planning tools that enable the business to predict future growth and set performance expectations.
- Lead the creation of metrics and dashboards to proactively quantify and monitor credit risk and servicing activities.
- Develop ML and other types of models for underwriting, transaction monitoring, and portfolio management.
- Lead the credit loss forecasting and CECL reserve processes.
- Support ad hoc analyses for servicing operations, compliance and accounting.
- Conduct deep-dive analysis to identify risk drivers and surface opportunities for both growth and risk mitigation.
- Develop institutional expertise with open banking (Plaid) data for underwriting analytics.
- Develop organizational competency around the processes for developing, implementing, and monitoring predictive models.
- Coach staff to achieve high level of performance and meaningful career growth.
- Evaluate new and alternative data sources to determine value-add to current fraud and credit risk processes.
- Drive the agenda for the evolution of the company’s risk data infrastructure.
Requirements:
- Bachelor’s degree in Engineering, Computer Science, Statistics, Economics, Finance, or similar fields.
- MBA or advanced quantitative or technical degree is preferred.
- 10+ years of experience in data science and advanced analytics, including developing credit models.
- 7+ years of experience in banking or consumer lending credit risk management.
- 5+ years of experience leading analytical teams.
- Experience with loan servicing operations and/or collections strategy is highly desirable.
- Experience with sub-prime consumer segment in financial services is highly desirable.
- Highly proficient with analytical tools such as SQL, R, SAS, Python, and ML tooling.
- Deep familiarity with business intelligence tools like Tableau, Power BI, Domo, etc.
- Advanced proficiency with Microsoft Excel and/or Google Sheets is required.
- Understanding of data warehousing concepts and ETL techniques.
- An innate curiosity about the way things work.
- Relentless persistence in solving problems.
- A “process thinker” with the ability to describe workflows using data.
- Genuinely enjoy managing and developing people.
Benefits:
- Company Equity in the form of Stock Options
- Quarterly performance-based bonuses
- Generous employer-paid health, vision and dental insurance coverage
- Flexible vacation policy
- Educational assistance
- Free gym membership
- Casual dress code
- Team building events and activities
- Remote work arrangements/ flexible work schedule
- Paid parental leave
- Self Financial requires all employees hired to successfully pass a background check.
