Key skills
Data SciencePeople ManagementFinancial Services ExperienceStatistical AnalysisCausal Inference MeasurementPythonRSQLTableauExperiment DesignOrganizational SkillsCross-Functional CollaborationAIAnalyticsLeadershipDecision Making
About this role
OppFi is a leading tech-enabled digital finance platform that works with banks to provide financial products and services for everyday Americans. As the Senior Manager of Operations Data Analytics, you will lead a team of analysts to develop best-in-class analytics solutions, driving operational excellence and informing strategic decision-making across the organization.
Responsibilities:
- Drive analytics projects end-to-end. Work with operations channel experts and cross-functional teams to inform, influence, support, and execute the operations strategy
- Lead the development of models to support coordination and optimization across operations functions, customer engagement channels, and customer segments, including:
- Originations
- Fraud
- Servicing
- Complaints
- Collections & Recoveries
- Phone, Chat, and Email Engagement
- AI Solutions
- Develop tools and training that enables the Operations Strategy team to adopt an analytical mindset for their daily business decisions
- Provide leadership in identifying opportunities to leverage advanced analytics or AI to drive incremental operations performance and business value
- Lead standardization of metrics across operations to drive decision making by operations leaders and teams
- Lead the design and monitoring of tests to support an aggressive learning and optimization agenda across pre-delinquency, collections, and recoveries initiatives
Requirements:
- 7+ years of experience in data science or analytics; Experience working with financial services operations teams is a strong plus
- 3+ years people management experience
- BS or MS in Statistics, Mathematics, Data Science, or equivalent quantitative field
- Experience developing custom models based on an understanding of the underlying data and business problems to ensure analytics deliverables meet stakeholders' needs
- Experience with causal inference measurement (a/b and multivariate testing) and time series analysis methodologies
- Strong organizational skills with a demonstrated ability to manage multiple priorities and lead complex projects with a high degree of ambiguity
- Experience working with cross-functional teams
- Experience designing rapid experiments and iterating quickly
- Knowledge of modern analytical tools and languages like Python, R, and SQL and building concise visualization of information, including use of Tableau