Senior Manager, Operations Data Analytics

At OppFi, we are committed to fostering a fair and equitable workplace. The compensation range for this role reflects our good faith compensation estimate for this position. Final offers are determined based on a myriad of factors including, but not limited to experience, skills, qualifications, and other relevant business considerations. Candidates are encouraged to discuss compensation expectations during the hiring process. In addition to base pay, the total compensation package includes eligibility and potential for performance-based bonuses and equity grants dependent upon the role and job level.

OppFi offers a flexible, remote environment, 401(k) matching program, and generous paid time off. Other benefits include medical, dental, and vision coverage, and tuition reimbursement. Additional benefits include DoorDash DashPass, Figo pet insurance, Rocket Lawyer, and access to LinkedIn Learning. OppFi also offers Fringe, a lifestyle benefits platform that allows employees to decide how to spend rewards from dozens of vendors like Uber, DoorDash, and UrbanSitter. #LI-Remote

$123,200

—

$184,800 USD

As the Senior Manager, Operations Data Analytics, you will lead the development of best in class analytics solutions across OppFi’s Operations teams. You’ll lead a team of analysts to deliver data and insights to build operations strategy, inform decision-making, and monitor execution. You will partner across the enterprise to integrate operations strategy with Marketing, Product, Tech, Finance, & Compliance teams; working closely with other analytics leaders to drive operational excellence across the organization.

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

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