Everyone deserves access to financial peace of mind. Our team is on a mission to change the credit landscape through simple, inclusive, and transparent financial products. Our all-in-one app provides underserved consumers with an easy way to buy now, pay later, and build credit. Some things we’re excited about:
We are searching for a Manager of Strategic Analytics who will be responsible for ensuring that our organization has access to the insights necessary to grow the business and operate effectively. This person will collaborate heavily with our Data Science and Data Engineering teams, as well as cross-functionally with all departments within Perpay. We are looking for someone to deliver key insights to drive business optimization, while simultaneously overseeing a team of analysts and empowering them to extract insights of their own. This opportunity is both unique and pivotal, as it provides the chance to contribute to and lead a rapidly growing team. This position will report directly to the VP of Risk & Analytics.
What We Offer:
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
We don’t work with recruiters – please contact us or apply directly.
What’s unique about the Perpay brand?
Perpay’s mission is to provide consumers with an easy way to make purchases, pay over time and build credit. It is dedicated to building simple, transparent and inclusive financial products that improve the lives of its customers.
Perpay is working to solve broad issues of financial access and inclusion that affect a large number of people through the pathways of microlending, consumer finance and e-commerce. Its focus is purely on its customers.
What is the team dynamic within the office?
As a high-growth company, Perpay fosters collaboration whenever possible. It does so by keeping its organizational structure cross-disciplinary and outcome-oriented. Anyone can have a conversation or introduce an idea at any time — there are no silos.
Perpay also works to foster an entrepreneurial spirit at the individual level. First and foremost, it’s a product-focused company, and believes everyone on the team is a product contributor. Perpay is building tools that make an impact on so many people, and believes the best way to do that is to get input from every one of its team members — whether they’ve been on the team for three weeks or three years. Everyone’s perspective is important.
What qualities does Perpay look for in technical candidates?
While most of its systems and microservices are written in Python, the company prefers talented polyglots that have an insatiable will to learn and create. At Perpay, they’re not afraid of trying new things and are more concerned with finding great problem solvers that will find the right tools for the job.
The Perpay team is most interested in a candidate’s mentality and experience — especially if it is one of delivering solutions that are well designed, reliable and highly scalable. They work in a fast-paced startup environment where efficiency and iterative approaches are critical. This makes it extremely important to find candidates who communicate well and understand the theory, design patterns and implementation details that go into delivering a solution.
How about candidates overall?
Perpay is looking for people who are naturally curious, self-directed and interested in self-improvement. Everyone on the team is eager to learn, excited about what they're working on and is doing their own research about the industry — like reading up on consumer credit and the greater microlending environment.
One thing it values about its team is diversity of experience. Perpay has built a team with all kinds of different backgrounds: finance, engineering, operations, non-profit and even chemistry.
Additionally, because of the work it does, candidates need to have a sense of empathy. A team member can be an amazing problem solver, but in order to be a good fit they need to keep a human element to everything they do. Data can certainly help find an answer, but empathy will often lead to deeper insights.
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