About this role
Rain is currently hiring a Product & Risk Analytics Manager to join the Business Operations & Analytics team on a remote basis within the United States or in the downtown Nashville office. This opportunity is well-suited for an experienced analytics professional who wants to shape product strategy, build machine learning risk models, and optimize loss mitigation for a fast-growing financial platform.
Role Overview
The Product & Risk Analytics Manager functions as the primary data storyteller and subject matter expert for the organization. This role involves analyzing user behavior, transactional data, and repayment patterns to minimize risk and influence product growth. Reporting directly to the Head of Business Operations & Analytics, the selected professional will collaborate closely with engineering, product, marketing, and leadership teams.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
Rain operates as an AI financial health platform serving 3.5 million employees at major organizations like McDonald's, Marriott, and T-Mobile. The company assists employees in managing their financial lives to prevent shortfalls and secure long-term stability. Backed by investors such as QED and Prosus, Rain has secured $150 million in venture funding to support its ongoing hyper-growth phase.
How to Apply
Interested candidates should submit their application directly on the official Rain careers page.
Skills and tech stack
Questions candidates ask
What is the salary range for the Product & Risk Analytics Manager role?
The annual salary for this position ranges from $130,000 to $150,000 USD, with total compensation determined by a variety of factors.
Can I work remotely for this position?
Yes, this position offers the option to work remotely within the United States or in-person at the downtown Nashville office.
What technical skills are required for the role?
Candidates must have expert SQL skills (including Snowflake and complex queries), proficiency in Python ML libraries like Pandas, Scipy, and XGBoost, and hands-on experience with business intelligence tools such as Looker.
How many years of experience are needed?
The role requires 5 to 7 years of professional experience in data, product, and risk analytics, specifically with credit or banking risk models.
What benefits does Rain offer employees?
Rain provides flexible PTO, medical, dental, vision, life, and disability coverage, parental leave, a monthly stipend, and equity options.
