Latest AI JobsBrowse Jobs
Rain logo

Product & Risk Analytics Manager

RainUnited StatesProduct
Apply on company site
Salary
$130K - $150K USD
Job type
Full-time
Work mode
Remote
Posted
29 Sept 2026
Status
Open · checked 7d ago

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

Design, deploy, and refine machine learning risk and underwriting models to mitigate loss, reduce ACH failures, and prevent fraud.
Monitor production machine learning models for drift, track feature importance, and maintain data governance standards.
Construct and scale Looker dashboards and LookML data models, managing code and SQL via Git and GitHub.
Conduct deep-dive analyses into user behavior, customer segmentation, and acquisition funnels to support product engagement and retention.
Design and evaluate A/B tests, assess marketing campaign performance, model customer acquisition cost and lifetime value, and monitor company key performance indicators.
Partner with cross-functional teams to ensure data accuracy and translate intricate insights into executive narratives.

Requirements

Five to seven years of professional experience in data, product, and risk analytics, featuring demonstrated success in building and launching credit or banking risk models.
Advanced expertise in SQL, including Snowflake and complex querying capabilities.
Strong proficiency in Python machine learning libraries such as Pandas, Scipy, and XGBoost.
Practical, hands-on experience utilizing business intelligence tools like Looker or Superset.
Comprehensive understanding of statistical principles, hypothesis testing, and A/B experimentation methodologies.
Ability to excel as an individual contributor in a fast-paced, ambiguous startup setting while utilizing AI tools to scale efficiency.

Nice to Have

A proven track record of building, mentoring, or scaling high-performing analytics teams.

Skills and Tools

SQL
Snowflake
Python
Pandas
Scipy
XGBoost
Looker
Superset
Git / GitHub
Machine Learning Modeling
A/B Testing

Salary and Benefits

Annual compensation ranging from $130,000 to $150,000 USD
Flexible Paid Time Off
Comprehensive medical, dental, vision, life, and disability coverage
Parental leave benefits
Monthly stipend
Equity options

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.

Ready to apply?

The application is on the official Rain careers page.

Apply on company site