Product & Risk Analytics Manager

Rain

. Analyze product, user, repayment, and transactional data to uncover insights shaping strategy and product development .

Posted 9/29/2026full-timeRemote • United StatesMid-LevelSenior💰 $130,000 - $150,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data analysis, risk modeling, and machine learning, with a strong focus on building and deploying credit and banking risk models. Proficient in SQL and Python, with hands-on experience in BI tools and A/B testing to drive actionable insights and strategic recommendations.

Highest-signal resume keywords

Expert SQLPython ML LibrariesLooker Dashboard DevelopmentRisk AnalyticsA/B Testing

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisRisk ModelingMachine LearningStatistical PrinciplesComplex SQL QueriesData GovernanceFeature Importance TrackingUser Behavior AnalysisMarketing Campaign MeasurementKPI Tracking

Soft Skills

Actionable RecommendationsTeam BuildingMentoringCollaborationCommunication

Tools & Technologies

LookerApache SupersetSnowflakeGitGitHub

Industry Keywords

FintechFinancial ServicesBankingCredit RiskFraud Prevention

Tech Stack

Tools & technologies

ApachePandasPythonSQL

About the role

Key responsibilities & impact

Analyze product, user, repayment, and transactional data to uncover insights shaping strategy and product development
Design, deploy, and refine machine learning risk and underwriting models focused on loss mitigation, ACH failure reduction, and fraud prevention
Monitor production ML models for drift and track feature importance
Maintain data governance for long-term risk strategy stability
Build and scale Looker dashboards and LookML data models
Manage code and SQL via Git/GitHub using branching and pull-request best practices
Analyze user behavior, acquisition funnels, and customer segmentation
Design and analyze A/B tests
Measure marketing campaign effectiveness and model CAC and LTV
Track company-wide KPIs
Partner with Engineering, Product, Finance, Marketing, and leadership
Translate complex insights into actionable recommendations and executive narratives
Improve the analytical capability of the team and organization
Report to the Head of Business Operations & Analytics
Deliver individual-contributor impact while helping scale the business and potentially build and lead a team

Requirements

What you’ll need

5–7 years in data, product, and risk analytics
Proven success building and deploying credit/banking risk models
Expert SQL, including Snowflake and complex queries
Proficiency in Python ML libraries: Pandas, Scipy, and XGBoost
Hands-on experience with BI tools such as Looker and Superset
Deep understanding of statistical principles and hypothesis testing
Hands-on A/B experimentation experience
Ability to work as an individual contributor in fast-paced, ambiguous startup environments
Experience leveraging AI tools to scale output quality and efficiency
Proven track record of building, mentoring, or scaling high-performing analytics teams preferred
Legally authorized to work in the United States
Must have at least 5 years of experience in data analyst, risk analyst, business intelligence, or product analyst roles
Experience in fintech, financial services, banking, or equivalent
Experience writing complex SQL queries, including window functions, CTEs, and aggregations
Experience building or maintaining dashboards in a BI tool such as Looker or Apache Superset

Benefits

Comp & perks

Flexible PTO
Medical, Dental, Vision, Life, Disability coverage
Parental leave
Monthly stipend
Equity options
Option to work remotely or in-person in the downtown Nashville office