Rippling gives businesses one place to run HR, IT, and Finance. It brings together all of the workforce systems that are normally scattered across a company, like payroll, expenses, benefits, and computers.

For the first time ever, you can manage and automate every part of the employee lifecycle in a single system. Take onboarding, for example. With Rippling, you can hire a new employee anywhere in the world and set up their payroll, corporate card, computer, benefits, and even third-party apps like Slack and Microsoft 365 - all within 90 seconds.

Based in San Francisco, CA, Rippling has raised $1.2B from the worlds top investors - including Kleiner Perkins, Founders Fund, Sequoia, Greenoaks, and Bedrock - and was named one of America's best startup employers by Forbes.

Overview :

We are looking for a highly analytical Senior Analyst to support key initiatives across risk, underwriting, and operations.

This role will focus on leveraging data to identify opportunities, improve decision-making, and drive operational efficiency.

You will play a hands-on role in developing predictive models and supporting the design and deployment of AI-driven solutions, including agent-based systems, to scale workflows and enhance performance

What Youll Do :

- Analyze large datasets to identify trends, root causes, and actionable insights

- Support risk, underwriting, and operational decision-making through data analysis and reporting

- Build, validate, and maintain predictive models (e.g., risk scoring, forecasting, classification)

- Partner with Product, Engineering, and Operations to implement data-driven solutions

- Help design and improve workflows to increase efficiency and reduce losses

- Contribute to the development and deployment of AI agents to automate operational processes and support decision-making

- Assist in productionizing models and tools in collaboration with engineering teams

- Monitor performance of models and systems, and support ongoing iteration and improvement

What Were Looking For :

- 3 - 5+ years of experience in analytics, data science, or operations-focused roles

- Strong analytical and problem-solving skills with experience working with large datasets

- Experience building predictive models and applying statistical or machine learning techniques

- Proficiency in SQL and Python (or similar tools)

- Experience working cross-functionally and supporting execution of projects

- Ability to clearly communicate insights to both technical and non-technical stakeholders

- Exposure to AI/ML systems, including experience or interest in agent-based workflows or LLM-powered tools

- Experience in risk, underwriting, payments, or financial operations is a plus

Nice to Have :

- Experience in high-growth or startup environments

- Familiarity with workflow automation or process optimization

- Experience working with production data systems or model deployment