Risk Data Scientist

Rippling

Rippling, based in San Francisco, unifies various workforce management systems such as HR, IT, and Finance. Renowned for their innovative platform that automates employee lifecycle processes, they have secured substantial investment from prominent venture capital firms. This role is within the Credit Risk team, focusing on leveraging data science to optimize credit risk strategies across financial offerings.

In this role you can expect to have the responsibilities:

• Develop and refine credit risk models for financial products.
• Analyze customer financial data to identify risk patterns.
• Prepare and transform data for model feature engineering.
• Collaborate with cross-functional teams to integrate insights into workflows.
• Evaluate and adjust credit risk strategies using KPIs.
• Prepare and communicate risk analysis findings to stakeholders.

This role comes with the following benefits:

• Competitive salary
• Benefits package
• Equity options
• Commitment to diversity and inclusion.

This role requires you to have:

• 3+ years in data science and analytics.
• Bachelor’s degree in Data Science, Mathematics, or related fields.
• Proficiency in Python, R, and SQL.
• Strong analytical and problem-solving skills.
• Excellent communication skills.

You would benefit from having:

• Understanding of credit risk and financial analysis.
• Experience with machine learning models.
• Background in SaaS or FinTech sectors.
• Knowledge of financial risk management.

Rippling emphasizes diversity and inclusion, offering equal opportunity employment and providing reasonable accommodations for candidates with disabilities. Employees are encouraged to work from the office three days a week to bolster collaboration and culture.