Lead Risk Analytics Data Scientist

This is a fully remote position, open to applicants in California.

📋 Description

• Price deals that have not been priced before.

• Transform a monitoring function into a decision-making engine.

• Manage the risk narrative with senior leadership.

• Establish the data foundation for Risk Analytics — and make it your own.

• Utilize AI to revolutionize the team's operational methods.

⛳️ Requirements

• Strong analytical and data skills across SQL, Python or R, pipeline development, and data modeling (dbt, Snowflake), along with visualization tools like Tableau or Streamlit.

• Over 5 years of experience in actuarial pricing, predictive modeling, or other areas related to Risk Analytics.

• Capability to analyze data in depth and convey insights to various audiences, particularly teams with limited data and analytics experience.

• Relevant actuarial qualifications (for instance, Associate of the Casualty Actuarial Society (ACAS) or equivalent exam experience) are preferred but not mandatory.

• Enthusiastic and passionate about new AI tools (such as Claude, Gemini, etc.) and eager to learn how these can enhance our daily efficiency.

• Bachelor’s degree in Actuarial Science, Mathematics, Statistics, or a related discipline.

• A willingness and interest in thinking beyond the insurance organization, considering the challenges faced by other teams, and prioritizing what is best for the business as a whole is essential.

• Possess empathy, humility, and curiosity.

🏝️ Benefits

• Competitive salary based on experience, along with comprehensive medical, dental, and vision benefits.

• Equity in a rapidly growing early-stage startup.

• Generous and flexible paid time off policy.

• 401(k) plan with financial guidance provided by Morgan Stanley.