Lead Risk Analytics Data Scientist

Lead Risk Analytics Data Scientist at Extend

• •You'll join our centralized Risk, Analytics & Data Science team at Extend, where you'll play an essential role in the risk monitoring process for our product protection and shipping protection offerings.
• •Key Responsibilities Price deals no one has priced before.
• •Turn a monitoring function into a decision engine.
• •Own the risk narrative with senior leadership.
• •Build the data foundation for Risk Analytics
• •and make it yours.
• •Actually use AI to change how the team works.
• •Requirements Strong analytical and data skills spanning SQL, Python or R, pipeline development and data modeling (dbt, Snowflake), and visualization tools such as Tableau or Streamlit. 5+ years of experience working on actuarial pricing, predictive modeling or other Risk Analytics related areas Ability to dive deep into data and communicate insights to audiences of all backgrounds, especially to teams with less data & analytics experience Relevant Actuarial experience (such as Associate of the Casualty Actuarial Society (ACAS) or equivalent exam experience) preferred but not required Excited and passionate about the new AI tools (Claude, Gemini, etc.) and eager to learn how that can help improve our day-to-day efficiency Bachelor’s degree in Actuarial Science, Mathematics, Statistics, or a related field Ability and interest in thinking beyond the insurance organization, considering the challenges of other teams, and prioritizing what is best for the business holistically, is essential Empathy, humility, and curiosity