Extend
post-purchase experience
LeadRiskAnalyticsDataScientist
Neural analysis suggests this role is
optimal for Lead candidates.
“Lead Risk Analytics Data Scientist at Extend. Skills: Risk Analytics, Data Science, pricing, predictive modeling, data modeling, Snowflake, dbt. Price deals no one has priced before. Design the premium structure from first principles”
What You'll Achieve.
maintain a healthy loss ratio through premium changes, underwriting process and claims initiatives; support measurement of unit economics to feed business decisions; develop appropriate premiums for new coverages and product categories; own it through launch; Turn a monitoring function into a decision engine; Build the tooling that makes that call possible; Own the risk narrative with senior leadership; Build the data foundation for Risk Analytics; shape how this function works for the next several years; use AI to change how the team works; raise the floor on what the team can produce
Industry & Context.
analytical and data skills; dive deep into data; figure out how to validate it when the data is thin; Turn a monitoring function into a decision engine; Build the tooling that makes that call possible; design the data models; set the standards; shape how this function works; find the places in the risk analytics workflow where a manual step shouldn't be manual; automating it; raising the floor on what the team can produce
What They're Looking For.
Must Have
SQL, Python or R, pipeline development, data modeling, 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, 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
Nice to Have
Relevant Actuarial experience (such as Associate of the Casualty Actuarial Society (ACAS) or equivalent exam experience), 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
What You'll Do.
Price deals no one has priced before
Design the premium structure from first principles
Figure out how to validate it when the data is thin
Own it through launch
Turn a monitoring function into a decision engine
Build the tooling that makes that call possible
Make recommendations on claims initiatives
and program renegotiations
Own the risk narrative with senior leadership
Explain why the loss ratio moves and what comes next
Build the data foundation for Risk Analytics
Design the data models
Shape how this function works for the next several years
Use AI to change how the team works
Find places in the risk analytics workflow where a manual step shouldn't be manual
Automate manual steps
Raise the floor on what the team can produce
Experiment with AI tools
How You'll Work.
Team & Collaboration
Collaborate with cross-functional teams; Partnering with the cross functional teams (Product / Program, Revenue / Sales, etc.)
Communication Scope
communicate insights to audiences of all backgrounds, especially to teams with less data & analytics experience; Own the risk narrative with senior leadership; explain why the loss ratio moves and what comes next, to an audience that includes the C-suite
Full Job Description
About Extend: Extend is revolutionizing the post-purchase experience for retailers and their customers by providing merchants with AI-driven solutions that enhance customer satisfaction and drive revenue growth. Our comprehensive platform offers automated customer service handling, seamless returns/exchange management, end-to-end automated fulfillment, and product protection and shipping protection alongside Extend's best-in-class fraud detection. By integrating leading-edge technology with exceptional customer service, Extend empowers businesses to build trust and loyalty among consumers while reducing costs and increasing profits. Today, Extend works with more than 1,000 leading merchant partners across industries, including fashion/apparel, cosmetics, furniture, jewelry, consumer electronics, auto parts, sports and fitness, and much more. Extend is backed by some of the most prominent technology investors in the industry, and our headquarters is in downtown San Francisco. About the Role: 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. You will collaborate with cross-functional teams to help Extend maintain a healthy loss ratio through premium changes, underwriting process and claims initiatives. A great opportunity to convert your analytics expertise into business impact by supporting measurement of unit economics to feed strong business decisions. You will also be partnering with the cross functional teams (Product / Program, Revenue / Sales, etc.) to develop appropriate premiums for new coverages and product categories. This isn't a "maintain the existing model" role. You'll be involved from the moment a new merchant deal is being negotiated, through program design, all the way to launch. You also have the opportunity to take ownership of data architecture for the Risk Analytics function. We've invested heav
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