Title: Associate Actuary / Sr. Actuarial Analyst, Claims Analytics Location Chicago, Illinois / Seattle, Washington / San Francisco, California Team Risk Management Subteam Insurance Job Description: About the Role We’re disrupting the transportation space and growing rapidly in both the U.S. and internationally. This is an excellent opportunity for an intellectually curious actuarial candidate to gain valuable non-traditional actuarial experience, all while working in one of Uber’s most critical and fastest-growing divisions. So if you're ready to go deep working on a rewarding set of challenges and if you've got the skills, experience, passion, and a strong team mentality – read on and get in touch! What the Candidate Will Do - Deploy traditional actuarial skills in innovative ways to provide timely, accurate, and actionable claims insights that optimize Uber’s insurance program. - Perform deep dive analysis on claims data to identify operational opportunities, claims trends, and estimate impacts - Design, build, and maintain claims analysis tools that visualize, highlight, and summarize claims insights - Work cross-functionally with claims, data science, insurtech, and actuarial peers on analytics deliverables and communication of findings Basic Qualifications - BA/BS Math, Statistics, Economics, Actuarial Science or similar - Candidate with 4+ CAS Exams and a minimum of 3 years of Property & Casualty (P&C) actuarial experience - Excel skills, proficient with SQL (or similar querying language) Preferred Qualifications - ACAS or FCAS designation, or equivalent - Experience with Python or similar coding languages - Experience with commercial or personal auto insurance - Balance attention to detail with swift and practical execution - Drive to learn complex topics - Enthusiasm about Uber! ~~ ~~ For Chicago, IL-based roles: The base salary range for this role is USD $118,000 per year - USD $131,000 per year. For San Francisco, CA-based roles: The base salary range for this role is USD $131,000 per year - USD $145,000 per year. For Seattle, WA-based roles: The base salary range for this role is USD $118,000 per year - USD $131,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. Ready to Ride? This isn't the kind of place where you follow a playbook — it's where you help write one. If you're driven by impact, energized by challenge, and ready to shape how the world moves — we'd love to hear from you. You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits. Offices remain key to collaboration and Uber's culture. Unless approved for full remote work, employees must spend at least 50% of their time in-office. Some roles, like those at greenlight hubs, require full-time in-office presence. Ask your Recruiter for details about this role's requirements. Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Role Description - Creating and maintaining actuarial reporting process documentation. - Developing and updating IT tools supporting actuarial reporting. - Preparing reports, validations, and analyses related to actuarial calculations. - Taking full responsibility for the end-to-end process of developing actuarial modelling solutions for various entities, product categories, or funds. This includes: - Gathering and analysing stakeholder requirements. - Designing, implementing, and testing solutions. - Preparing comprehensive solution documentation. - Providing subject-matter expertise and support to the team in the area of actuarial topics, particularly life insurance. - Taking full responsibility for the assigned area of analysis. Qualifications - Strong analytical skills. - Good knowledge of SQL and/or Python and/or Snowflake programming languages. - Good command of English, both written and spoken, enabling the reading and creation of documentation. - Knowledge of statistics and actuarial modelling. - University degree (Bachelor’s or Master’s degree). - Experience in designing, developing, and maintaining actuarial or financial data models. Benefits - Contract of employment. - Performance Bonus. - Private medical care (ENEL-MED). - Emotional support consultations. - Cafeteria system of benefits (e.g. MultiSport card). - Additional parent privileges: - Baby leave – 6 weeks leave for second parent. - Shortened working time after parental leave. - Employer-funded group insurance. - Employee Shares Plan. - Access to the e-learning platform. - Paid time off to volunteer. - Internal employee referral program. - Possibility to work remotely. - Flexible start-up times. - Attractive office location - Gdański Business Center. - Additional entitlements for people with disabilities - Work Without Barriers. - Work environment that promotes diversity - Diversity Charter.

• Lead the development of price elasticity curves to forecast the impact of rating changes on policyholder retention and conversion, and assess their impact on customer lifetime value • Own the forecasting of policyholder retention and conversion for the portfolio based on pricing, operational changes, and business initiatives • Drive advances in the risk segmentation sophistication of our rating plans by developing GLM-based rating factors (in R or Python) and championing advanced predictive modeling techniques • Architect and own the tools that monitor the performance of our existing rating plans and rate level over time, including loss ratio, conversion rate, churn, and lifetime value • Write advanced SQL procedures to pull from large, line item level veterinary bill databases, and establish best practices for the team’s data and modeling workflows • Quantify and advise leadership on the impact of coverage and product changes on pricing • Lead the analysis of product design proposals to determine pricing viability, impact on enterprise risk, competitive positioning, and customer value • Maintain deep expertise in competitor filings to understand how our products and pricing stand relative to the market • Lead rate filing and rate indication work, including the development of filings and responses to regulatory objections • Partner with and influence product, underwriting, marketing, BI, and IT teams, and translate complex actuarial concepts for a non-actuarial audience • Pioneer creative approaches to pricing innovative coverage concepts and ideas

• Build and maintain member-level actuarial models covering risk adjustment (RAF) performance, HCC capture and recapture, medical economics, utilization patterns, and population health metrics across MA, MAPD, ACA, and Medicaid populations. • Develop analytics that can support rate-setting for Medicare Advantage Bids, ACA rate filings, Medicaid capitation arrangements, and value-based contract terms. • Reconcile RAF calculations against source files, including the Monthly Membership Report (MMR), Model Output Report (MOR), MAO-004, and the Beneficiary-Level file, and extend that reconciliation logic into customer-facing reporting. • Design the actuarial and analytic logic behind customer-facing dashboards, partnering with data engineering and product teams to translate member-level models into usable, accurate, and timely visualizations. • Produce forecasting and accrual models that support midyear and final settlement estimates, transfer payments, capital planning, and financial reporting for risk adjustment programs. • Analyze utilization trends, medical loss ratio (MLR) drivers, and cost-of-care patterns to identify actionable opportunities for customers managing value-based contracts. • Support MA and HHS RADV (Risk Adjustment Data Validation) readiness by modeling audit exposure and prioritizing chart review and coding efforts based on financial impact. • Communicate model methodology, assumptions, and results clearly to actuarial and non-actuarial audiences, including customer executives. • Partner with clinical, coding, retrieval, and provider engagement teams to align analytic outputs with chronic HCC recapture, care gap closure, and quality initiatives.