Actuary [Remote-US]
Quanata · Remote
📍 remote💰 $210,000 to $260,000via greenhousePosted 2026-06-25
Apply on company site ↗
CareerRiver pulls this listing straight from the employer's hiring system — no recruiter middleman, no reposts. Applying takes you directly to Quanata.
To help keep everyone safe, we encourage all applicants to pay close attention to protect themselves during their job search. When applying for a position online you are at risk of being targeted by malicious actors looking for personal data. Please be aware we will only reach out via email using the domain quanata.com. Anything that does not match those domains should be ignored and considered a security risk.
About Us
Quanata is on a mission to help ensure a better world through context-based insurance solutions. We are an exceptional, customer centered team with a passion for creating innovative technologies, digital products, and brands. We blend some of the best Silicon Valley talent and cutting-edge thinking with the long-term backing of leading insurer, State Farm.
Learn more about us and our work at quanata.com
Our Team
Quanata, LLC is an insurance technology innovation company that engineers advanced risk prediction and prevention solutions, develops risk-focused acquisition capabilities, and builds/supports a full-stack, flexible, digital & increasingly AI-native insurance platform. This helps our primary clients, State Farm and HiRoad Assurance Company, adapt to evolving market needs. Quanata, LLC is wholly owned and funded by State Farm.
As a company that prioritizes an inclusive and positive culture, we believe the core of our success is in hiring talented people — across disciplines — who want to help us make a quantifiable impact. The Role
We’re looking for an accomplished and well-rounded Actuary to revolutionize actuarial and risk solutions using Python, R, SQL or other cloud technology and advanced analytics tools.
Your day-to-day
Independent Execution - Independently analyze ratemaking, competitive analysis and customer data using actuarial and data analytics solutions to provide high-level rating recommendations and drive results
Regulatory Leadership - Lead the preparation and review of complex regulatory filings: this includes actuarial memo, rate indication, and modeling related supporting exhibits.
Proficient Modeling - Utilize GLM expertise and machine learning expertise build, validate and interpret GLM models, provide expert feedback to Data Science partners
Process Automation and Improvement - Proactively identify and executive initiatives to automate pricing, reserving and risk workflows using Python or other cloud technologies
Tool Development - Design, develop and maintain actuarial, risk and forecasting tools using relevant actuarial, statistical and data science methodologies.
Stakeholder Management - Act as a key resource for the team, translating complex technical findings into actionable strategies for internal and external stakeholders
Cross Functional Collaboration - Lead cross-functional collaborative effort to curate and support delivery of actuarial products and services, ensuring exceptional performance and identifying opportunities for growth and product expansion.
Strategic Contribution - Significantly contribute to the ideation and development of new product feature offerings, with direct involvement and ownership of analysis, technical design, and output.
About You
BS/BA in Math, Statistics, Economics, Actuarial Science or similar or equivalent relevant experience
6-8 years of hands-on experience in P&C ratemaking, with a strong track record of automating actuarial solutions
Deep programing experience in at least one of: Python (Pandas, NumPy, and Scikit-learn) or R (dplyr, ggplot2, caret)
Solid understanding of statistical techniques including GLM, with the ability to build models and interpret results
Progress towards ACAS/FCAS designation (expected to have passed 5+ exams)
Expert knowledge of insurance fundamentals, including pricing methodologies, reserving techniques, and regulatory requirements
Proficient SQL and modern data warehouses (Snowflake preferred).
Experience using data visualization tools (Matplotlib, Seaborn,Tableau, or similar)
Excellent communication for cross-functional collaboration
Entrepreneurial mindset with a passion for innovation and driving new product development
Bonus Points
Multi-language programming experience (Python + R + SQL) with cloud platform knowledge (AWS, Azure or similar)
Experience building models using GLMs or other machine learning techniques
Understanding of telematics data and usage based insurance model development
Non-traditional actuarial experience (ridesharing, InsurTech) or full product lifecycle experience from concept to market launch
Salary: $210,000 to $260,000*
*Please note that the final salary offered will be determined based on the selected candidate's skills, and experience, as well as the internal salary structure at Quanata. Our aim is to offer a competitive and equitable compensation package that reflects the candidate's expertise and contributions to our organization.
Additional Details:
Benefits : We provide a wide variety of health, wellness and other benefits.These include medical, dental, vision, life insurance and supplemental income plans for you and your dependents, a Headspace app subscription, monthly wellness allowance and a 401(k) Plan with a company match.
Work from Home Equipment : Given our virtual environment— in order to set you up for success at home, a one-time payment of $2K will be provided to cover the purchase of in-home office equipment and furniture at your discretion. Also, our teams work with MacBook Pros, which we will deliver to you fully provisioned prior to your first day.
Paid Time Off: All employees accrue four weeks of PTO in their first year of employment. New parents receive twelve weeks of fully paid parental leave which may be taken within one year after the birth and/or adoption of a child. The twelve weeks is applicable to both birthing and non-birthing parent.
Personal and Professional Development: We’re committed to investing in and helping our
More Remote jobs
Remote jobs · Browse all locations