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Associate Actuary [Remote-US]
Associate Actuary [Remote-US]Quanata • San Francisco, CA, US
Associate Actuary [Remote-US]

Associate Actuary [Remote-US]

Quanata • San Francisco, CA, US
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Job Description

Job Description

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

From data scientists and actuaries to engineers, designers and marketers, we're a world class team of tech-minded professionals from some of the best companies in Silicon Valley, and around the world. We've come together to create the context-based insurance solutions and experiences of the future. We know that the key to our success isn't just about nailing the technology—it's hiring the talented people who will help us continue to make a quantifiable impact.

The Role

We're looking for an accomplished and well-rounded Associate Actuary to revolutionize actuarial and risk solutions using Python, R, SQL or other cloud technology and advanced analytics tools.

Your day-to-day

  • Analyze ratemaking, competitive analysis and customer data using actuarial and data analytics solutions to provide rating insights and make recommendations on rates.
  • Review filing requirements and prepare filings for regulatory authorities; this includes actuarial memo, rate indication, and modeling related supporting exhibits.
  • Leverage GLM expertise to collaborate and provide input and feedback to our Data Scientists and review model results
  • Leverage Python programming language or other advanced analytics tools to automate and improve pricing, reserving and risk management solutions.
  • Develop and maintain actuarial, risk and forecasting tools using relevant actuarial, statistical and data science methodologies.
  • Communicate with both internal and external stakeholders to share results of actuarial and risk analysis, and provide reserving, pricing, and other actuarial services to support our parent company.
  • Collaborate with cross-functional teams to curate and support delivery of actuarial products and services, ensuring exceptional performance and identifying opportunities for growth and product expansion.
  • Contribute to the ideation and development of new product feature offerings, with the potential for 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
  • 3 - 5 years of hands-on experience in P&C ratemaking, with a strong track record of automating actuarial solutions
  • Programming proficiency 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
  • Passed a minimum of 4 actuarial exams
  • Strong 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 : $156,000 to $190,000

  • 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 people grow personally and professionally. All employees receive up to $5000 each year for professional learning, continuing education and career development. All team members also receive LinkedIn Learning subscriptions and access to multiple different coaching opportunities through BetterUp.
  • Location : We are a remote-first company for most positions so you may work from anywhere you like in the U.S, excluding U.S. territories. For most positions, occasional travel may be requested or encouraged but is not required . Some positions might require travel per the job description provided to the employee. Employees based in the San Francisco Bay Area or in Providence, Rhode Island may commute to one of our local offices as desired.
  • Hours : We maintain core meeting hours from 9AM - 2PM Pacific time for collaborating with team members across all time zones.
  • Quanata, LLC is an equal opportunity workplace. We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

    If you are a San Francisco resident, please read the City and County of San Francisco's Fair Chance Ordinance notice. https : / / www.sf.gov / sites / https : / / www.sf.gov / sites / default / files / 2022 - 12 / FCO%20poster2020_0.pdf

    This role is employed by Quanata, LLC which is a separate company in the State Farm family of companies.

    If you require a reasonable accommodation, please reach out to your Talent Acquisition Partner for assistance.

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