The Role

We’re looking for an accomplished and well-rounded Associate Actuarial Data Scientist to revolutionize actuarial and risk solutions using Python. This position will report to the Director of Actuarial Operations and Risk Management. 

Your day-to-day

1. Leverage Python programming language to automate and improve pricing, reserving and risk management solutions.
2. Develop and maintain actuarial, risk and forecasting tools using relevant actuarial, statistical and data science methodologies.
3. Analyze ratemaking and customer data to provide rating insights and make recommendations on rates. 
4. Review filing requirements and prepare filings for regulatory authorities; this includes actuarial memo, indication, and modeling related supporting exhibits.
5. 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.
6. 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.
7. Contribute to the ideation and development of new product offerings, with the potential for direct involvement and ownership of analysis, technical design, and output.

About You

• BS/BA in Math, Statistics, Economics or similar or relevant experience
• Passed 3 or more Actuarial exams
• 2 years of Python experience with proficiency in packages such as Pandas, NumPy, and Scikit-learn.
• Experience with data visualization libraries like Matplotlib and Seaborn. 
• Proficient with relational databases and querying languages such as SQL or Snowflake
• Experience with data visualization tools such as Redash or Tableau
• 3 years of solid P&C experience and experience automating existing solutions
• Ability to apply analytical and statistical concepts to build models and interpret GLM output
• Strong understanding of insurance principles, reserving techniques, and regulatory requirements relevant to personal lines insurance
• Excellent communication and collaboration skills to work with cross-functional teams or autonomously
• Entrepreneurial mindset and drive to innovate and expand our product offerings

Bonus Points

• Passed 5 or more Actuarial exams 
• You have experience with the Python Chainladder package, object-oriented programming, time series, machine learning, or other actuarial-specific libraries. 
• Familiarity with telematics data and its applications in pricing, underwriting, and risk assessment
• Prior experience in non-traditional actuarial roles (ridesharing, InsurTech) or a range of traditional roles (e.g. Pricing, reserving, modeling, ERM)
• Experience building insurance product from ground up

Salary: $150,000 to $200,000*

*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 Udemy 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. Occasional travel may be required for team meetings or company gatherings. 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 - 3PM Pacific time for collaborating with team members across all time zones.