Python Pandas Remote Jobs (NOW HIRING)

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.

1. 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
2. Regulatory Leadership - Lead the preparation and review of complex regulatory filings: this includes actuarial memo, rate indication, and modeling related supporting exhibits.
3. Proficient Modeling - Utilize GLM expertise and machine learning expertise build, validate and interpret GLM models, provide expert feedback to Data Science partners
4. Process Automation and Improvement - Proactively identify and executive initiatives to automate pricing, reserving and risk workflows using Python or other cloud technologies
5. Tool Development - Design, develop and maintain actuarial, risk and forecasting tools using relevant actuarial, statistical and data science methodologies.
6. Stakeholder Management - Act as a key resource for the team, translating complex technical findings into actionable strategies for internal and external stakeholders
7. 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.
8. 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.

• 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

• 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 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.