
Actuarial Manager
Posted 15 hours ago

Posted 15 hours ago
This is a fully remote position, open to applicants in Texas.
• Query, calculate, transform, and manipulate extensive complex datasets utilizing SQL, Python, R, or similar technologies.
• Identify issues and evaluate their effects across large datasets through data mining, predictive modeling, simulation, and visualization techniques.
• Create analytical solutions for theoretical business requirements using suitable models and methodologies.
• Conduct exploratory data analysis and reasonableness assessments to ensure data sufficiency.
• Design, develop, and validate both predictive and prescriptive solutions to guide decisions and recommendations.
• Execute advanced ad-hoc tasks with minimal supervision while maintaining accuracy, relevance, and completeness.
• Collaborate with finance, accounting, engineering, platform teams, R&D, IT, and other departments.
• Coach, mentor, and lead team members in researching, developing, implementing, and applying innovative actuarial models and methodologies.
• Develop insurance pricing, estimate reserves, forecast trends, manage risk, and model the financial impact of uncertain future events.
• Mastery of actuarial principles related to ratemaking, reserving, and other actuarial analyses.
• Strong experience in developing analytical solutions using R, Python, or similar tools, including reserving software.
• Proficiency with both code-based and GUI-based modern data visualization tools.
• Experience in querying, combining, and transforming large and intricate datasets using SQL, Python, R, or similar technologies.
• Experience in applying advanced probability, statistics, statistical modeling, data mining, machine learning, or deep learning techniques.
• Excellent organizational and project management abilities.
• Strong decision-making and critical thinking capabilities.
• Exceptional oral and written communication skills, including active listening.
• Ability to present findings and make recommendations across departments and to leadership.
• Capability to collaborate with and influence multidisciplinary teams.
• Working knowledge of reserving software such as ResQ and Arius.
• A Bachelor's Degree in Mathematics, Actuarial Science, Data Science, Statistics, Computer Science, or a related quantitative field is required.
• 6–8 years of experience in actuarial ratemaking and reserving, statistics, data science, and/or related quantitative fields is required.
• A minimum of 2 years of experience in a leadership role is required.
• Candidates requiring visa sponsorship will not be considered.
• 401K matching.
• Bonding leave for new parents: 12 weeks, 100% paid.
• Tuition assistance.
• Training opportunities.
• GM employee auto discount.
• Community service pay.
• Nine company holidays.
• Competitive salary and bonus eligibility.
• Performance-based incentive program.
• Health benefits from day one of employment.
• 100% remote work.
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