Bamboo Insurance
Senior Predictive Modeling Actuary
Bamboo Insurance, Granite Heights, Wisconsin, United States
Job Details
Position Type : Full Time
Salary Range : Undisclosed
Job Category : Actuarial & Product
Description
Job Summary: We are seeking a Senior
Predictive Modeling Actuary
to join our Product Team at a high-growth personal homeowners insurance company. As a Senior
Predictive Modeling Actuary
at Bamboo Insurance, you will play a key role in building, testing, and deploying various predictive models for all aspects of insurance. You will work collaboratively with cross-functional teams to ensure that the models are sound and actionable. This is an exciting opportunity for an actuarial/modeling professional looking to make a significant impact in the property and casualty insurance industry. Duties/Responsibilities: Lead the end-to-end development, validation, and deployment of predictive models (e.g., frequency/severity, underwriting risk selection, lifetime value) for homeowners insurance products in California, Texas, and new markets. Ensure models are robust, interpretable, and aligned with business objectives, regulatory expectations, and production requirements. Proactively identify and evaluate opportunities where predictive analytics can optimize business performance or improve operational efficiency. Partner closely with cross-functional leaders in actuarial pricing, underwriting, claims, and product to influence strategy and align priorities. Mentor and provide technical oversight to junior modeling and actuarial staff. Communicate modeling results and implications to executive leadership and business stakeholders with clarity and confidence. Stay abreast of industry trends, emerging techniques, and regulatory developments in insurance analytics and modeling. Required Skills/Abilities: Strong analytical, strategic thinking, and problem-solving skills; comfortable navigating complex and ambiguous business challenges. Proven ability to lead and manage high-impact modeling projects from concept through implementation. Exceptional communication skills with the ability to convey complex quantitative concepts to non-technical audiences and senior executives. Strong understanding of predictive modeling techniques and actuarial methods, with the judgment to apply the right tool for the problem. Required Education and Experience: Bachelor's degree in data science, mathematics, actuarial science, statistics, or related quantitative field. A minimum of six years of experience in an actuarial role, with a focus on predictive modeling or data science FCAS or near-FCAS designation preferred; significant experience in homeowners or property insurance a strong plus. Strong proficiency in programming languages such as R or Python Preferred Requirements: Familiarity with data visualization tools like Tableau or Power BI. Familiarity with regulatory environments in California and/or Texas homeowners insurance Experience mentoring junior analysts or actuaries Physical Requirements: Prolonged periods of sitting at a desk and working on a computer. Salary:
Starting at $150,000 annually. Candidate's skills, experience and abilities will be taken into consideration for final offer. Bamboo is committed to the principles of equal employment. We are committed to complying with all federal, state, and local laws providing equal employment opportunities, and all other employment laws and regulations
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Position Type : Full Time
Salary Range : Undisclosed
Job Category : Actuarial & Product
Description
Job Summary: We are seeking a Senior
Predictive Modeling Actuary
to join our Product Team at a high-growth personal homeowners insurance company. As a Senior
Predictive Modeling Actuary
at Bamboo Insurance, you will play a key role in building, testing, and deploying various predictive models for all aspects of insurance. You will work collaboratively with cross-functional teams to ensure that the models are sound and actionable. This is an exciting opportunity for an actuarial/modeling professional looking to make a significant impact in the property and casualty insurance industry. Duties/Responsibilities: Lead the end-to-end development, validation, and deployment of predictive models (e.g., frequency/severity, underwriting risk selection, lifetime value) for homeowners insurance products in California, Texas, and new markets. Ensure models are robust, interpretable, and aligned with business objectives, regulatory expectations, and production requirements. Proactively identify and evaluate opportunities where predictive analytics can optimize business performance or improve operational efficiency. Partner closely with cross-functional leaders in actuarial pricing, underwriting, claims, and product to influence strategy and align priorities. Mentor and provide technical oversight to junior modeling and actuarial staff. Communicate modeling results and implications to executive leadership and business stakeholders with clarity and confidence. Stay abreast of industry trends, emerging techniques, and regulatory developments in insurance analytics and modeling. Required Skills/Abilities: Strong analytical, strategic thinking, and problem-solving skills; comfortable navigating complex and ambiguous business challenges. Proven ability to lead and manage high-impact modeling projects from concept through implementation. Exceptional communication skills with the ability to convey complex quantitative concepts to non-technical audiences and senior executives. Strong understanding of predictive modeling techniques and actuarial methods, with the judgment to apply the right tool for the problem. Required Education and Experience: Bachelor's degree in data science, mathematics, actuarial science, statistics, or related quantitative field. A minimum of six years of experience in an actuarial role, with a focus on predictive modeling or data science FCAS or near-FCAS designation preferred; significant experience in homeowners or property insurance a strong plus. Strong proficiency in programming languages such as R or Python Preferred Requirements: Familiarity with data visualization tools like Tableau or Power BI. Familiarity with regulatory environments in California and/or Texas homeowners insurance Experience mentoring junior analysts or actuaries Physical Requirements: Prolonged periods of sitting at a desk and working on a computer. Salary:
Starting at $150,000 annually. Candidate's skills, experience and abilities will be taken into consideration for final offer. Bamboo is committed to the principles of equal employment. We are committed to complying with all federal, state, and local laws providing equal employment opportunities, and all other employment laws and regulations
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