Actuarial Associate

Actuarial Associate Apply Overview Position Type Full Time Category Actuarial & Product Apply Actuarial Associate Job Summary: We are seeking a Homeowners Assistant Actuary to join our Product Team at a high-growth personal homeowners insurance company. As a Homeowners Assistant Actuary at Bamboo Insurance, you will contribute to shaping our insurance products and pricing strategies under the guidance of senior actuarial staff. You will work collaboratively with cross-functional teams to help ensure that our homeowners insurance offerings are competitive, compliant with regulatory requirements, and financially sound. This is an exciting opportunity for a business-minded actuarial professional who combines strong analytical capabilities with a strategic, results-oriented mindset and exceptional organizational skills. This role will have a focus on Homeowners pricing for both our existing programs as well as new state expansion. The ideal candidate brings not only technical actuarial expertise but also the ability to translate data-driven insights into clear business recommendations, manage competing priorities effectively, and drive initiatives forward in a fast-paced, growth-oriented environment. We are open to candidates across a range of experience levels and will calibrate the role accordingly. Duties/Responsibilities: · Lead and support the development and refinement of pricing strategies and models for homeowners insurance products, ensuring profitability, market competitiveness, and alignment with broader business objectives. · Perform actuarial analyses, including rate indications and rate filings, in accordance with state regulatory requirements. · Act as a strategic business partner to underwriting, product management, claims, and compliance teams — leading the design and modification of insurance products based on market insights, data analytics, and business priorities. · Apply advanced actuarial techniques, statistical methods, and modeling to forecast and clearly communicate the business impact of pricing, underwriting, and product changes to both technical and non-technical audiences. · Extract, manipulate, and analyze large datasets using SQL and Python to support pricing, reserving, and risk modeling initiatives for homeowners insurance. · Own and manage multiple workstreams simultaneously, maintaining organized project plans, timelines, and documentation to keep stakeholders informed and deliverables on track. Required Skills/Abilities: · Strong business acumen with the ability to translate complex actuarial analyses into actionable business recommendations. Comfortable influencing decisions across all levels of the organization. · Solid foundational knowledge of homeowners insurance products and pricing · Experience with predictive modeling and advanced analytics techniques, including machine learning · Excellent communication skills to convey complex actuarial concepts to non-actuarial stakeholders. · Exceptional organizational skills, with a proven ability to manage multiple priorities, maintain structured workflows, and consistently meet deadlines in a fast-paced environment. Required Education and Experience: · Bachelor's degree in mathematics, actuarial science, statistics, or related quantitative field. · A minimum of four years of experience in property and casualty insurance, with a focus on personal lines insurance · Strong proficiency in actuarial and data analysis tools (e.g., Excel, SQL, Python). · Experience with regulatory filings and interacting with state insurance departments Preferred Requirements: · Prior experience working with homeowners insurance products · Familiarity with regulatory filing processes, including experience interacting with state regulators. · ACAS or near-ACAS · Experience with cat modeling and using the outputs of cat models in pricing Physical Requirements: · Prolonged periods of sitting at a desk and working on a computer Salary: Starting at $130,000 annually. Candidate's skills, experience and abilities will be taken into consideration for final offer.