The Role
Lead actuarial pricing and risk monitoring activities for P&C products, including data extraction, profitability and trend analysis, rate development, filings support, predictive modeling (GLMs, XGBoost, Lasso), QC, automation proposals, and cross-functional collaboration to inform underwriting and pricing decisions.
Summary Generated by Built In
- We are seeking an experienced Sr. Actuarial Analyst to join our team, focusing on risk monitoring, profitability analysis, and other key actuarial functions. This role involves conducting in-depth reviews of insurance product profitability, assessing portfolio risk, and working closely with various teams to support sound underwriting and pricing decisions. The ideal candidate will bring a blend of technical actuarial skills, analytical expertise, and experience within the general insurance industry, particularly in Property & Casualty (P&C).
- Data extraction and preparation for pricing studies and analysis
- Provide Pricing guidance and consulting services to different data, infrastructure and IT team
- Help Data team in developing data mart and recommending data elements to be included for use case enablement – Pricing, Rating , Filing etc.
- Present actionable insights, recommendations and finding to Actuaries and Data team (leadership)
- Develop project plan , execute and help in delivery excellence
- Conduct market and competitor research esp. filing material
- Support filing activities including indications, base rate changes, rate monitoring, dislocations etc.
- Prepare filing exhibits or regulatory requirement exhibits
- Develop internal QC processes to ensure filing accuracy and quality
- Train and upskill team members in new rating and filing tools & techniques
- Identify process enhancements opportunities and propose automation-based solutions
- Apply actuarial pricing techniques of exposure and experience rating based on data quality and availability
- Understand and incorporate product changes, rating factors and other inputs to develop new rates or revise existing rates
- Coordinate with product owners to understand pricing requirements and timelines
- Support actuarial data processing involving loss development, trend analysis and IBNR allocation
- Support data extraction, analysis and transformation to produce final datasets for downstream analysis
- Apply advanced statistical techniques like GLMs, XGBoost, Lasso etc. to build predictive models
- Understand and incorporate external factors like inflation, CAT impact etc.to produce comprehensive rates
- Cross-Functional Collaboration:
- Partner with underwriting, finance, and data analytics teams to align on product goals and refine risk management strategies.
- Bachelor’s degree in actuarial science, Mathematics, Statistics, or a related field; completion of actuarial exams with ASA or FSA designation preferred.
- Extensive experience in P&C Actuarial Pricing – LC Modeling, Rate revisions, indications, Rate monitoring etc.
- Experience working with large data – Policy, claims , external data
- Proven expertise in risk assessment, monitoring, and profitability review.
- Strong analytical and quantitative skills, with proficiency in actuarial modeling software (e.g., R, SAS, Python) and Excel.
- Working experience with insurance regulations, rate filings, and compliance requirements.
- Excellent communication and interpersonal skills, with the ability to explain complex concepts to non-technical stakeholders.
Skills Required
- Bachelor's degree in actuarial science, Mathematics, Statistics, or related field
- Completion of actuarial exams; ASA or FSA designation
- Extensive experience in P&C actuarial pricing, loss cost modeling, rate revisions, indications, and rate monitoring
- Experience working with large policy, claims, and external datasets
- Proven expertise in risk assessment, profitability review, and monitoring
- Proficiency in actuarial modeling software and tools (R, SAS, Python) and Excel
- Working knowledge of insurance regulations, rate filings, and compliance requirements
- Excellent communication and interpersonal skills to explain complex concepts to non-technical stakeholders
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The Company
