Senior Actuarial Analyst – Decision Analytics

Acunor; United States; On-site; USD 110,000 - 175,000; Full time

Job summary

Acunor is seeking a Senior Actuarial Analyst to join the Decision Analytics team, focusing on risk monitoring, profitability analysis, and pricing insights. This remote role collaborates with underwriting, data, and finance to support sound underwriting and pricing decisions.

The ideal candidate applies GLMs, XGBoost, and other techniques to build predictive models, reviews product profitability, and helps develop data elements for use cases like pricing, rating, and filings.

Qualifications

• Bachelor’s degree in Actuarial Science, Mathematics, Statistics, or related field

Responsibilities

• Data extraction and preparation for pricing studies and analysis
• Provide pricing guidance and consulting to data, infrastructure and IT teams
• Develop data elements for use case enablement – Pricing, Rating, Filing, etc.

Skills

Actuarial pricing

Data analysis

Python

R

SAS

Excel

Communication

Education

Bachelor's degree in Actuarial Science, Mathematics, Statistics

Actuarial exams (ASA or FSA) preferred

Tools

Python

R

SAS

Excel

Job description

Job Title : Senior Actuarial Analyst – Decision Analytics

Employment Type: Full-Time

Job Mode: Remote (US&Canada)

Job Summary

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).

Key Responsibilities

• Data extraction and preparation for pricing studies and analysis.
• Provide pricing guidance and consulting services to different data, infrastructure and IT teams.
• 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 findings to Actuaries and Data team leadership.
• Develop project plan, execute and help in delivery excellence.
• Conduct market and competitor research, especially 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 enhancement 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.
• Partner with underwriting, finance, and data analytics teams to align on product goals and refine risk management strategies.
• Present findings to senior leadership, translating complex actuarial concepts into actionable insights.

Qualifications

• 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 such as 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.
• Ability to work independently and collaboratively in a fast-paced, dynamic environment.